text:
DANVILLE, Pennsylvania (CNN) -- When Joseph Homicz's doctor found what could be dangerous blockages of the arteries, he ordered catheterization, a common procedure in which tubes are inserted into the body to check the blood flow.

Dr. Peter Berger, far right, has a 40-item checklist covering steps before, during and after a procedure.

But Homicz's treatment was not quite ordinary because he was sent to a cardiologist working at Geisinger Health System in Danville, Pennsylvania.

Geisinger, which operates hospitals, community clinics and its own insurance company, is enacting what some consider radical ideas to improve patient care and lower costs.

It's a system that President Obama has billed as one of the nation's "islands of excellence."

Homicz's procedure was part of the Proven Care program, in which all of a patient's medical professionals work together to ensure no mistakes are made.

It is everyone's job to make sure any errors are caught, and doctors are graded on the entire treatment a patient receives from the time of diagnosis through an operation to the care received weeks or even months later.

"We want to make it harder to make a mistake," Dr. Peter Berger, Homicz's cardiologist, said after the procedure.  Watch more on Geisinger's approach to health care Â»

Berger has a 40-item checklist covering steps before, during and after the procedure, including checking whether the catheterization is really needed to ensuring he has the right patient on the table.

Berger, who is also the system's director of clinical research, says patients and doctors both benefit from this type of medicine.

"Every study that has been done has shown that doctors and health care systems aren't as good at administering all of the things a patient needs as we ought to be," Berger says. "There are so many watchful eyes on the patient. All members of the team have an assigned responsibility, and we are all making sure we all do our job. I absolutely think that the patients benefit from that kind of approach."

Leading up to Homicz's catheterization and during the procedure, nurses and doctors checked off specific items and were encouraged to check in on what Berger was doing.

Geisinger says this approach encourages teamwork, which leads to better results, less mistakes and increased profits.

"We got a lot of buzz out of the fact that we re-engineered all our care from beginning to end," Dr. Glenn Steele, president and CEO of Geisinger said. He said company employees went out and studied how medical professionals around the country were conducting specific procedures and incorporated the best of what was found.  Watch more of Steele's take Â»

"When you're having heart surgery how tightly should you control the level of your blood sugar? Should you do that with a continuous drip of a medicine called insulin? What should your temperature be exactly when you come out of the operating room and go to recovery room? All of those things are thought or have been proven to be related to the probability of you having a perfect outcome, but none of those things has been formally engineered into a process until we did it," Steele said.

Geisinger says its procedures and operations cost patients less than others.

Some patients who have Geisinger insurance are able to pay a set price. In return, if within 90 days after a procedure they develop any related complications  -- for example an infection, pneumonia, a bleed in the area -- they get free treatment. Geisinger estimates about a third of those using Proven Care are eligible for this guarantee.

"We've found huge decreases in hospitalization and rehospitalization for those patients because they're better cared for," Steele says.

The company also helps keep patients with chronic problems from getting worse by assigning case managers to consult and check in with patients as often as necessary.

For example, James Connelly, a 78-year-old patient with a history of congestive heart failure, kidney disease and artery disease, was admitted to the hospital in May of last year after gaining 14 pounds. After doctors stabilized him and sent him home, Connelly enrolled in the partnering initiative. Each day he enters his weight on a Web site, which is monitored by his case worker. A year later he has lost 14 pounds and is much healthier.

Through technology and its use of electronic medical records, the company says it has shaved costs by preventing unnecessary tests. Also, patient data can be accessed at any of the hospitals or 40 clinics Geisinger operates.

So can the Geisinger system be replicated nationwide?

Geisinger executives say not all of what they have put in place will work elsewhere, however, they say a good portion -- more reliance on electronic records and a greater emphasis on collaboration -- will help dramatically improve health care.

"I think what we can do over the next few years is rather than to try to come on the right formula, the right template for all of the reform, I think what we can do is scale this thing up," Steele said.

"I don't think we have to push the entire system off the cliff because...there is a lot that is designed out there that couldn't do what we are doing."

CNN national political correspondent Jessica Yellin contributed to this report.

text: DANVILLE

text: Pennsylvania

text: CNN

text: When

text: Joseph

text: Homicz

text: 's

text: doctor

text: found

text: what

text: could

text: be

text: dangerous

text: blockages

text: of

text: the

text: arteries

text: he

text: ordered

text: catheterization

text: a

text: common

text: procedure

text: in

text: which

text: tubes

text: are

text: inserted

text: into

text: the

text: body

text: to

text: check

text: the

text: blood

text: flow

text: Dr.

text: Peter

text: Berger

text: far

text: right

text: has

text: a

text: checklist

text: covering

text: steps

text: before

text: during

text: and

text: after

text: a

text: procedure

text: But

text: Homicz

text: 's

text: treatment

text: was

text: not

text: quite

text: ordinary

text: because

text: he

text: was

text: sent

text: to

text: a

text: cardiologist

text: working

text: at

text: Geisinger

text: Health

text: System

text: in

text: Danville

text: Pennsylvania

text: Geisinger

text: which

text: operates

text: hospitals

text: community

text: clinics

text: and

text: its

text: own

text: insurance

text: company

text: is

text: enacting

text: what

text: some

text: consider

text: radical

text: ideas

text: to

text: improve

text: patient

text: care

text: and

text: lower

text: costs

text: It

text: 's

text: a

text: system

text: that

text: President

text: Obama

text: has

text: billed

text: as

text: one

text: of

text: the

text: nation

text: 's

text: islands

text: of

text: excellence

text: Homicz

text: 's

text: procedure

text: was

text: part

text: of

text: the

text: Proven

text: Care

text: program

text: in

text: which

text: all

text: of

text: a

text: patient

text: 's

text: medical

text: professionals

text: work

text: together

text: to

text: ensure

text: no

text: mistakes

text: are

text: made

text: It

text: is

text: everyone

text: 's

text: job

text: to

text: make

text: sure

text: any

text: errors

text: are

text: caught

text: and

text: doctors

text: are

text: graded

text: on

text: the

text: entire

text: treatment

text: a

text: patient

text: receives

text: from

text: the

text: time

text: of

text: diagnosis

text: through

text: an

text: operation

text: to

text: the

text: care

text: received

text: weeks

text: or

text: even

text: months

text: later

text: We

text: want

text: to

text: make

text: it

text: harder

text: to

text: make

text: a

text: mistake

text: Dr.

text: Peter

text: Berger

text: Homicz

text: 's

text: cardiologist

text: said

text: after

text: the

text: procedure

text: Watch

text: more

text: on

text: Geisinger

text: 's

text: approach

text: to

text: health

text: care

text: Â

text: Berger

text: has

text: a

text: checklist

text: covering

text: steps

text: before

text: during

text: and

text: after

text: the

text: procedure

text: including

text: checking

text: whether

text: the

text: catheterization

text: is

text: really

text: needed

text: to

text: ensuring

text: he

text: has

text: the

text: right

text: patient

text: on

text: the

text: table

text: Berger

text: who

text: is

text: also

text: the

text: system

text: 's

text: director

text: of

text: clinical

text: research

text: says

text: patients

text: and

text: doctors

text: both

text: benefit

text: from

text: this

text: type

text: of

text: medicine

text: Every

text: study

text: that

text: has

text: been

text: done

text: has

text: shown

text: that

text: doctors

text: and

text: health

text: care

text: systems

text: are

text: n't

text: as

text: good

text: at

text: administering

text: all

text: of

text: the

text: things

text: a

text: patient

text: needs

text: as

text: we

text: ought

text: to

text: be

text: Berger

text: says

text: There

text: are

text: so

text: many

text: watchful

text: eyes

text: on

text: the

text: patient

text: All

text: members

text: of

text: the

text: team

text: have

text: an

text: assigned

text: responsibility

text: and

text: we

text: are

text: all

text: making

text: sure

text: we

text: all

text: do

text: our

text: job

text: I

text: absolutely

text: think

text: that

text: the

text: patients

text: benefit

text: from

text: that

text: kind

text: of

text: approach

text: Leading

text: up

text: to

text: Homicz

text: 's

text: catheterization

text: and

text: during

text: the

text: procedure

text: nurses

text: and

text: doctors

text: checked

text: off

text: specific

text: items

text: and

text: were

text: encouraged

text: to

text: check

text: in

text: on

text: what

text: Berger

text: was

text: doing

text: Geisinger

text: says

text: this

text: approach

text: encourages

text: teamwork

text: which

text: leads

text: to

text: better

text: results

text: less

text: mistakes

text: and

text: increased

text: profits

text: We

text: got

text: a

text: lot

text: of

text: buzz

text: out

text: of

text: the

text: fact

text: that

text: we

text: re

text: engineered

text: all

text: our

text: care

text: from

text: beginning

text: to

text: end

text: Dr.

text: Glenn

text: Steele

text: president

text: and

text: CEO

text: of

text: Geisinger

text: said

text: He

text: said

text: company

text: employees

text: went

text: out

text: and

text: studied

text: how

text: medical

text: professionals

text: around

text: the

text: country

text: were

text: conducting

text: specific

text: procedures

text: and

text: incorporated

text: the

text: best

text: of

text: what

text: was

text: found

text: Watch

text: more

text: of

text: Steele

text: 's

text: take

text: Â

text: When

text: you

text: 're

text: having

text: heart

text: surgery

text: how

text: tightly

text: should

text: you

text: control

text: the

text: level

text: of

text: your

text: blood

text: sugar

text: Should

text: you

text: do

text: that

text: with

text: a

text: continuous

text: drip

text: of

text: a

text: medicine

text: called

text: insulin

text: What

text: should

text: your

text: temperature

text: be

text: exactly

text: when

text: you

text: come

text: out

text: of

text: the

text: operating

text: room

text: and

text: go

text: to

text: recovery

text: room

text: All

text: of

text: those

text: things

text: are

text: thought

text: or

text: have

text: been

text: proven

text: to

text: be

text: related

text: to

text: the

text: probability

text: of

text: you

text: having

text: a

text: perfect

text: outcome

text: but

text: of

text: those

text: things

text: has

text: been

text: formally

text: engineered

text: into

text: a

text: process

text: until

text: we

text: did

text: it

text: Steele

text: said

text: Geisinger

text: says

text: its

text: procedures

text: and

text: operations

text: cost

text: patients

text: less

text: than

text: others

text: Some

text: patients

text: who

text: have

text: Geisinger

text: insurance

text: are

text: able

text: to

text: pay

text: a

text: set

text: price

text: In

text: return

text: if

text: within

text: days

text: after

text: a

text: procedure

text: they

text: develop

text: any

text: related

text: complications

text: for

text: example

text: an

text: infection

text: pneumonia

text: a

text: bleed

text: in

text: the

text: area

text: they

text: get

text: free

text: treatment

text: Geisinger

text: estimates

text: about

text: a

text: third

text: of

text: those

text: using

text: Proven

text: Care

text: are

text: eligible

text: for

text: this

text: guarantee

text: We

text: 've

text: found

text: huge

text: decreases

text: in

text: hospitalization

text: and

text: rehospitalization

text: for

text: those

text: patients

text: because

text: they

text: 're

text: better

text: cared

text: for

text: Steele

text: says

text: The

text: company

text: also

text: helps

text: keep

text: patients

text: with

text: chronic

text: problems

text: from

text: getting

text: worse

text: by

text: assigning

text: case

text: managers

text: to

text: consult

text: and

text: check

text: in

text: with

text: patients

text: as

text: often

text: as

text: necessary

text: For

text: example

text: James

text: Connelly

text: a

text: old

text: patient

text: with

text: a

text: history

text: of

text: congestive

text: heart

text: failure

text: kidney

text: disease

text: and

text: artery

text: disease

text: was

text: admitted

text: to

text: the

text: hospital

text: in

text: May

text: of

text: last

text: year

text: after

text: gaining

text: pounds

text: After

text: doctors

text: stabilized

text: him

text: and

text: sent

text: him

text: home

text: Connelly

text: enrolled

text: in

text: the

text: partnering

text: initiative

text: Each

text: day

text: he

text: enters

text: his

text: weight

text: on

text: a

text: Web

text: site

text: which

text: is

text: monitored

text: by

text: his

text: case

text: worker

text: A

text: year

text: later

text: he

text: has

text: lost

text: pounds

text: and

text: is

text: much

text: healthier

text: Through

text: technology

text: and

text: its

text: use

text: of

text: electronic

text: medical

text: records

text: the

text: company

text: says

text: it

text: has

text: shaved

text: costs

text: by

text: preventing

text: unnecessary

text: tests

text: Also

text: patient

text: data

text: can

text: be

text: accessed

text: at

text: any

text: of

text: the

text: hospitals

text: or

text: clinics

text: Geisinger

text: operates

text: So

text: can

text: the

text: Geisinger

text: system

text: be

text: replicated

text: nationwide

text: Geisinger

text: executives

text: say

text: not

text: all

text: of

text: what

text: they

text: have

text: put

text: in

text: place

text: will

text: work

text: elsewhere

text: however

text: they

text: say

text: a

text: good

text: portion

text: more

text: reliance

text: on

text: electronic

text: records

text: and

text: a

text: greater

text: emphasis

text: on

text: collaboration

text: will

text: help

text: dramatically

text: improve

text: health

text: care

text: I

text: think

text: what

text: we

text: can

text: do

text: over

text: the

text: next

text: few

text: years

text: is

text: rather

text: than

text: to

text: try

text: to

text: come

text: on

text: the

text: right

text: formula

text: the

text: right

text: template

text: for

text: all

text: of

text: the

text: reform

text: I

text: think

text: what

text: we

text: can

text: do

text: is

text: scale

text: this

text: thing

text: up

text: Steele

text: said

text: I

text: do

text: n't

text: think

text: we

text: have

text: to

text: push

text: the

text: entire

text: system

text: off

text: the

text: cliff

text: because

text: there

text: is

text: a

text: lot

text: that

text: is

text: designed

text: out

text: there

text: that

text: could

text: n't

text: do

text: what

text: we

text: are

text: doing

text: CNN

text: national

text: political

text: correspondent

text: Jessica

text: Yellin

text: contributed

text: to

text: this

text: report

question: Where Geisinger operate their business?

answer: Danville, Pennsylvania.

text: Danville, Pennsylvania.

question: what did they re-engineer

answer: all our care

text: all our care

question: What does the company say cost patients less?

answer: s procedures and operation

text: s procedures and operation

question: what does the company say

answer: this approach encourages teamwork, which leads to better results, less mistakes and increased profits.

text: this approach encourages teamwork, which leads to better results, less mistakes and increased profits.

question: what does Geisinger operate

answer: hospitals, community clinics and its own insurance company,

text: hospitals, community clinics and its own insurance company,

question: What does the CEO say that the company has re-engineered?

answer: all our care from beginning to end,"

text: all our care from beginning to end,"


text:
MEXICO CITY, Mexico (CNN)  -- A recently retired Mexican army general whose bullet-riddled body was found Tuesday near Cancun had taken over as the area's top antidrug official less than 24 hours earlier, officials said.

A soldier guards the forensics office where the body of a slain former general was taken in Cancun, Mexico.

Retired Gen. Mauro Enrique Tello QuiÃ±onez, his aide and a driver were tortured before being killed, said Quintana Roo state prosecutor Bello Melchor Rodriguez y Carrillo. He said there was no doubt Tello and the others were victims of organized crime.

"The general was the most mistreated," Rodriguez said at a Tuesday night news conference monitored by El Universal newspaper. "He had burns on his skin and bones in his hands and wrists were broken."

An autopsy revealed Tello also suffered broken knees and was shot 11 times, Mexico City's Excelsior newspaper said.

Tello had just been appointed a special drug-fighting consultant for Gregorio Sanchez Martinez, the mayor of the Benito Juarez municipality, which includes the city of Cancun. Tello, who retired from the army in January at the mandatory age of 63, had moved to the resort area three weeks ago.

The three victims were found inside a white Toyota  pickup truck outside of Cancun on the road to Merida.

The truck belongs to the Benito Juarez municipality, Excelsior said, citing Luis Raymundo Canche, an assistant prosecutor for Quintana Roo state.

The three men were abducted Monday night, possibly in Cancun, tortured and then later shot to death, El Universal said, citing prosecutor Rodriguez. The bodies were found with their hands bound, the newspaper said.

The killings happened around 4 a.m., the prosecutor said.

The other two victims were identified as Lt. Julio Cesar Roman Zuniga, who was Tello's aide and the chief bodyguard for Mayor MartÃnez, and civilian driver Juan Ramirez Sanchez.

Tello is the second high-ranking army officer to be killed in the area in the past few years. Lt. Col. Wilfrido Flores Saucedo and his aide were gunned down on a Cancun street in 2006. That crime remains unsolved.

The killings come as Mexico grapples with the highest violent-death rates in its history -- around 5,400 slayings in 2008, more than double the 2,477 reported in 2007, according to Attorney General Eduardo Medina Mora.

Former U.S. House Speaker Newt Gingrich has characterized the battle among drug cartels and with government authorities as a "civil war."

On Tuesday, 12 men were gunned down in Chihuahua state in northern Mexico, Excelsior reported Wednesday. Eight other people were shot and killed in Chihuahua last weekend.

More than 200 people have been killed this year in Ciudad Juarez, the largest city in Chihuahua and considered the most violent town in Mexico, El Tiempo newspaper said, citing local authorities.

Last year, according to the National Commission on Human Rights, there were 1,900 organized crime killings in the state of Chihuahua. About 1,600 of those slayings occurred in Ciudad Juarez.

text: MEXICO

text: CITY

text: Mexico

text: CNN

text: A

text: recently

text: retired

text: Mexican

text: army

text: general

text: whose

text: bullet

text: riddled

text: body

text: was

text: found

text: Tuesday

text: near

text: Cancun

text: had

text: taken

text: over

text: as

text: the

text: area

text: 's

text: top

text: antidrug

text: official

text: less

text: than

text: hours

text: earlier

text: officials

text: said

text: A

text: soldier

text: guards

text: the

text: forensics

text: office

text: where

text: the

text: body

text: of

text: a

text: slain

text: former

text: general

text: was

text: taken

text: in

text: Cancun

text: Mexico

text: Retired

text: Gen.

text: Mauro

text: Enrique

text: Tello

text: QuiÃ±onez

text: his

text: aide

text: and

text: a

text: driver

text: were

text: tortured

text: before

text: being

text: killed

text: said

text: Quintana

text: Roo

text: state

text: prosecutor

text: Bello

text: Melchor

text: Rodriguez

text: y

text: Carrillo

text: He

text: said

text: there

text: was

text: no

text: doubt

text: Tello

text: and

text: the

text: others

text: were

text: victims

text: of

text: organized

text: crime

text: The

text: general

text: was

text: the

text: most

text: mistreated

text: Rodriguez

text: said

text: at

text: a

text: Tuesday

text: night

text: news

text: conference

text: monitored

text: by

text: El

text: Universal

text: newspaper

text: He

text: had

text: burns

text: on

text: his

text: skin

text: and

text: bones

text: in

text: his

text: hands

text: and

text: wrists

text: were

text: broken

text: An

text: autopsy

text: revealed

text: Tello

text: also

text: suffered

text: broken

text: knees

text: and

text: was

text: shot

text: times

text: Mexico

text: City

text: 's

text: Excelsior

text: newspaper

text: said

text: Tello

text: had

text: just

text: been

text: appointed

text: a

text: special

text: drug

text: fighting

text: consultant

text: for

text: Gregorio

text: Sanchez

text: Martinez

text: the

text: mayor

text: of

text: the

text: Benito

text: Juarez

text: municipality

text: which

text: includes

text: the

text: city

text: of

text: Cancun

text: Tello

text: who

text: retired

text: from

text: the

text: army

text: in

text: January

text: at

text: the

text: mandatory

text: age

text: of

text: had

text: moved

text: to

text: the

text: resort

text: area

text: three

text: weeks

text: ago

text: The

text: three

text: victims

text: were

text: found

text: inside

text: a

text: white

text: Toyota

text: pickup

text: truck

text: outside

text: of

text: Cancun

text: on

text: the

text: road

text: to

text: Merida

text: The

text: truck

text: belongs

text: to

text: the

text: Benito

text: Juarez

text: municipality

text: Excelsior

text: said

text: citing

text: Luis

text: Raymundo

text: Canche

text: an

text: assistant

text: prosecutor

text: for

text: Quintana

text: Roo

text: state

text: The

text: three

text: men

text: were

text: abducted

text: Monday

text: night

text: possibly

text: in

text: Cancun

text: tortured

text: and

text: then

text: later

text: shot

text: to

text: death

text: El

text: Universal

text: said

text: citing

text: prosecutor

text: Rodriguez

text: The

text: bodies

text: were

text: found

text: with

text: their

text: hands

text: bound

text: the

text: newspaper

text: said

text: The

text: killings

text: happened

text: around

text: a.m.

text: the

text: prosecutor

text: said

text: The

text: other

text: two

text: victims

text: were

text: identified

text: as

text: Lt

text: Julio

text: Cesar

text: Roman

text: Zuniga

text: who

text: was

text: Tello

text: 's

text: aide

text: and

text: the

text: chief

text: bodyguard

text: for

text: Mayor

text: MartÃnez

text: and

text: civilian

text: driver

text: Juan

text: Ramirez

text: Sanchez

text: Tello

text: is

text: the

text: second

text: high

text: ranking

text: army

text: officer

text: to

text: be

text: killed

text: in

text: the

text: area

text: in

text: the

text: past

text: few

text: years

text: Lt

text: Col

text: Wilfrido

text: Flores

text: Saucedo

text: and

text: his

text: aide

text: were

text: gunned

text: down

text: on

text: a

text: Cancun

text: street

text: in

text: That

text: crime

text: remains

text: unsolved

text: The

text: killings

text: come

text: as

text: Mexico

text: grapples

text: with

text: the

text: highest

text: violent

text: death

text: rates

text: in

text: its

text: history

text: around

text: slayings

text: in

text: more

text: than

text: double

text: the

text: reported

text: in

text: according

text: to

text: Attorney

text: General

text: Eduardo

text: Medina

text: Mora

text: Former

text: U.S.

text: House

text: Speaker

text: Newt

text: Gingrich

text: has

text: characterized

text: the

text: battle

text: among

text: drug

text: cartels

text: and

text: with

text: government

text: authorities

text: as

text: a

text: civil

text: war

text: On

text: Tuesday

text: men

text: were

text: gunned

text: down

text: in

text: Chihuahua

text: state

text: in

text: northern

text: Mexico

text: Excelsior

text: reported

text: Wednesday

text: Eight

text: other

text: people

text: were

text: shot

text: and

text: killed

text: in

text: Chihuahua

text: last

text: weekend

text: More

text: than

text: people

text: have

text: been

text: killed

text: this

text: year

text: in

text: Ciudad

text: Juarez

text: the

text: largest

text: city

text: in

text: Chihuahua

text: and

text: considered

text: the

text: most

text: violent

text: town

text: in

text: Mexico

text: El

text: Tiempo

text: newspaper

text: said

text: citing

text: local

text: authorities

text: Last

text: year

text: according

text: to

text: the

text: National

text: Commission

text: on

text: Human

text: Rights

text: there

text: were

text: organized

text: crime

text: killings

text: in

text: the

text: state

text: of

text: Chihuahua

text: About

text: of

text: those

text: slayings

text: occurred

text: in

text: Ciudad

text: Juarez

question: How many times was QuiÃ±onez shot?

answer: 11

question: How many times was the general shot?

answer: 11

question: Who was tortured before being killed?

answer: Retired Gen. Mauro Enrique Tello QuiÃ±onez,

text: Retired Gen. Mauro Enrique Tello QuiÃ±onez,

question: Who moved to Cancun?

answer: Tello

text: Tello

question: Name of the retired general?

answer: Mauro Enrique Tello QuiÃ±onez,

text: Mauro Enrique Tello QuiÃ±onez,

question: Age of the former general?

answer: 63,

question: What was Mauro Enrique Tello QuiÃ±onez's rank?

answer: Retired Gen.

text: Retired Gen.

question: Where had he moved to the week before?

answer: resort area

text: resort area

question: What happened to the general before he was killed?

answer: Gen. Mauro Enrique Tello QuiÃ±onez, his aide and a driver were tortured

text: Gen. Mauro Enrique Tello QuiÃ±onez, his aide and a driver were tortured

question: When did this officer move to Cancun?

answer: three weeks ago.

text: three weeks ago.

question: What did prosecuters say?

answer: The three men were abducted Monday night, possibly in Cancun, tortured and then later shot to death,

text: The three men were abducted Monday night, possibly in Cancun, tortured and then later shot to death,


text:
NEW DELHI, India (CNN) -- "Slumdog Millionaire" leaves audiences uplifted. But that is hardly how one of its child stars felt on Thursday.

Indian authorities demolished the home of "Slumdog Millionaire" child actor Azharuddin Mohammed Ismail.

Despite the hit movie's mega-millions in box-office receipts, Azharuddin Mohammed Ismail's life changed little after he returned home to Mumbai, India's, Garib Nagar, or city of the poor.

On Thursday, even the roof over the real-life slum dweller's head was taken away as Indian authorities tore down the shanty where Ismail's family lived.

Authorities said the home and about 20 others around it were illegally built.

Senior Inspector Rahim Sheikh told CNN that the shanties were brought down as part of a municipal drive to clear encroachments on public land. Bulldozers leveled the slum built on a municipal garden, said Sheikh, who is in charge of the locality in Mumbai where Ismail lived.

The little boy sat among twisted corrugated metal and other debris, surrounded by filth and squalor. Memories of Hollywood's glitz and glitter were distant as tears streamed down his face.

He said his family was given no notice of the demolition and did not have time to remove their belongings. But, they said, they plan to return and rebuild.  Watch 'Slumdog' actor's home razed. Â»

"Slumdog Millionaire" is the story of Jamal, an impoverished, uneducated teen who competes on an Indian game show. Ismail, who played a young Jamal's brother, Salim, traveled to Los Angeles, California, in February for this year's Academy Awards, where the movie won eight Oscars, including best picture.

CNN's Sara Sidner contributed to this story.

text: NEW

text: DELHI

text: India

text: CNN

text: Slumdog

text: Millionaire

text: leaves

text: audiences

text: uplifted

text: But

text: that

text: is

text: hardly

text: how

text: one

text: of

text: its

text: child

text: stars

text: felt

text: on

text: Thursday

text: Indian

text: authorities

text: demolished

text: the

text: home

text: of

text: Slumdog

text: Millionaire

text: child

text: actor

text: Azharuddin

text: Mohammed

text: Ismail

text: Despite

text: the

text: hit

text: movie

text: 's

text: mega

text: millions

text: in

text: box

text: office

text: receipts

text: Azharuddin

text: Mohammed

text: Ismail

text: 's

text: life

text: changed

text: little

text: after

text: he

text: returned

text: home

text: to

text: Mumbai

text: India

text: 's

text: Garib

text: Nagar

text: or

text: city

text: of

text: the

text: poor

text: On

text: Thursday

text: even

text: the

text: roof

text: over

text: the

text: real

text: life

text: slum

text: dweller

text: 's

text: head

text: was

text: taken

text: away

text: as

text: Indian

text: authorities

text: tore

text: down

text: the

text: shanty

text: where

text: Ismail

text: 's

text: family

text: lived

text: Authorities

text: said

text: the

text: home

text: and

text: about

text: others

text: around

text: it

text: were

text: illegally

text: built

text: Senior

text: Inspector

text: Rahim

text: Sheikh

text: told

text: CNN

text: that

text: the

text: shanties

text: were

text: brought

text: down

text: as

text: part

text: of

text: a

text: municipal

text: drive

text: to

text: clear

text: encroachments

text: on

text: public

text: land

text: Bulldozers

text: leveled

text: the

text: slum

text: built

text: on

text: a

text: municipal

text: garden

text: said

text: Sheikh

text: who

text: is

text: in

text: charge

text: of

text: the

text: locality

text: in

text: Mumbai

text: where

text: Ismail

text: lived

text: The

text: little

text: boy

text: sat

text: among

text: twisted

text: corrugated

text: metal

text: and

text: other

text: debris

text: surrounded

text: by

text: filth

text: and

text: squalor

text: Memories

text: of

text: Hollywood

text: 's

text: glitz

text: and

text: glitter

text: were

text: distant

text: as

text: tears

text: streamed

text: down

text: his

text: face

text: He

text: said

text: his

text: family

text: was

text: given

text: no

text: notice

text: of

text: the

text: demolition

text: and

text: did

text: not

text: have

text: time

text: to

text: remove

text: their

text: belongings

text: But

text: they

text: said

text: they

text: plan

text: to

text: return

text: and

text: rebuild

text: Watch

text: Slumdog

text: actor

text: 's

text: home

text: razed

text: Â

text: Slumdog

text: Millionaire

text: is

text: the

text: story

text: of

text: Jamal

text: an

text: impoverished

text: uneducated

text: teen

text: who

text: competes

text: on

text: an

text: Indian

text: game

text: show

text: Ismail

text: who

text: played

text: a

text: young

text: Jamal

text: 's

text: brother

text: Salim

text: traveled

text: to

text: Los

text: Angeles

text: California

text: in

text: February

text: for

text: this

text: year

text: 's

text: Academy

text: Awards

text: where

text: the

text: movie

text: won

text: eight

text: Oscars

text: including

text: best

text: picture

text: CNN

text: 's

text: Sara

text: Sidner

text: contributed

text: to

text: this

text: story

question: What is the name of the city of the poor?

answer: Garib Nagar,

text: Garib Nagar,

question: What is the number of homes illegally built?

answer: 20

question: What does Garib Nagar mean?

answer: city of the poor.

text: city of the poor.

question: What did the family say?

answer: was given no notice of the demolition and

text: was given no notice of the demolition and

question: Where is Ismail's home?

answer: Mumbai, India's,

text: Mumbai, India's,


text:
WASHINGTON (CNN) -- A man dubbed "the Field Marshal" by one advocacy group for alleged third-world arms dealing has been arrested on charges that he conspired to illegally export U.S. F-5 fighter jet engines and parts to Iran.

An Iranian F-5 fighter jet lands in southern Iran during a military exercise on June 23, 2009.

Jacques Monsieur, 56, a Belgium native who currently lives in France, was arrested Friday in New York, officials said. An indictment also charges Dara Fotouhi, 54, an Iranian living in France, with participating in the alleged crime. Fotouhi remains at large, official said.

Monsieur pleaded not guilty at an arraignment Wednesday in Mobile, Alabama, where he is being held.

He and Fotouhi are charged with conspiracy, money laundering and smuggling, as well as violations of the Arms Export Control Act and the International Emergency Economic Powers Act.

According to the indictment and an affidavit filed in the case, both are experienced arms dealers who have been actively working with the Iranian government to procure military items.

The F-5 Freedom Fighter, also called the Tiger, is built by Northrop and is used by the U.S. military for training. It is also sold overseas as a combat aircraft.

The F-5 engine and parts are listed on the U.S. Munitions List and may not be exported from the United States without a license from the State Department, said John Morton, head of Immigration and Customs Enforcement, and they can not be exported to Iran without a license from the Treasury Department.

In a 2002 report by the Center for Public Integrity, a citizen advocacy group, Monsieur was nicknamed "the Field Marshal" for allegedly acting as a middle-man in numerous arms deals with war-torn countries.

The center's report said Monsieur is "believed to be among the biggest arms traffickers in Europe" and said he "violated a United Nations embargo by shipping arms to Bosnia and Croatia during the long, bloody conflict in those countries, with the approval, he later claimed, of both the U.S. Central Intelligence Agency and the ... French domestic intelligence service."

Morton said his agency launched an investigation in February when Monsieur contacted an undercover federal agent and indicated he wanted to buy engines for F-5 or C-130 aircraft for export to Iran. In subsequent e-mails to the agent, Monsieur requested engines for F-5 jet fighters.

Officials said the engines could be used as replacements in fighters sold to Iran by the United States before the imposition of sanctions in 1995.

In March, Monsieur met with the undercover agent in Paris and again requested engines and parts, the indictment alleges.

They met again in May in London, where Monsieur introduced Fotouhi as a business associate and again discussed the export of F-5 engines to Iran, according to the indictment. During this negotiation, it says, Monsieur and Fotouhi asked the agent if he could use U.S. shipping or export authorization documents that falsely indicated the items were going to Colombia.

In July, Monsieur and Fotouhi wired about $110,000 from a bank in the United Arab Emirates to one in Mobile, Alabama, the indictment says. "The two believed the funds would be used for the purchase of F-5 aircraft parts," Morton said. Monsieur indicated he would deposit an additional $300,000 as a down payment for the purchase of two jet engines.

"This is part of our long-standing efforts to ensure that sensitive military equipment is not exported in violation of U.S. law and against the international interests of the United States," Morton said.

text: WASHINGTON

text: CNN

text: A

text: man

text: dubbed

text: the

text: Field

text: Marshal

text: by

text: one

text: advocacy

text: group

text: for

text: alleged

text: third

text: world

text: arms

text: dealing

text: has

text: been

text: arrested

text: on

text: charges

text: that

text: he

text: conspired

text: to

text: illegally

text: export

text: U.S.

text: fighter

text: jet

text: engines

text: and

text: parts

text: to

text: Iran

text: An

text: Iranian

text: fighter

text: jet

text: lands

text: in

text: southern

text: Iran

text: during

text: a

text: military

text: exercise

text: on

text: June

text: Jacques

text: Monsieur

text: a

text: Belgium

text: native

text: who

text: currently

text: lives

text: in

text: France

text: was

text: arrested

text: Friday

text: in

text: New

text: York

text: officials

text: said

text: An

text: indictment

text: also

text: charges

text: Dara

text: Fotouhi

text: an

text: Iranian

text: living

text: in

text: France

text: with

text: participating

text: in

text: the

text: alleged

text: crime

text: Fotouhi

text: remains

text: at

text: large

text: official

text: said

text: Monsieur

text: pleaded

text: not

text: guilty

text: at

text: an

text: arraignment

text: Wednesday

text: in

text: Mobile

text: Alabama

text: where

text: he

text: is

text: being

text: held

text: He

text: and

text: Fotouhi

text: are

text: charged

text: with

text: conspiracy

text: money

text: laundering

text: and

text: smuggling

text: as

text: well

text: as

text: violations

text: of

text: the

text: Arms

text: Export

text: Control

text: Act

text: and

text: the

text: International

text: Emergency

text: Economic

text: Powers

text: Act

text: According

text: to

text: the

text: indictment

text: and

text: an

text: affidavit

text: filed

text: in

text: the

text: case

text: both

text: are

text: experienced

text: arms

text: dealers

text: who

text: have

text: been

text: actively

text: working

text: with

text: the

text: Iranian

text: government

text: to

text: procure

text: military

text: items

text: The

text: Freedom

text: Fighter

text: also

text: called

text: the

text: Tiger

text: is

text: built

text: by

text: Northrop

text: and

text: is

text: used

text: by

text: the

text: U.S.

text: military

text: for

text: training

text: It

text: is

text: also

text: sold

text: overseas

text: as

text: a

text: combat

text: aircraft

text: The

text: engine

text: and

text: parts

text: are

text: listed

text: on

text: the

text: U.S.

text: Munitions

text: List

text: and

text: may

text: not

text: be

text: exported

text: from

text: the

text: United

text: States

text: without

text: a

text: license

text: from

text: the

text: State

text: Department

text: said

text: John

text: Morton

text: head

text: of

text: Immigration

text: and

text: Customs

text: Enforcement

text: and

text: they

text: can

text: not

text: be

text: exported

text: to

text: Iran

text: without

text: a

text: license

text: from

text: the

text: Treasury

text: Department

text: In

text: a

text: report

text: by

text: the

text: Center

text: for

text: Public

text: Integrity

text: a

text: citizen

text: advocacy

text: group

text: Monsieur

text: was

text: nicknamed

text: the

text: Field

text: Marshal

text: for

text: allegedly

text: acting

text: as

text: a

text: middle

text: man

text: in

text: numerous

text: arms

text: deals

text: with

text: war

text: torn

text: countries

text: The

text: center

text: 's

text: report

text: said

text: Monsieur

text: is

text: believed

text: to

text: be

text: among

text: the

text: biggest

text: arms

text: traffickers

text: in

text: Europe

text: and

text: said

text: he

text: violated

text: a

text: United

text: Nations

text: embargo

text: by

text: shipping

text: arms

text: to

text: Bosnia

text: and

text: Croatia

text: during

text: the

text: long

text: bloody

text: conflict

text: in

text: those

text: countries

text: with

text: the

text: approval

text: he

text: later

text: claimed

text: of

text: both

text: the

text: U.S.

text: Central

text: Intelligence

text: Agency

text: and

text: the

text: French

text: domestic

text: intelligence

text: service

text: Morton

text: said

text: his

text: agency

text: launched

text: an

text: investigation

text: in

text: February

text: when

text: Monsieur

text: contacted

text: an

text: undercover

text: federal

text: agent

text: and

text: indicated

text: he

text: wanted

text: to

text: buy

text: engines

text: for

text: or

text: aircraft

text: for

text: export

text: to

text: Iran

text: In

text: subsequent

text: e

text: mails

text: to

text: the

text: agent

text: Monsieur

text: requested

text: engines

text: for

text: jet

text: fighters

text: Officials

text: said

text: the

text: engines

text: could

text: be

text: used

text: as

text: replacements

text: in

text: fighters

text: sold

text: to

text: Iran

text: by

text: the

text: United

text: States

text: before

text: the

text: imposition

text: of

text: sanctions

text: in

text: In

text: March

text: Monsieur

text: met

text: with

text: the

text: undercover

text: agent

text: in

text: Paris

text: and

text: again

text: requested

text: engines

text: and

text: parts

text: the

text: indictment

text: alleges

text: They

text: met

text: again

text: in

text: May

text: in

text: London

text: where

text: Monsieur

text: introduced

text: Fotouhi

text: as

text: a

text: business

text: associate

text: and

text: again

text: discussed

text: the

text: export

text: of

text: engines

text: to

text: Iran

text: according

text: to

text: the

text: indictment

text: During

text: this

text: negotiation

text: it

text: says

text: Monsieur

text: and

text: Fotouhi

text: asked

text: the

text: agent

text: if

text: he

text: could

text: use

text: U.S.

text: shipping

text: or

text: export

text: authorization

text: documents

text: that

text: falsely

text: indicated

text: the

text: items

text: were

text: going

text: to

text: Colombia

text: In

text: July

text: Monsieur

text: and

text: Fotouhi

text: wired

text: about

text: from

text: a

text: bank

text: in

text: the

text: United

text: Arab

text: Emirates

text: to

text: one

text: in

text: Mobile

text: Alabama

text: the

text: indictment

text: says

text: The

text: two

text: believed

text: the

text: funds

text: would

text: be

text: used

text: for

text: the

text: purchase

text: of

text: aircraft

text: parts

text: Morton

text: said

text: Monsieur

text: indicated

text: he

text: would

text: deposit

text: an

text: additional

text: as

text: a

text: down

text: payment

text: for

text: the

text: purchase

text: of

text: two

text: jet

text: engines

text: This

text: is

text: part

text: of

text: our

text: long

text: standing

text: efforts

text: to

text: ensure

text: that

text: sensitive

text: military

text: equipment

text: is

text: not

text: exported

text: in

text: violation

text: of

text: U.S.

text: law

text: and

text: against

text: the

text: international

text: interests

text: of

text: the

text: United

text: States

text: Morton

text: said

question: Who is the F-5 built by?

answer: Northrop

text: Northrop

question: Who  launched investigation?

answer: Immigration and Customs Enforcement,

text: Immigration and Customs Enforcement,

question: What was the man dubbed that tried to get engine parts for Iran?

answer: "the Field Marshal"

text: "the Field Marshal"

question: Who launched the investigation?

answer: his agency

text: his agency

question: What was the F-5 used for thst was built by Northrop?

answer: training.

text: training.

question: What agencies launched the investigation?

answer: U.S. Central Intelligence Agency

text: U.S. Central Intelligence Agency

question: The man was dubbed what?

answer: "the Field Marshal"

text: "the Field Marshal"

question: The F-5 is built by what company?

answer: Northrop

text: Northrop


text:
(CNN) -- The city of New Haven, Connecticut, will promote 14 firefighters who were involved in a workplace discrimination case that worked its way to the U.S. Supreme Court.

The firefighters were among the New Haven 20 -- one Hispanic and 19 white firefighters -- who fought the city after it threw out the results of a 2003 firefighter promotion exam that left too few minorities qualified for promotions.

A U.S. District Court issued a judgment finding the city violated the civil rights of a group of the white firefighters when it threw out the exams in 2004, according to Jessica Mayorga, city spokeswoman. The Tuesday decision follows a court action by seven black New Haven firefighters seeking to delay the promotions.

"Yesterday, the court entered an order that provides the City of New Haven with the legal sanction necessary to move forward and promote the fourteen plaintiffs in the Ricci case entitled to promotions," the city said in a statement. "As a result, we intend to do so as soon as practicable."

The firefighters will be promoted to either lieutenant or captain.

Mayorga said the other six involved in the lawsuit were not eligible for promotions that were available at the time the exams were given. She said the court's order only addresses 14 of the 20 plaintiffs. If the exams had been certified in 2004, the other six plaintiffs would not have been promoted.

The case was the center of attention during the Supreme Court confirmation hearings of now-Justice Sonia Sotomayor, who was on the 2nd Circuit Court of Appeals that backed the city in the case. The U.S. Supreme Court eventually overturned the appeals court ruling 5-4 earlier this year when the justices ruled that the city improperly threw out the results of the promotion exams.

Key plaintiff Frank Ricci and others took promotion exams in 2003 for lieutenant and captain positions that had become available in Connecticut's second-largest city.

New Haven's personnel department had contracted with a private firm to design the exams.

When the results came back, however, city lawyers expressed concern about the results because none of the black firefighters and only one Latino who took the exam scored high enough to be promoted.

The city said that under a federal civil rights law known as Title VII, employers must ban actions such as promotion tests that would have a "disparate impact" on a protected class, such as a specified race or gender. The group of firefighters, claiming they were wronged by the city's action, then sued, calling themselves the "New Haven 20."

text: CNN

text: The

text: city

text: of

text: New

text: Haven

text: Connecticut

text: will

text: promote

text: firefighters

text: who

text: were

text: involved

text: in

text: a

text: workplace

text: discrimination

text: case

text: that

text: worked

text: its

text: way

text: to

text: the

text: U.S.

text: Supreme

text: Court

text: The

text: firefighters

text: were

text: among

text: the

text: New

text: Haven

text: one

text: Hispanic

text: and

text: white

text: firefighters

text: who

text: fought

text: the

text: city

text: after

text: it

text: threw

text: out

text: the

text: results

text: of

text: a

text: firefighter

text: promotion

text: exam

text: that

text: left

text: too

text: few

text: minorities

text: qualified

text: for

text: promotions

text: A

text: U.S.

text: District

text: Court

text: issued

text: a

text: judgment

text: finding

text: the

text: city

text: violated

text: the

text: civil

text: rights

text: of

text: a

text: group

text: of

text: the

text: white

text: firefighters

text: when

text: it

text: threw

text: out

text: the

text: exams

text: in

text: according

text: to

text: Jessica

text: Mayorga

text: city

text: spokeswoman

text: The

text: Tuesday

text: decision

text: follows

text: a

text: court

text: action

text: by

text: seven

text: black

text: New

text: Haven

text: firefighters

text: seeking

text: to

text: delay

text: the

text: promotions

text: Yesterday

text: the

text: court

text: entered

text: an

text: order

text: that

text: provides

text: the

text: City

text: of

text: New

text: Haven

text: with

text: the

text: legal

text: sanction

text: necessary

text: to

text: move

text: forward

text: and

text: promote

text: the

text: fourteen

text: plaintiffs

text: in

text: the

text: Ricci

text: case

text: entitled

text: to

text: promotions

text: the

text: city

text: said

text: in

text: a

text: statement

text: As

text: a

text: result

text: we

text: intend

text: to

text: do

text: so

text: as

text: soon

text: as

text: practicable

text: The

text: firefighters

text: will

text: be

text: promoted

text: to

text: either

text: lieutenant

text: or

text: captain

text: Mayorga

text: said

text: the

text: other

text: six

text: involved

text: in

text: the

text: lawsuit

text: were

text: not

text: eligible

text: for

text: promotions

text: that

text: were

text: available

text: at

text: the

text: time

text: the

text: exams

text: were

text: given

text: She

text: said

text: the

text: court

text: 's

text: order

text: only

text: addresses

text: of

text: the

text: plaintiffs

text: If

text: the

text: exams

text: had

text: been

text: certified

text: in

text: the

text: other

text: six

text: plaintiffs

text: would

text: not

text: have

text: been

text: promoted

text: The

text: case

text: was

text: the

text: center

text: of

text: attention

text: during

text: the

text: Supreme

text: Court

text: confirmation

text: hearings

text: of

text: now

text: Justice

text: Sonia

text: Sotomayor

text: who

text: was

text: on

text: the

text: Circuit

text: Court

text: of

text: Appeals

text: that

text: backed

text: the

text: city

text: in

text: the

text: case

text: The

text: U.S.

text: Supreme

text: Court

text: eventually

text: overturned

text: the

text: appeals

text: court

text: ruling

text: earlier

text: this

text: year

text: when

text: the

text: justices

text: ruled

text: that

text: the

text: city

text: improperly

text: threw

text: out

text: the

text: results

text: of

text: the

text: promotion

text: exams

text: Key

text: plaintiff

text: Frank

text: Ricci

text: and

text: others

text: took

text: promotion

text: exams

text: in

text: for

text: lieutenant

text: and

text: captain

text: positions

text: that

text: had

text: become

text: available

text: in

text: Connecticut

text: 's

text: second

text: largest

text: city

text: New

text: Haven

text: 's

text: personnel

text: department

text: had

text: contracted

text: with

text: a

text: private

text: firm

text: to

text: design

text: the

text: exams

text: When

text: the

text: results

text: came

text: back

text: however

text: city

text: lawyers

text: expressed

text: concern

text: about

text: the

text: results

text: because

text: of

text: the

text: black

text: firefighters

text: and

text: only

text: one

text: Latino

text: who

text: took

text: the

text: exam

text: scored

text: high

text: enough

text: to

text: be

text: promoted

text: The

text: city

text: said

text: that

text: under

text: a

text: federal

text: civil

text: rights

text: law

text: known

text: as

text: Title

text: VII

text: employers

text: must

text: ban

text: actions

text: such

text: as

text: promotion

text: tests

text: that

text: would

text: have

text: a

text: disparate

text: impact

text: on

text: a

text: protected

text: class

text: such

text: as

text: a

text: specified

text: race

text: or

text: gender

text: The

text: group

text: of

text: firefighters

text: claiming

text: they

text: were

text: wronged

text: by

text: the

text: city

text: 's

text: action

text: then

text: sued

text: calling

text: themselves

text: the

text: New

text: Haven

question: What did the test leave too few of?

answer: minorities qualified for promotions.

text: minorities qualified for promotions.

question: how many firefighters will be promoted?

answer: 14

question: What did New Haven lawyers say?

answer: expressed concern about the results because none of the black firefighters and only one Latino who took the exam scored high enough to be promoted.

text: expressed concern about the results because none of the black firefighters and only one Latino who took the exam scored high enough to be promoted.

question: How many firefighters get promoted?

answer: 14

question: who fought the city?

answer: New Haven 20

text: New Haven 20

question: How many firefighters will get promoted?

answer: 14


text:
LONDON, England (CNN) -- The humble mobile phone is driving a new revolution which some experts hope could bring fairer elections and democracy to some African states.

During the 2006 local government elections in Senegal, Radio Sud used reporters and correspondents with cell phones to call in what they saw.

Many African countries have struggled against rigged elections and authoritarian rule since gaining independence last century.

However, African observers say the growth of simple communication technologies like cell phones are assisting many states to progress towards open and fair elections in increasingly democratic systems.

Senegal is one of a number of African countries to hold successful elections by keeping voting and counting in check through independent communication.

Former United Nations Secretary-General Kofi Annan said many African nations now had a "very open society" and the increasing success of elections owed a lot to the existence of mobile phones.

"With communication and cell phones, this is where it is difficult to cheat in elections now. You are announced at the district level and cell phones go wild so by the time you go to the capital, if you have changed the figures, they will know and you will be caught out."

According to experts, cellphones are particularly important for Africa due to a lack of some other technologies.

Visiting African political expert at Indiana University, Sheldon Gellar, said cellphones were much more accessible than the internet in most parts of Africa, and therefore had greater potential to influence transparency.

"Internet provides groups in society with means to communicate, organize and obtain good information which is not controlled by government -- but, only a tiny percentage of African populations have access to internet."

Just this month CNN reported dramatic increases in cell phone usage in African nations.

In the Democratic Republic of Congo, for example, there are just 10,000 fixed telephones but cellphone subscribers have soared to more than a million in the last five years.

Gellar told CNN the key benefit of cell phones was that they allowed independent media, especially radio, to provide accurate coverage of elections and make it more difficult for ruling parties to cheat and get away with it.

"During the 2006 local government elections in Senegal, Radio Sud used reporters and correspondents with cell phones to call in what they saw. I remember hearing one reporter describing how a local party boss was illegally taking a ballot box on his truck from the polling station. This was reported live as it was happening."

Civilians and independent election observers outside the media have also taken advantage of cell phones to monitor elections.

Bob LaGamma, executive director of Council for a Community of Democracies, said the 2007 Nigerian election was another example of technology being used effectively.

LaGamma described a technique of "parallel reporting", whereby independent observers spread news of local vote counts and any irregularities. This technique was also used in the Zimbabwe elections this year, which he said caused Robert Mugabe to delay announcement of election results.

"Parallel reporting was important in Zimbabwe. It kept them from coming straight out and reporting a false result.

"All of this technology is very important and gives a powerful new tool that cuts the ability for cheating," LaGamma said.

Gellar said other computing technology, though more sparse, could also have a positive impact towards building democracies. He told CNN computers could be used to ensure parliament has access to national budget information and spending patterns, and in urban and rural communities they could provide citizens with data concerning the functions of the government and offer people an opportunity to contact their elected representative.

Despite the positive developments brought by cell phones and other communication technology, there have still been problems with numerous elections in recent years.

Leonardo Arriola, Associate Professor at University of California, Berkeley, is wary about the potential of the technologies to make some situations worse.

He said there could be both good and bad aspects to it.

"The more transparency and the more information that can be circulated outside the hands of government is a good thing ... but the other side of that is that a lot of misinformation can get out that way also," Arriola said.

Although there has undoubtedly been positive progress with cell phone technology, most scholars and observers agree that pockets full of mobile handsets will not be enough to build stable democratic states and hold future fair elections.

"It doesn't mean anything unless you have all of the means of verifying the results. If you have a ruling authoritarian regime which is determined to cheat, they will do it," LaGamma said.

Gellar sees the technology as necessary, but not sufficient for progress.

"Africans have been able to organize without technology. Freedom of association -- the right to organize autonomous organizations and function freely -- is more important than access to new technology in fostering democracy.

"That said, new technology can be a powerful tool in improving communications between citizens and governments, between civil society organizations and the public. Informed citizens are essential to good functioning of democracies," he said.

Gellar said a number of other factors needed to progress before a state could move towards a more democratic model of governance.

According to Gellar these changes include: strengthening independent media; growing and ensuring freedom of civil society; decentralizing power, ceding more control to local governments; empowering women; improving judicial systems to ensure independence and power to punish.

Gellar said new technology could help achieve those goals to some extent, as communication was the key to overcoming oppression.

"Authoritarian regimes want to control and monopolize the flow of information. African authoritarian regimes don't have the power and resources to completely control information disseminated through traditional means -- as oral communications are still the main means of disseminating information," Geller explained.

Gellar said the changes being brought about by cell phones and other communication technologies could well play a part in bringing more participatory governments to the continent.

"New technology is not a panacea, but it can speed up processes of democratization and should be encouraged," he concluded.

text: LONDON

text: England

text: CNN

text: The

text: humble

text: mobile

text: phone

text: is

text: driving

text: a

text: new

text: revolution

text: which

text: some

text: experts

text: hope

text: could

text: bring

text: fairer

text: elections

text: and

text: democracy

text: to

text: some

text: African

text: states

text: During

text: the

text: local

text: government

text: elections

text: in

text: Senegal

text: Radio

text: Sud

text: used

text: reporters

text: and

text: correspondents

text: with

text: cell

text: phones

text: to

text: call

text: in

text: what

text: they

text: saw

text: Many

text: African

text: countries

text: have

text: struggled

text: against

text: rigged

text: elections

text: and

text: authoritarian

text: rule

text: since

text: gaining

text: independence

text: last

text: century

text: However

text: African

text: observers

text: say

text: the

text: growth

text: of

text: simple

text: communication

text: technologies

text: like

text: cell

text: phones

text: are

text: assisting

text: many

text: states

text: to

text: progress

text: towards

text: open

text: and

text: fair

text: elections

text: in

text: increasingly

text: democratic

text: systems

text: Senegal

text: is

text: one

text: of

text: a

text: number

text: of

text: African

text: countries

text: to

text: hold

text: successful

text: elections

text: by

text: keeping

text: voting

text: and

text: counting

text: in

text: check

text: through

text: independent

text: communication

text: Former

text: United

text: Nations

text: Secretary

text: General

text: Kofi

text: Annan

text: said

text: many

text: African

text: nations

text: now

text: had

text: a

text: very

text: open

text: society

text: and

text: the

text: increasing

text: success

text: of

text: elections

text: owed

text: a

text: lot

text: to

text: the

text: existence

text: of

text: mobile

text: phones

text: With

text: communication

text: and

text: cell

text: phones

text: this

text: is

text: where

text: it

text: is

text: difficult

text: to

text: cheat

text: in

text: elections

text: now

text: You

text: are

text: announced

text: at

text: the

text: district

text: level

text: and

text: cell

text: phones

text: go

text: wild

text: so

text: by

text: the

text: time

text: you

text: go

text: to

text: the

text: capital

text: if

text: you

text: have

text: changed

text: the

text: figures

text: they

text: will

text: know

text: and

text: you

text: will

text: be

text: caught

text: out

text: According

text: to

text: experts

text: cellphones

text: are

text: particularly

text: important

text: for

text: Africa

text: due

text: to

text: a

text: lack

text: of

text: some

text: other

text: technologies

text: Visiting

text: African

text: political

text: expert

text: at

text: Indiana

text: University

text: Sheldon

text: Gellar

text: said

text: cellphones

text: were

text: much

text: more

text: accessible

text: than

text: the

text: internet

text: in

text: most

text: parts

text: of

text: Africa

text: and

text: therefore

text: had

text: greater

text: potential

text: to

text: influence

text: transparency

text: Internet

text: provides

text: groups

text: in

text: society

text: with

text: means

text: to

text: communicate

text: organize

text: and

text: obtain

text: good

text: information

text: which

text: is

text: not

text: controlled

text: by

text: government

text: but

text: only

text: a

text: tiny

text: percentage

text: of

text: African

text: populations

text: have

text: access

text: to

text: internet

text: Just

text: this

text: month

text: CNN

text: reported

text: dramatic

text: increases

text: in

text: cell

text: phone

text: usage

text: in

text: African

text: nations

text: In

text: the

text: Democratic

text: Republic

text: of

text: Congo

text: for

text: example

text: there

text: are

text: just

text: fixed

text: telephones

text: but

text: cellphone

text: subscribers

text: have

text: soared

text: to

text: more

text: than

text: a

text: million

text: in

text: the

text: last

text: five

text: years

text: Gellar

text: told

text: CNN

text: the

text: key

text: benefit

text: of

text: cell

text: phones

text: was

text: that

text: they

text: allowed

text: independent

text: media

text: especially

text: radio

text: to

text: provide

text: accurate

text: coverage

text: of

text: elections

text: and

text: make

text: it

text: more

text: difficult

text: for

text: ruling

text: parties

text: to

text: cheat

text: and

text: get

text: away

text: with

text: it

text: During

text: the

text: local

text: government

text: elections

text: in

text: Senegal

text: Radio

text: Sud

text: used

text: reporters

text: and

text: correspondents

text: with

text: cell

text: phones

text: to

text: call

text: in

text: what

text: they

text: saw

text: I

text: remember

text: hearing

text: one

text: reporter

text: describing

text: how

text: a

text: local

text: party

text: boss

text: was

text: illegally

text: taking

text: a

text: ballot

text: box

text: on

text: his

text: truck

text: from

text: the

text: polling

text: station

text: This

text: was

text: reported

text: live

text: as

text: it

text: was

text: happening

text: Civilians

text: and

text: independent

text: election

text: observers

text: outside

text: the

text: media

text: have

text: also

text: taken

text: advantage

text: of

text: cell

text: phones

text: to

text: monitor

text: elections

text: Bob

text: LaGamma

text: executive

text: director

text: of

text: Council

text: for

text: a

text: Community

text: of

text: Democracies

text: said

text: the

text: Nigerian

text: election

text: was

text: another

text: example

text: of

text: technology

text: being

text: used

text: effectively

text: LaGamma

text: described

text: a

text: technique

text: of

text: parallel

text: reporting

text: whereby

text: independent

text: observers

text: spread

text: news

text: of

text: local

text: vote

text: counts

text: and

text: any

text: irregularities

text: This

text: technique

text: was

text: also

text: used

text: in

text: the

text: Zimbabwe

text: elections

text: this

text: year

text: which

text: he

text: said

text: caused

text: Robert

text: Mugabe

text: to

text: delay

text: announcement

text: of

text: election

text: results

text: Parallel

text: reporting

text: was

text: important

text: in

text: Zimbabwe

text: It

text: kept

text: them

text: from

text: coming

text: straight

text: out

text: and

text: reporting

text: a

text: false

text: result

text: All

text: of

text: this

text: technology

text: is

text: very

text: important

text: and

text: gives

text: a

text: powerful

text: new

text: tool

text: that

text: cuts

text: the

text: ability

text: for

text: cheating

text: LaGamma

text: said

text: Gellar

text: said

text: other

text: computing

text: technology

text: though

text: more

text: sparse

text: could

text: also

text: have

text: a

text: positive

text: impact

text: towards

text: building

text: democracies

text: He

text: told

text: CNN

text: computers

text: could

text: be

text: used

text: to

text: ensure

text: parliament

text: has

text: access

text: to

text: national

text: budget

text: information

text: and

text: spending

text: patterns

text: and

text: in

text: urban

text: and

text: rural

text: communities

text: they

text: could

text: provide

text: citizens

text: with

text: data

text: concerning

text: the

text: functions

text: of

text: the

text: government

text: and

text: offer

text: people

text: an

text: opportunity

text: to

text: contact

text: their

text: elected

text: representative

text: Despite

text: the

text: positive

text: developments

text: brought

text: by

text: cell

text: phones

text: and

text: other

text: communication

text: technology

text: there

text: have

text: still

text: been

text: problems

text: with

text: numerous

text: elections

text: in

text: recent

text: years

text: Leonardo

text: Arriola

text: Associate

text: Professor

text: at

text: University

text: of

text: California

text: Berkeley

text: is

text: wary

text: about

text: the

text: potential

text: of

text: the

text: technologies

text: to

text: make

text: some

text: situations

text: worse

text: He

text: said

text: there

text: could

text: be

text: both

text: good

text: and

text: bad

text: aspects

text: to

text: it

text: The

text: more

text: transparency

text: and

text: the

text: more

text: information

text: that

text: can

text: be

text: circulated

text: outside

text: the

text: hands

text: of

text: government

text: is

text: a

text: good

text: thing

text: but

text: the

text: other

text: side

text: of

text: that

text: is

text: that

text: a

text: lot

text: of

text: misinformation

text: can

text: get

text: out

text: that

text: way

text: also

text: Arriola

text: said

text: Although

text: there

text: has

text: undoubtedly

text: been

text: positive

text: progress

text: with

text: cell

text: phone

text: technology

text: most

text: scholars

text: and

text: observers

text: agree

text: that

text: pockets

text: full

text: of

text: mobile

text: handsets

text: will

text: not

text: be

text: enough

text: to

text: build

text: stable

text: democratic

text: states

text: and

text: hold

text: future

text: fair

text: elections

text: It

text: does

text: n't

text: mean

text: anything

text: unless

text: you

text: have

text: all

text: of

text: the

text: means

text: of

text: verifying

text: the

text: results

text: If

text: you

text: have

text: a

text: ruling

text: authoritarian

text: regime

text: which

text: is

text: determined

text: to

text: cheat

text: they

text: will

text: do

text: it

text: LaGamma

text: said

text: Gellar

text: sees

text: the

text: technology

text: as

text: necessary

text: but

text: not

text: sufficient

text: for

text: progress

text: Africans

text: have

text: been

text: able

text: to

text: organize

text: without

text: technology

text: Freedom

text: of

text: association

text: the

text: right

text: to

text: organize

text: autonomous

text: organizations

text: and

text: function

text: freely

text: is

text: more

text: important

text: than

text: access

text: to

text: new

text: technology

text: in

text: fostering

text: democracy

text: That

text: said

text: new

text: technology

text: can

text: be

text: a

text: powerful

text: tool

text: in

text: improving

text: communications

text: between

text: citizens

text: and

text: governments

text: between

text: civil

text: society

text: organizations

text: and

text: the

text: public

text: Informed

text: citizens

text: are

text: essential

text: to

text: good

text: functioning

text: of

text: democracies

text: he

text: said

text: Gellar

text: said

text: a

text: number

text: of

text: other

text: factors

text: needed

text: to

text: progress

text: before

text: a

text: state

text: could

text: move

text: towards

text: a

text: more

text: democratic

text: model

text: of

text: governance

text: According

text: to

text: Gellar

text: these

text: changes

text: include

text: strengthening

text: independent

text: media

text: growing

text: and

text: ensuring

text: freedom

text: of

text: civil

text: society

text: decentralizing

text: power

text: ceding

text: more

text: control

text: to

text: local

text: governments

text: empowering

text: women

text: improving

text: judicial

text: systems

text: to

text: ensure

text: independence

text: and

text: power

text: to

text: punish

text: Gellar

text: said

text: new

text: technology

text: could

text: help

text: achieve

text: those

text: goals

text: to

text: some

text: extent

text: as

text: communication

text: was

text: the

text: key

text: to

text: overcoming

text: oppression

text: Authoritarian

text: regimes

text: want

text: to

text: control

text: and

text: monopolize

text: the

text: flow

text: of

text: information

text: African

text: authoritarian

text: regimes

text: do

text: n't

text: have

text: the

text: power

text: and

text: resources

text: to

text: completely

text: control

text: information

text: disseminated

text: through

text: traditional

text: means

text: as

text: oral

text: communications

text: are

text: still

text: the

text: main

text: means

text: of

text: disseminating

text: information

text: Geller

text: explained

text: Gellar

text: said

text: the

text: changes

text: being

text: brought

text: about

text: by

text: cell

text: phones

text: and

text: other

text: communication

text: technologies

text: could

text: well

text: play

text: a

text: part

text: in

text: bringing

text: more

text: participatory

text: governments

text: to

text: the

text: continent

text: New

text: technology

text: is

text: not

text: a

text: panacea

text: but

text: it

text: can

text: speed

text: up

text: processes

text: of

text: democratization

text: and

text: should

text: be

text: encouraged

text: he

text: concluded

question: What model could technology help to push more countries towards?

answer: open and fair elections in increasingly democratic systems.

text: open and fair elections in increasingly democratic systems.

question: What technology can help election processes?

answer: mobile phone

text: mobile phone

question: With what piece of technology are they checking election processes?

answer: mobile phones.

text: mobile phones.

question: What is being helped with check of cell phone.?

answer: elections

text: elections

question: What technologies are not very accessible to Africans?

answer: internet."

text: internet."

question: What can push more countries towards democratic models?

answer: communication technologies like cell phones

text: communication technologies like cell phones

question: Which is more accessible to Africans, Cell phones, the internet or telephones?

answer: cellphones

text: cellphones

question: What did experts say?

answer: cellphones are particularly important for Africa due to a lack of some other technologies.

text: cellphones are particularly important for Africa due to a lack of some other technologies.

question: What device are changing the election process?

answer: cell phones

text: cell phones


text:
LAS VEGAS, Nevada (CNN)  -- Former football great O.J. Simpson, convicted of armed robbery and kidnapping, deserves leniency in sentencing as he is a first-time offender who showed no criminal intent, his attorney says in court papers.

O.J. Simpson should receive a six-year sentence in a 2007 hotel room confrontation, his attorney says.

Attorney Gabriel Grasso argued that Simpson should receive the minimum sentence, six years.

Grasso acknowledged in court papers, "Clearly Simpson was not using good judgment" during a 2007 hotel room confrontation over sports memorabilia.

Simpson could receive a maximum life sentence from Judge Jackie Glass on Friday. A pre-sentencing report recommended an 18-year sentence.

On October 3, a jury convicted Simpson, 61, and co-defendant Clarence "C.J." Stewart of 12 charges, including conspiracy to commit a crime, robbery, assault and kidnapping with a deadly weapon.  Watch Stewart talk about the night they were arrested ÃÂ»

Their convictions stem from a September 13, 2007, fracas at the Palace Station Hotel and Casino in Las Vegas. Prosecutors alleged that Simpson led a group of men who used threats, guns and force to take sports memorabilia from dealers Bruce Fromong and Al Beardsley.

Simpson said he was attempting to recover items that belonged to him.

Four men charged with Simpson cut deals with the prosecution and testified against him. One testified that Simpson asked him to bring a gun to the encounter.

"These were not crimes committed on strangers, but were acts stemming from prior relationships with the individuals in the room at the Palace Station," Grasso wrote in the memorandum.

"There was overwhelming evidence at trial that Simpson's intent was to recover property that was his and only his," the lawyer argued. "The trial testimony showed Simpson's intent was to return anything that did not belong to him. This intention can be heard throughout the recordings of the Palace Station incident."

He added,  "However, there is nothing in the record to show that Simpson evinced a criminal mind or showed the requisite criminal intent." Because of that and other factors, Grasso wrote, Simpson's sentence should fall on the low end of the minimum sentencing range.

In a sentencing brief for Stewart, 54, defense attorney E. Brent Byron said his client also should be sentenced to six years, noting he "did not kill anyone, nor did he bind or gag anyone." He had no weapon and "no witness testified that Mr. Stewart knew that weapons were going to be used," the brief said.

Both sentencing memorandums note that one of the victims, Beardsley, did not even want the case prosecuted.

Attorneys for both Simpson and Stewart have filed motions seeking a new trial.

Simpson's lawyers cite seven reasons why a new trial should be granted in their brief, including that he was denied a fair hearing when two African-Americans were dismissed from the potential jury pool. An all-white jury convicted the men.

text: LAS

text: VEGAS

text: Nevada

text: CNN

text: Former

text: football

text: great

text: O.J.

text: Simpson

text: convicted

text: of

text: armed

text: robbery

text: and

text: kidnapping

text: deserves

text: leniency

text: in

text: sentencing

text: as

text: he

text: is

text: a

text: first

text: time

text: offender

text: who

text: showed

text: no

text: criminal

text: intent

text: his

text: attorney

text: says

text: in

text: court

text: papers

text: O.J.

text: Simpson

text: should

text: receive

text: a

text: six

text: year

text: sentence

text: in

text: a

text: hotel

text: room

text: confrontation

text: his

text: attorney

text: says

text: Attorney

text: Gabriel

text: Grasso

text: argued

text: that

text: Simpson

text: should

text: receive

text: the

text: minimum

text: sentence

text: six

text: years

text: Grasso

text: acknowledged

text: in

text: court

text: papers

text: Clearly

text: Simpson

text: was

text: not

text: using

text: good

text: judgment

text: during

text: a

text: hotel

text: room

text: confrontation

text: over

text: sports

text: memorabilia

text: Simpson

text: could

text: receive

text: a

text: maximum

text: life

text: sentence

text: from

text: Judge

text: Jackie

text: Glass

text: on

text: Friday

text: A

text: pre

text: sentencing

text: report

text: recommended

text: an

text: sentence

text: On

text: October

text: a

text: jury

text: convicted

text: Simpson

text: and

text: co

text: defendant

text: Clarence

text: C.J.

text: Stewart

text: of

text: charges

text: including

text: conspiracy

text: to

text: commit

text: a

text: crime

text: robbery

text: assault

text: and

text: kidnapping

text: with

text: a

text: deadly

text: weapon

text: Watch

text: Stewart

text: talk

text: about

text: the

text: night

text: they

text: were

text: arrested

text: ÃÂ

text: Their

text: convictions

text: stem

text: from

text: a

text: September

text: fracas

text: at

text: the

text: Palace

text: Station

text: Hotel

text: and

text: Casino

text: in

text: Las

text: Vegas

text: Prosecutors

text: alleged

text: that

text: Simpson

text: led

text: a

text: group

text: of

text: men

text: who

text: used

text: threats

text: guns

text: and

text: force

text: to

text: take

text: sports

text: memorabilia

text: from

text: dealers

text: Bruce

text: Fromong

text: and

text: Al

text: Beardsley

text: Simpson

text: said

text: he

text: was

text: attempting

text: to

text: recover

text: items

text: that

text: belonged

text: to

text: him

text: Four

text: men

text: charged

text: with

text: Simpson

text: cut

text: deals

text: with

text: the

text: prosecution

text: and

text: testified

text: against

text: him

text: One

text: testified

text: that

text: Simpson

text: asked

text: him

text: to

text: bring

text: a

text: gun

text: to

text: the

text: encounter

text: These

text: were

text: not

text: crimes

text: committed

text: on

text: strangers

text: but

text: were

text: acts

text: stemming

text: from

text: prior

text: relationships

text: with

text: the

text: individuals

text: in

text: the

text: room

text: at

text: the

text: Palace

text: Station

text: Grasso

text: wrote

text: in

text: the

text: memorandum

text: There

text: was

text: overwhelming

text: evidence

text: at

text: trial

text: that

text: Simpson

text: 's

text: intent

text: was

text: to

text: recover

text: property

text: that

text: was

text: his

text: and

text: only

text: his

text: the

text: lawyer

text: argued

text: The

text: trial

text: testimony

text: showed

text: Simpson

text: 's

text: intent

text: was

text: to

text: return

text: anything

text: that

text: did

text: not

text: belong

text: to

text: him

text: This

text: intention

text: can

text: be

text: heard

text: throughout

text: the

text: recordings

text: of

text: the

text: Palace

text: Station

text: incident

text: He

text: added

text: However

text: there

text: is

text: nothing

text: in

text: the

text: record

text: to

text: show

text: that

text: Simpson

text: evinced

text: a

text: criminal

text: mind

text: or

text: showed

text: the

text: requisite

text: criminal

text: intent

text: Because

text: of

text: that

text: and

text: other

text: factors

text: Grasso

text: wrote

text: Simpson

text: 's

text: sentence

text: should

text: fall

text: on

text: the

text: low

text: end

text: of

text: the

text: minimum

text: sentencing

text: range

text: In

text: a

text: sentencing

text: brief

text: for

text: Stewart

text: defense

text: attorney

text: E.

text: Brent

text: Byron

text: said

text: his

text: client

text: also

text: should

text: be

text: sentenced

text: to

text: six

text: years

text: noting

text: he

text: did

text: not

text: kill

text: anyone

text: nor

text: did

text: he

text: bind

text: or

text: gag

text: anyone

text: He

text: had

text: no

text: weapon

text: and

text: no

text: witness

text: testified

text: that

text: Mr.

text: Stewart

text: knew

text: that

text: weapons

text: were

text: going

text: to

text: be

text: used

text: the

text: brief

text: said

text: Both

text: sentencing

text: memorandums

text: note

text: that

text: one

text: of

text: the

text: victims

text: Beardsley

text: did

text: not

text: even

text: want

text: the

text: case

text: prosecuted

text: Attorneys

text: for

text: both

text: Simpson

text: and

text: Stewart

text: have

text: filed

text: motions

text: seeking

text: a

text: new

text: trial

text: Simpson

text: 's

text: lawyers

text: cite

text: seven

text: reasons

text: why

text: a

text: new

text: trial

text: should

text: be

text: granted

text: in

text: their

text: brief

text: including

text: that

text: he

text: was

text: denied

text: a

text: fair

text: hearing

text: when

text: two

text: African

text: Americans

text: were

text: dismissed

text: from

text: the

text: potential

text: jury

text: pool

text: An

text: all

text: white

text: jury

text: convicted

text: the

text: men

question: What was O.J Simpson convicted of doing?

answer: armed robbery and kidnapping,

text: armed robbery and kidnapping,

question: What is Simpson convicted of?

answer: armed robbery and kidnapping,

text: armed robbery and kidnapping,

question: What does the probation report recommend?

answer: an 18-year sentence.

text: an 18-year sentence.

question: What did the probation report recommend?

answer: an 18-year sentence.

text: an 18-year sentence.

question: What was Simpson convicted of?

answer: armed robbery and kidnapping,

text: armed robbery and kidnapping,

question: When was Simpson sentenced?

answer: 2007

question: What did the defense ask for?

answer: minimum sentence, six years.

text: minimum sentence, six years.

question: Years recommended by probation report?

answer: an 18-year sentence.

text: an 18-year sentence.

question: What was O.J. Simpson convicted of?

answer: armed robbery and kidnapping,

text: armed robbery and kidnapping,


text:
WASHINGTON (CNN)  -- A new national poll suggests most Americans favor an economic stimulus package even if it comes with an $800 billion price tag, although that support doesn't indicate the public wants to see a new era of big government.

Two-thirds of people polled think Present-elect Barack Obama's stimulus package will help the economy.

Fifty-six percent of those questioned in a CNN/Opinion Research Corp. survey released Tuesday said they favor the stimulus package that President-elect Barack Obama is proposing; 42 percent were opposed.

Obama is pushing Congress to pass the plan soon after he's inaugurated on January 20, to help jump-start an economy mired in a deep recession.

The poll also indicates that two-thirds of the public thinks the stimulus package will do just that, with 17 percent saying it will help the economy a lot and another 50 percent feeling that it will help the economy somewhat. Twenty-one percent say the stimulus package won't help the economy very much and 10 percent say it won't help at all.

But Americans seem to be split on whether they'd like more government regulation of business and industry, with 39 percent saying there's too much government regulation and an equal amount saying too little. Twenty percent said the amount of government involvement is just right.  Watch why most Americans back the bailout Â»

"Attitudes toward government have not changed since 2006, when the economy was still in pretty good shape," said CNN Polling Director Keating Holland. "Most still say the government is doing too much that should be left to individuals and businesses, and trust in government is still low."

On the other hand, he said, "with the economy in such poor shape, government action to stimulate the economy seems to get an exemption to the general concerns about big government."

There also appears to be a divide between the parties when it comes to government involvement.

"Six in 10 Democrats want to see the federal government do more," Holland said. "But three-quarters of Republicans would like to see a smaller government. The tiebreaker is independents. A majority of the independents polled say that government is doing too much that should be left to individuals and businesses."

The poll also suggests that a declining number of Americans trust the government to do what's right. iReport.com: What should Obama do first?

Twenty-two percent of those polled said they trust the government to do what's right most of the time. That's down 6 points from when the question was asked two years ago. Sixty-six percent said they trust the government some of the time, and 9 percent said they never trust Washington. On the opposite end of the spectrum, 3 percent said they can always trust the government to do the right thing.

The CNN/Opinion Research Corp. poll was conducted Friday through Sunday, with 1,013 adult Americans questioned by telephone. The survey's sampling error is plus or minus 3 percentage points.

text: WASHINGTON

text: CNN

text: A

text: new

text: national

text: poll

text: suggests

text: most

text: Americans

text: favor

text: an

text: economic

text: stimulus

text: package

text: even

text: if

text: it

text: comes

text: with

text: an

text: billion

text: price

text: tag

text: although

text: that

text: support

text: does

text: n't

text: indicate

text: the

text: public

text: wants

text: to

text: see

text: a

text: new

text: era

text: of

text: big

text: government

text: Two

text: thirds

text: of

text: people

text: polled

text: think

text: Present

text: elect

text: Barack

text: Obama

text: 's

text: stimulus

text: package

text: will

text: help

text: the

text: economy

text: Fifty

text: six

text: percent

text: of

text: those

text: questioned

text: in

text: a

text: CNN

text: Opinion

text: Research

text: Corp.

text: survey

text: released

text: Tuesday

text: said

text: they

text: favor

text: the

text: stimulus

text: package

text: that

text: President

text: elect

text: Barack

text: Obama

text: is

text: proposing

text: percent

text: were

text: opposed

text: Obama

text: is

text: pushing

text: Congress

text: to

text: pass

text: the

text: plan

text: soon

text: after

text: he

text: 's

text: inaugurated

text: on

text: January

text: to

text: help

text: jump

text: start

text: an

text: economy

text: mired

text: in

text: a

text: deep

text: recession

text: The

text: poll

text: also

text: indicates

text: that

text: two

text: thirds

text: of

text: the

text: public

text: thinks

text: the

text: stimulus

text: package

text: will

text: do

text: just

text: that

text: with

text: percent

text: saying

text: it

text: will

text: help

text: the

text: economy

text: a

text: lot

text: and

text: another

text: percent

text: feeling

text: that

text: it

text: will

text: help

text: the

text: economy

text: somewhat

text: Twenty

text: one

text: percent

text: say

text: the

text: stimulus

text: package

text: wo

text: n't

text: help

text: the

text: economy

text: very

text: much

text: and

text: percent

text: say

text: it

text: wo

text: n't

text: help

text: at

text: all

text: But

text: Americans

text: seem

text: to

text: be

text: split

text: on

text: whether

text: they

text: 'd

text: like

text: more

text: government

text: regulation

text: of

text: business

text: and

text: industry

text: with

text: percent

text: saying

text: there

text: 's

text: too

text: much

text: government

text: regulation

text: and

text: an

text: equal

text: amount

text: saying

text: too

text: little

text: Twenty

text: percent

text: said

text: the

text: amount

text: of

text: government

text: involvement

text: is

text: just

text: right

text: Watch

text: why

text: most

text: Americans

text: back

text: the

text: bailout

text: Â

text: Attitudes

text: toward

text: government

text: have

text: not

text: changed

text: since

text: when

text: the

text: economy

text: was

text: still

text: in

text: pretty

text: good

text: shape

text: said

text: CNN

text: Polling

text: Director

text: Keating

text: Holland

text: Most

text: still

text: say

text: the

text: government

text: is

text: doing

text: too

text: much

text: that

text: should

text: be

text: left

text: to

text: individuals

text: and

text: businesses

text: and

text: trust

text: in

text: government

text: is

text: still

text: low

text: On

text: the

text: other

text: hand

text: he

text: said

text: with

text: the

text: economy

text: in

text: such

text: poor

text: shape

text: government

text: action

text: to

text: stimulate

text: the

text: economy

text: seems

text: to

text: get

text: an

text: exemption

text: to

text: the

text: general

text: concerns

text: about

text: big

text: government

text: There

text: also

text: appears

text: to

text: be

text: a

text: divide

text: between

text: the

text: parties

text: when

text: it

text: comes

text: to

text: government

text: involvement

text: Six

text: in

text: Democrats

text: want

text: to

text: see

text: the

text: federal

text: government

text: do

text: more

text: Holland

text: said

text: But

text: three

text: quarters

text: of

text: Republicans

text: would

text: like

text: to

text: see

text: a

text: smaller

text: government

text: The

text: tiebreaker

text: is

text: independents

text: A

text: majority

text: of

text: the

text: independents

text: polled

text: say

text: that

text: government

text: is

text: doing

text: too

text: much

text: that

text: should

text: be

text: left

text: to

text: individuals

text: and

text: businesses

text: The

text: poll

text: also

text: suggests

text: that

text: a

text: declining

text: number

text: of

text: Americans

text: trust

text: the

text: government

text: to

text: do

text: what

text: 's

text: right

text: iReport.com

text: What

text: should

text: Obama

text: do

text: first

text: Twenty

text: two

text: percent

text: of

text: those

text: polled

text: said

text: they

text: trust

text: the

text: government

text: to

text: do

text: what

text: 's

text: right

text: most

text: of

text: the

text: time

text: That

text: 's

text: down

text: points

text: from

text: when

text: the

text: question

text: was

text: asked

text: two

text: years

text: ago

text: Sixty

text: six

text: percent

text: said

text: they

text: trust

text: the

text: government

text: some

text: of

text: the

text: time

text: and

text: percent

text: said

text: they

text: never

text: trust

text: Washington

text: On

text: the

text: opposite

text: end

text: of

text: the

text: spectrum

text: percent

text: said

text: they

text: can

text: always

text: trust

text: the

text: government

text: to

text: do

text: the

text: right

text: thing

text: The

text: CNN

text: Opinion

text: Research

text: Corp.

text: poll

text: was

text: conducted

text: Friday

text: through

text: Sunday

text: with

text: adult

text: Americans

text: questioned

text: by

text: telephone

text: The

text: survey

text: 's

text: sampling

text: error

text: is

text: plus

text: or

text: minus

text: percentage

text: points

question: How many people favor the stimulus package?

answer: most Americans

text: most Americans

question: What percentage of people favor a stimulus plan?

answer: Fifty-six

text: Fifty-six

question: What company helped run this poll?

answer: CNN/Opinion Research Corp.

text: CNN/Opinion Research Corp.

question: Who thinks the package will work?

answer: Two-thirds of people polled

text: Two-thirds of people polled

question: Who wants to help the woes?

answer: Barack Obama

text: Barack Obama

question: Which political party thinks the government should be more active in solving this issue?

answer: Democrats

text: Democrats

question: What percent of people favor the stimulus plan?

answer: Fifty-six

text: Fifty-six

question: Two-thirds of those polled thought what?

answer: Barack Obama's stimulus package will help the economy.

text: Barack Obama's stimulus package will help the economy.