Papers with moderation process

2 papers
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages (2025.naacl-long)

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Challenge: Hate speech and abusive language are global phenomena that need sociocultural background knowledge to be understood, identified, and moderated.
Approach: They propose to use a multilingual dataset to collect hate speech and abusive language in 15 African languages to help improve model performance.
Outcome: The proposed datasets are based on tweets annotated by native speakers familiar with the regional culture and show that they perform well in low-resource settings.
WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection (2020.lrec-1)

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Challenge: Existing methods for moderation of abusive content are limited by the lack of large corpora of conversations.
Approach: They propose a framework with comment-level abuse annotations based on the Wikipedia Comment corpus . they propose 'context-based' approaches to detect abusive content based upon conversational context .
Outcome: The proposed framework can be used to improve the moderation process of abusive content on the Internet.

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