Topic 18 | OffensEval 2020

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Topic Description

Offensive language is pervasive in social media. Individuals frequently take advantage of the perceived anonymity of computer-mediated communication, using this to engage in behavior that many of them would not consider in real life. Online communities, social media platforms, and technology companies have been investing heavily in ways to cope with offensive language to prevent abusive behavior in social media. One of the most effective strategies for tackling this problem is to use computational methods to identify offense, aggression, and hate speech in user-generated content (e.g. posts, comments, microblogs, etc.). There are three substasks to choose from 1) detecting offensive language, 2) categorizing offense types, and 3) identifying the target of the offense

Competition website:

• https://sites.google.com/site/offensevalsharedtask/

Entry points:

• SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
  • Zampieri, M., Malmasi, S., Nakov, P., Rosenthal, S., Farra, N. and Kumar, R. (2019)
  • In Proceedings of the 13th International Workshop on Semantic Evaluation. pp. 75-86
• Predicting the Type and Target of Offensive Posts in Social Media
  • Zampieri, M., Malmasi, S., Nakov, P., Rosenthal, S., Farra, N. and Kumar, R. (2019)
  • In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). pp. 1415-1420

Points of interest

• ...

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Sources

1. COLING 2020 - Conference on Computational Linguistics
2. SemEval-2019 - International Workshop on Semantic Evaluation
   • Task: OffensEval
     • references:
       • Automated Hate Speech Detection and the Problem of Offensive Language
         • 4 pages
       • Benchmarking Aggression Identification in Social Media
         • 11 pages
       • Challenges in Discriminating Profanity from Hate Speech
         • 16 pages
       • Understanding Abuse: A Typology of Abusive Language Detection Subtasks
         • 7 pages
3. NAACL 2019 - 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics
4. Proceedings of the 13th international Workshop on Semantic Evaluation
5. POSSIBLY GOLD: Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018)
6. GermEval- Proceedings of the GermEval 2018 Workshop
   • Offensive Language Detection with Neural Networks
7. Detecting Offensive Language in Tweets Using Deep Learning

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