She says that even
though voter data is covered under FOIL, there are limits.
Not exact matches
Some news accounts indicate that his campaign stopped using the firm's
data after the South Carolina primary in late February 2016,
though federal campaign records show more than $ 670,000 in payments to the firm for «media /
voter modeling» or «
voter ID targeting / web service» in March and June, plus $ 218,000 for «media» and «digital service / web service.»
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.
A
voter - profiling company was able to harvest
data of 50 million Facebook profiles even
though only about 270,000 users agreed to hand over their information.
But we don't know where the bot got its names and addresses —
though we suspect it may be from public
voter registration records or an older
data breach.
Though the users were assured that this information was gathered for academic research, but the
data was leveraged by Cambridge Analytica to target and influence
voters with specific personality types.
With some effort,
though, you should be able to get your hands on this really valuable
data, which will tell you the party affiliation of each
voter and should give you a sense of their voting history over the last few years.
Though some current clients say they believe Cambridge Analytica's core
data product is of a high caliber and can be applied to ad targeting to produce better results than other types of
voter data models, others who have met with or worked with the firm say they were not impressed with Cambridge's
data product, and called it too expensive.
Some news accounts indicate that his campaign stopped using the firm's
data after the South Carolina primary in late February 2016,
though federal campaign records show more than $ 670,000 in payments to the firm for «media /
voter modeling» or «
voter ID targeting / web service» in March and June, plus $ 218,000 for «media» and «digital service / web service.»
Indeed, the Obama campaign was heralded for its
data savviness in connecting with potential
voters and also used Facebook profile information to target ads (
though, to be clear, the Obama campaign didn't violate Facebook's terms, as Cambridge Analytica did).
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.
That
data may then have been used for «psychographic» profile and to target US
voters more precisely with political ads,
though this is not clear.
It isn't clear whether any of this Facebook
data was used to target
voters during the UK's Brexit vote in 2016,
though this is partly what Collins will try to establish during the inquiry.
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.
A
voter - profiling company was able to harvest
data of 50 million Facebook profiles even
though only about 270,000 users agreed to hand over their information.