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Frontiers of Computational Journalism week 10 - Truth and Trust

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Taught at Columbia Journalism School, Fall 2018
Full syllabus and lecture videos at http://www.compjournalism.com/?p=218

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Frontiers of Computational Journalism week 10 - Truth and Trust

  1. 1. Frontiers of Computational Journalism Columbia Journalism School Week 10: Truth and Trust November 28, 2018
  2. 2. This class • Credibility Indicators • Platform Response • Automated Fact Checking • Measuring Information Diffusion
  3. 3. Credibility Indicators
  4. 4. credibilitycoalition.org
  5. 5. credibilitycoalition.org
  6. 6. A Structured Response to Misinformation: Defining and Annotating Credibility Indicators in News Articles, Zhang et. al
  7. 7. https://schema.org/ClaimReview
  8. 8. Platform Responses
  9. 9. Fact Check now available in Google Search and News around the world, Google Blog April 2017
  10. 10. Designing Against Misinformation, Smith, Jackson, Raj, Facebook
  11. 11. Information Operations and Facebook, Weedon, Nuland and Stamos
  12. 12. Automated Fact Checking
  13. 13. Automated Pop Up Fact Checking : Challenges & Progress, Adair et al.
  14. 14. Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster, Hassan et al.
  15. 15. Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster, Hassan et al.
  16. 16. The State of Automated Fact Checking, Babakar and Moy, FullFact, 2016
  17. 17. FullFact prototype automated statistical claim checker
  18. 18. Given a sentence T does it “entail” a hypotheses H? In other words, would a human reading T believe that H is true? Active area of NLP research. For fact checking: • Matching existing checks: does the claim entail the claim in the fact check? • Finding false statements: Is there evidence entails the claim or its negation? Claim checking: entailment
  19. 19. Excitement Open Platform architecture diagram
  20. 20. The BIUTEE Research Platform for Transformation-based Textual Entailment Recognition Stern and Dagan
  21. 21. A Study of Machine Learning Algorithms for Recognizing Textual Entailment, Julio Castillo
  22. 22. Improving Language Understanding by Generative Pre-Training , Open AI
  23. 23. Measuring Information Diffusion
  24. 24. http://snap.stanford.edu/nifty/
  25. 25. Meme-tracking and the Dynamics of the News Cycle Leskovec, Backstrom, Kleinberg 2009
  26. 26. Breaking Bin Laden: Visualizing The Power Of A Single Tweet, Socialflow
  27. 27. KONY2012: See How Invisible Networks Helped a Campaign Capture the World’s Attention, Gilad Lotan
  28. 28. Predicting Pageviews on the New York Times Website, Brian Abelson
  29. 29. This Analysis Shows How Viral Fake Election News Stories Outperformed Real News On Facebook, Craig Silverman, Buzzfeed
  30. 30. The Spread of True and False News Online, Vosoughi, Roy, Aral
  31. 31. The Spread of True and False News Online, Vosoughi, Roy, Aral
  32. 32. The Spread of True and False News Online, Vosoughi, Roy, Aral

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