Difference between revisions of "Seminar 16: Uses and abuses of AI in election campaigns"

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* Motherboard article (Jan 29 2017): [https://motherboard.vice.com/en_us/article/how-our-likes-helped-trump-win The Data That Turned the World Upside Down]
 
* Motherboard article (Jan 29 2017): [https://motherboard.vice.com/en_us/article/how-our-likes-helped-trump-win The Data That Turned the World Upside Down]
  
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* Alexander Nix' talk at the Concordia Summit (Sep 19-20 2016): [https://www.youtube.com/watch?v=n8Dd5aVXLCc The power of big data and psychographics]
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* Scout article (undated): [https://www.scout.ai/story/the-rise-of-the-weaponized-ai-propaganda-machine The Rise of the Weaponized AI Propaganda Machine]
 
* Scout article (undated): [https://www.scout.ai/story/the-rise-of-the-weaponized-ai-propaganda-machine The Rise of the Weaponized AI Propaganda Machine]
  
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== Useful research groups ==
 
== Useful research groups ==
  
* The multi-university [http://politicalbots.org/ Project on Algorithms, Computational Propaganda, and Digital Politics] (University of Washington, Central European University, University of Oxford]
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* The multi-university [http://politicalbots.org/ Project on Algorithms, Computational Propaganda, and Digital Politics] (University of Washington, Central European University, University of Oxford)
  
 
* The related [http://philhoward.org/projects/computational/ Computational Propaganda Project] at Oxford University
 
* The related [http://philhoward.org/projects/computational/ Computational Propaganda Project] at Oxford University

Latest revision as of 14:28, 10 March 2017

Michal Kosinski's model predicting personality from Facebook Likes

  • An online demo (includes prediction from free text, as well as from a Facebook page)

Some relevant articles

Useful research groups