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Grounding Toxicity in Real-World Events Across Languages

  • Wondimagegnhue Tsegaye Tufa,
  • Ilia Markov,
  • Piek Vossen

摘要

Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or conflicts, can initiate and escalate toxic behavior online. Our study investigates how real-world events influence the origin and spread of toxicity in online discussions across various languages and communities. We gathered Reddit data comprising 4.5 million comments from 31 thousand posts in six different languages (Dutch, English, German, Arabic, Turkish, and Spanish). We target fifteen major social and political world events that occurred between 2020 and 2023. We observed significant variations in toxicity, negative sentiment, and emotion expressions across different events and language communities, showing that toxicity is a complex phenomenon in which many different factors interact and still need to be investigated. We released the data and code for further research ( https://github.com/cltl/grounding-toxicity ).