Sentences with phrase «psychological profiling technology»

It was a Palantir employee in London, working closely with the data scientists building Cambridge's psychological profiling technology, who suggested the scientists create their own app — a mobile - phone - based personality quiz — to gain access to Facebook users» friend networks, according to documents obtained by The New York Times.

The NYT reports it has seen documents showing that a London - based employee of the big data firm — named as Alfredas Chmieliauskas — worked with the CA data scientists who were building its psychological profiling technology.

It was a Palantir employee in London, working closely with the data scientists building Cambridge's psychological profiling technology, who suggested the scientists create their own app — a mobile - phone - based personality quiz — to gain access to Facebook users» friend networks, according to documents obtained by The New York Times.

The NYT reports it has seen documents showing that a London - based employee of the big data firm — named as Alfredas Chmieliauskas — worked with the CA data scientists who were building its psychological profiling technology.

It was a Palantir employee in London, working closely with the data scientists building Cambridge's psychological profiling technology, who suggested the scientists create their own app, NYT reports.

Not exact matches

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.

C&C intended to use the OpenMind thought - reading technology to create complete psychological profiles of people, then use that data to creating marketing campaigns and advertising that would permanently change the way people perceived reality.

Parscale declined to discuss the company's work on psychological profiling because he has not «opened the hood» on its technology, he said.

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.