Current Reading List (of papers) on Online Harassment and Machine Learning

  1. Equality of Opportunity in Supervised Learning
  2. Supervised Machine Learning: A Review of Classification Techniques
  3. Slash(dot) and Burn: Distributed Moderation in a Large Online Conversation Space
  4. Changing Names in Online News Comments at the New York Times
  5. Defining Hate Speech
  6. Ex Machina: Personal Attacks Seen at Scale
  7. The AI Now Report: The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term
  8. Understanding Harmful Speech Online
  9. User-Generated Censorship: Manipulating The Maps Of Social Media
  10. A Longitudinal Measurement Study of 4chan’s Politically Incorrect Forum and Its Effect on the Web
  11. Detecting Offensive Tweets via Topical Feature Discovery over a Large Scale Twitter Corpus
  12. Semantics derived automatically from language corpora necessarily contain human biases
  13. A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous Systems
  14. Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
  15. From Internet Farming to Weapons of the Geek
  16. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
  17. Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter
  18. A Lexicon-based Approach for Hate Speech Detection
  19. Spider and the Flies : Focused Crawling on Tumblr to Detect Hate Promoting Communities
  20. Analyzing the Targets of Hate in Online Social Media
  21. Automated Hate Speech Detection and the Problem of Offensive Language

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Machine Learning Designer and Researcher | Artist | Instigator| online harassment researcher, fellow digital Harvard Kennedy School

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caroline sinders

caroline sinders

Machine Learning Designer and Researcher | Artist | Instigator| online harassment researcher, fellow digital Harvard Kennedy School

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