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Title: Deep-Dark-Data-Driven Politics
Author: Manoush Zomorodi, Matt Oczkowski, Michal Kosinski, Nicholas Confessore
Format: Original Recording
Length: 26 mins
Language: English
Release date: 03-29-17
Publisher: Note to Self, WNYC Studios
Genres: Radio & TV, News, Business, & Culture
Summary:
Data mining is nothing new in presidential campaigns. But in 2016, the Trump team took voter research to a new level. They hired consultants called Cambridge Analytica, which says it has thousands of data points on every American. They also claim they can use that data to create personality profiles. Assessments of each of our hopes, fears, and desires and target us accordingly.
This is the science of psychometrics. And, as the story went, Cambridge Analyticas dark digital arts helped Trump win, with ads designed to ring every readers individual bell.
Or, did they? Over the past few weeks, reporters and data experts started asking questions. Where did this data come from? Could the Trump campaign really execute a micro-targeted social media strategy? Did they have a secret sauce? Or was it just more ketchup?
This week, psychometrics and the future of campaign data-mining. With Matt Oczkowski of Cambridge Analytica, psychometrics pioneer Michal Kosinski, and Nicholas Confessore of The New York Times.
Contact: [email protected]