Abstract

Since the proliferation of social media usage, hate speech has become a major crisis. On the one hand, hateful content creates an unsafe environment for certain members of our society. On the other hand, in-person moderation of hate speech causes distress to content moderators. Additionally, it is not just the presence of hate speech in isolation but its ability to dissipate quickly, where early detection and intervention can be most effective. However, for online platforms to become genuinely safe and democratic, it is equally important to understand what causes the generation of hate speech in the first place. Can psycho-linguistic analysis of users guide us better? This multifaceted nature of hate speech has already piqued the interest of the data mining and machine learning communities. Through this tutorial, we will provide a holistic view of what the research community has explored so far, the existing success and limitations of these approaches, and what the future holds for combating online hate speech.

Tutorial Outline

  1. Slot-I: (65 mins)
    • Introduction: 20 mins (Dr. Tanmoy)
    • Hate Speech Detection: 30 mins (Dr. Manish)
    • Questions: (15 mins)
  2. Slot-II: (55 mins)
    • Hate Speech Diffusion: 40 mins (Sarah)
    • Questions: (15 mins)
  3. Break: (5 mins)
  4. Slot III: (65 mins)
    • Psychological Analysis of Hate Spreaders: 25 mins (Dr. Amitava)
    • Intervention measures for HS: 25 mins (Sarah)
    • Questions: (15 mins)
  5. Slot IV: (60 mins)
    • Overview of Bias in HS: 25 mins (Pinkesh)
    • Current Developments: 20 mins (Sarah)
    • Future Scope & Concluding Remarks: 5 mins (Dr. Tanmoy)
    • Questions: (10 mins)

Presenters

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Sarah Masud

Email: sarahm [at] iiitd.ac.in

Homepage: https://sara-02.github.io

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Pinkesh Badjatiya

Email: pbadjati [at] adobe.com

Homepage: https://pinkeshbadjatiya.github.io/

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Dr. Amitava Das

Email: amitava.das2 [at] wipro.com

Homepage: http://www.amitavadas.com

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Dr. Manish gupta

Email: gmanish [at] microsoft.com

Homepage: http://research.microsoft.com/en-us/people/gmanish/

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Dr. Vasudeva Varma

Email: vv [at] iiit.ac.in

Homepage: https://faculty.iiit.ac.in/~vv

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Dr. Tanmoy Chakraborty

Email: tanmoy [at] iiitd.ac.in

Homepage: http://faculty.iiitd.ac.in/~tanmoy

Lab Page: http://lcs2.iiitd.edu.in/

Tutorial Material

Click here to view the tutorial PDF

Literature Material

  1. Anti-Defamation League
  2. Hate is the New Infodemic A Topic-aware Modeling of Hate Speech Diffusion on Twitter
  3. Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter
  4. A Unified Deep Learning Architecture for Abuse Detection
  5. Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
  6. Characterizing and Detecting Hateful Users on Twitter
  7. Spread of hate speech in online social media
  8. Examining Untempered Social Media Analyzing Cascades of Polarized Conversations (Gab)
  9. Measuring #GamerGate A Tale of Hate, Sexism, and Bullying on Twitter
  10. Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter
  11. Generating Counter Narratives against Online Hate Speech Data and Strategies
  12. Analyzing the hate and counter speech accounts on Twitter
  13. CONAN - COunter NArratives through Nichesourcing a Multilingual Dataset of Responses to Fight Online Hate Speech
  14. Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
  15. Predicting the Type and Target of Offensive Posts in Social Media
  16. Using Transfer-based Language Models to Detect Hateful and Offensive Language Online
  17. Cross-lingual Zero- and Few-shot Hate Speech Detection utilising frozen Transformer Language Models and AXEL
  18. HateBERT Retraining BERT for Abusive Language Detection in English
  19. Hate Speech Detection via GTP-3 Prompts
  20. Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Contact

Email sarahm [at] iiitd.ac.in for any query about the tutorial.