Grounding Toxicity in Real-World Events across Languages
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Abstract (arXiv)
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 regions. 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 observe 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 will release the data for further research along with our code.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 27 references that are in the map. First posted on arXiv 22 May 2024.
Builds on
11 of 27 references.
References · 11
- 2023GPT-4 Technical Reportcited by 18,396
- 2020HateXplain: A Benchmark Dataset for Explainable Hate Speech Detectioncited by 407
- 2013Crowdsourcing a Word-Emotion Association Lexiconcited by 196
- 2022A New Generation of Perspective API: Efficient Multilingual Character-level Transformerscited by 185
- 2020Directions in Abusive Language Training Data: Garbage In, Garbage Outcited by 140
- 2018Community Interaction and Conflict on the Webcited by 74
- 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
- 2018Challenges for Toxic Comment Classification: An In-Depth Error Analysiscited by 56
- 2017Measuring #GamerGate: A Tale of Hate, Sexism, and Bullyingcited by 7
- 2021Contextual-Lexicon Approach for Abusive Language Detectioncited by 7
- 2023Cross-Domain Toxic Spans Detectioncited by 4
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Citing papers per year: 2026: 1.
1 paper.
- 2026ToxiREX: A Dataset on Toxic REasoning in ConteXtcited by 0
- 2026ToxiREX: A Dataset on Toxic REasoning in ConteXt26 Jun 2026