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Google Bindi: Hateful Signals and where to find them?

November 17, 2023

Google Bindi: Hateful Signals and where to find them?

Google Bindi Summit 2023


November 17, 2023

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  1. Disclaimer Subsequent content may contain extreme language (verbatim from social

    media), which does not reflect the opinions of myself or my collaborators. Reader’s discretion is advised.
  2. Workflow for Analysing and Mitigating Online Hate Speech [1]: Tanmoy

    and Sarah, Nipping in the bud: detection, diffusion and mitigation of hate speech on social media, ACM SIGWEB Winter, Invited Publication Fig 1: The various input signals (red), models (green) and user groups (blue) involved in analysing hate speech. [1]
  3. Why Context is important for Hate Speech? • No clear

    definition of hate speech. • Subjective annotation from the point of view of NLP modeling. • No standard list of vulnerable groups. Endogenous Signals Exogenous Signals
  4. Exogenous Signals: News articles & Topical Affinity Fig 1: Hatefulness

    of different users towards different hashtags/topics in RETINA [1] Fig 2: Exogenous attention Model RETINA [1] XN: News Headline XT: Incoming Tweet [1]: Masud et al., Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter, ICDE 2021
  5. Fig 1: Motivation for Auxiliary Data Signals in Hate Speech

    Detection [1] Endogenous Signals: User’s interaction on platform [1]: Kulkarni et al., Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment, KDD 2023