Papers with automatic hate speech

1 papers
Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations (2023.findings-emnlp)

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Challenge: Existing methods to detect explicit hate speech (HS) are focusing on detecting explicit forms of hateful expressions on user-generated content.
Approach: They propose to examine the differences between embedding implicit and explicit hateful messages . they compare and link explicit and implicit hateful message across datasets .
Outcome: The proposed model improves on explicit hate speech detection while retaining high performance on borderline cases.

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