Papers with studying

1 papers
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis (2020.aacl-main)

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Challenge: Hate speech and toxic comments are a common concern of social media platform users . identifying toxic comments is important for studying and preventing the proliferation of toxicity in social media.
Approach: They propose to use Brazilian Portuguese to analyze toxic or non-toxic tweets . they propose to analyze tweets as toxic or in different types of toxicity .
Outcome: The proposed model achieves 76% macro-F1 score using monolingual data in the binary case.

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