Sentences with phrase «target voters through»

The Trump campaign paid Cambridge Analytica more than $ 6 million to help it target voters through ads on Facebook.

Not exact matches

Masses of data about each voter's political tendencies - gathered through public sources and through campaign contact - allowed Obama for America (OFA) to target voters more precisely than ever before.

The agencies said in a 2017 report that Russia engaged in a targeted effort to influence US voters through propaganda and other means, in order to swing the presidential election in Trump's favor.

Denise Feriozzi, deputy executive director for Emily's List, said that millennial women are a «hugely powerful group of voters,» and that the ad campaigns are specifically targeted toward building long - term support through brands and outlets that they identify with.

Through utilizing their vast troves of existing data on individual voters, constructing highly advanced data models, and prioritizing voters by their likelihood to vote and feelings of favorability towards each candidate, Cambridge Analytica created a unique «principal audience» of voters to target.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

In a later section, on demographic distribution analysis, the contract mentions the possibility for additional «targeted data collection procedures through multiple platforms» to be used — even including «brief phone scripts with single - trait questions» — in order to correct any skews that might be found once the Facebook data is matched with voter databases in each state, (and assuming any «data gaps» could not be «filled in from targeted online samples», as it also puts it).

Though of course, even for some local races, ethnic niche sites (for instance) might well be perfect targets — it all depends on which voters those campaigns need to reach and the relative costs of reaching them through different means.

Hi folks, my latest Campaigns & Elections article is up, and it looks at some critiques of the new trend toward using online ad networks to target individual voters through online «cookies.»

But in competitive districts the new targeting scheme makes it possible for campaign assemblages to leverage their considerable resources to actually expand the electorate in significant ways, both in terms of persuasion efforts and get - out - the - vote efforts — and when the stakes are high enough, even through voter registration efforts.

The 74 - year - old senator's success, including his upset victory in the Michigan primary last week, has been fueled by his appeal to younger voters, who so far have resisted Clinton's efforts to reach out to them through targeted TV ads and an increased focus on issues such as student debt.

Online advertising (if targeted correctly) would let them hit the right voters with the right messages through cost - effective channels, for instance, and it would also generate data (click rates, conversion rates, etc.) that would help the groups evaluate how well their messaging works with different demographics.

Both legislators were targeted for recall after passing gun control legislation through means that circumvented any possible voter referendum.

I'm just back from traveling through Texas and Louisiana, and it's always great to come home to an article as full of fun as this one: New Scientist reports from an e-crime summit in Pittsburg that in the coming years, «voters will increasingly be targeted by internet - based dirty tricks campaigns, and that the perpetrators will find it easier to cover their tracks.»

If supporters allowed it, the campaign could look through their friends to find priority voters already targeted for outreach, and then ask the supporter to reach them with messages designed to appeal.

I'm just back from traveling through Texas and Louisiana, and it's always great to come home to an article as full of fun as this one: New Scientist reports from an e-crime summit in Pittsburg that in the coming years, «voters will increasingly be targeted by internet - based...

The product matches supporters» Facebook friends to the voter file, then walks supporters through strategically targeted interactions with their friends.

In addition to the forum, various progressive groups are discussing creating a #NoTrumpDemocrats campaign that would target the IDC through mass texting and phone call programs to Democratic voters.

Why, after British journalists exposed in 2015 that the presidential campaign of Sen. Ted Cruz targeted voters online using the resulting 40 million - plus psychological profiles — acquired by the firm Cambridge Analytica, backed by megadonor Robert Mercer — Facebook did not follow through on a pledge to ensure the data destroyed.

Beginning in August, he said, the UFT will be targeting voters in Pennsylvania, Ohio and Florida through phone - banking and sending volunteers to those battleground states to help get out the vote.

«The company has repeatedly touted its ability to influence voters through «psychographic» targeting and has claimed it was the fundamental reason that Donald Trump won the 2016 election.

Less clear is their power as a tool for targeted persuasion; Cambridge Analytica has claimed that OCEAN scores can be used to drive voter and consumer behavior through «microtargeting,» meaning narrowly tailored messages.

That reportedly included «suck [ing] out the entire social graph» — an individual's network of friends on Facebook — in a bid to target more and more potential voters through friends» friends on social media.

The firm believed those profiles were better predictors of how voters could be swayed through targeted ads than traditional data on party registration and voting patterns.

Then they used this data to help the Trump and Brexit campaigns psychologically manipulate voters through targeted ads.

Though Facebook closed the door on developers being able to access friends» data when they download apps or quizzes on Facebook several years ago, the company didn't shut out mobile app developers from having access to Facebook users» lists of friends, which is what Clinton's campaign did through an app her voter - targeting team made for supporters in 2016.

For example, pollsters have long used segmentation to target particular groups of voters, such as through categorising audiences by gender, age, income, education and family size.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

In a later section, on demographic distribution analysis, the contract mentions the possibility for additional «targeted data collection procedures through multiple platforms» to be used — even including «brief phone scripts with single - trait questions» — in order to correct any skews that might be found once the Facebook data is matched with voter databases in each state, (and assuming any «data gaps» could not be «filled in from targeted online samples», as it also puts it).

According to information posted on CA's website, its client won a landslide victory in the elections, achieving over 90 percent of total seats targeted by CA through in - depth electoral analysis and targeting swing voters.

If CA was able to obtain information on voters through Facebook, they would know where to specifically target propaganda to influence elections — just as Russia's Internet Research Agency did in 2016.