Interesting People mailing list archives

Facebook may stop the data leaks, but it's too late: Cambridge Analytica's models live on


From: "Dave Farber" <farber () gmail com>
Date: Fri, 13 Apr 2018 08:01:56 -0400




Begin forwarded message:

From: Dewayne Hendricks <dewayne () warpspeed com>
Date: April 13, 2018 at 7:57:36 AM EDT
To: Multiple recipients of Dewayne-Net <dewayne-net () warpspeed com>
Subject: [Dewayne-Net] Facebook may stop the data leaks, but it's too late: Cambridge Analytica's models live on
Reply-To: dewayne-net () warpspeed com

[Note:  This item comes from friend Steve Schear.  DLH]

Facebook may stop the data leaks, but it’s too late: Cambridge Analytica’s models live on
Long after the training data has been deleted, the models can continue being improved and used to influence future 
voters.
By Jacob Metcalf
Apr 9 2018
<https://www.technologyreview.com/s/610801/facebook-may-stop-the-data-leaks-but-its-too-late-cambridge-analyticas-models-live-on/>

Today Facebook is releasing a tool that will allow its users to see if their Facebook profile was harvested by 
Cambridge Analytica. Facebook says 87 million people were affected, 71 million of them in the US. It makes for a 
compelling story about egregious personal privacy harms committed in pursuit of electoral victories. In response, 
Facebook has clamped down on access to its users’ data, and in his testimony to Congress this week, CEO Mark 
Zuckerberg promises to make political advertising on the platform more transparent.

But focusing solely on the purloined data is a mistake. Much more important are the behavioral models Cambridge 
Analytica built from the data. Even though the company claims to have deleted the data sets in 2015 in response to 
Facebook’s demands, those models live on, and can still be used to target highly specific groups of voters with 
messages designed to leverage their psychological traits. Although the stolen data sets represent a massive 
collection of individual privacy harms, the models are a collective harm, and far more pernicious.

In what follows, I argue that Cambridge Analytica and its parent and sister companies were among the first to figure 
out how to turn behavioral algorithms into a portable worldview—a financially valuable, politically potent model of 
how humans behave and how society should be structured. To understand Cambridge Analytica, the anti-democratic vision 
it represents, and the potentially illegal behavior that its techniques may make possible, follow the models.

(In the interest of full disclosure, I have worked as a consultant for Facebook on topics not directly related to 
this story.)

The data

First, let’s discuss that data. As has been widely reported, the original data set was collected by Global Science 
Research (GSR), a small firm belonging to University of Cambridge quantitative psychologist Aleksandr Kogan, for SCL, 
the parent company of Cambridge Analytica. Kogan used a personality quiz named “thisismydigitallife,” hosted on 
Facebook, to obtain access to the Facebook profiles of the 270,000 people who took the quiz. That allowed him to use 
Facebook’s API—which was then much more permissive than it is today—to scrape the data of their Facebook friends, 
allegedly a total of 87 million. (That’s much more than the 30 million profiles that SCL says it contracted for.) 
Cambridge Analytica then combined the Facebook data with other data sets to build robust, integrated profiles of 30 
million US voters.

In what remains a murky and ethically dubious exchange, it appears that Kogan claimed to Facebook that he was 
collecting this data for only academic purposes, despite the clear commercial intent of his contract with SCL (page 
67) and discussion of commercial purposes with his home university. Reselling this data in the fashion GSR was 
contracted for was clearly a violation of Facebook’s terms of service. Facebook overlooked red flags about the amount 
of data being collected because of Kogan’s academic credentials, and now claims that he deceived people at Facebook 
about his intents.

However, though Cambridge Analytica built profiles of 30 million US voters, its central goal wasn’t to craft ads 
targeted at those people. Rather, the models it built from that much smaller cohort of 270,000 quiz-takers would 
allow an advertiser to create proxy profiles of much larger collections of similar people on Facebook. This 
capability is what enabled the company to craft ads precisely targeted at small groups of voters based on personality 
traits. And it continues to exist even after the original data is deleted.

The method

Kogan’s technique—emulating an innovation by psychology researchers at the Cambridge Psychometrics Centre, 
particularly Michal Kosinski and David Stillwell—was to use a scientifically validated psychology quiz inside 
Facebook’s API system. By taking the quiz, users also granted him access to a gold mine of behavioral 
data—essentially the record of their “likes” on Facebook.

This allowed Kogan to correlate that relatively inexpensive behavioral record with an otherwise expensive 
psychological measurement, all of it conveniently formatted by Facebook. Although this method was fairly new when 
Cambridge Analytica seized upon it in 2014, recent research has shown commercial advertising built with the Cambridge 
researchers’ psychological techniques to be significantly more effective than non-targeted ads.

The value of this data is predicated on the emerging field of digital psychometrics, the science of quantitative 
measurement of psychological and personality characteristics. All people are presumed to fit somewhere on a matrix of 
“high” and “low” rankings of certain traits—most commonly the “OCEAN” or “Big 5” traits: openness to experience, 
conscientiousness, extraversion, agreeableness, and neuroticism.

[snip]

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