Hate Speech Normalization
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Hate Speech Normalization
Most implemented papers
Hate a Little Less, Love a Little More! Proactively Curbing Online Hatred via Hate Speech Normalization
LCS2-IIITD/Hate_Norm
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ACL ARR October 2021
We observe that NACL outperforms its respective baselines – NACL yields a score of 0. 683 Pearson correlation for the intensity prediction, 0. 6911 F1-score in the span identification, and 67. 71 BLEU and 75. 83 perplexity for the normalized text generation.
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons.
Enhancing Social Network Hate Detection Using Back Translation and GPT-3 Augmentations During Training and Test-Time
OrKatz7/parler-hate-speech
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Information Fusion 2023
Social media platforms have become an essential means of communication, but they also serve as a breeding ground for hateful content.
