Automated hate speech detectors show poor alignment with heterogeneous in-group judgments on reclaimed slur usage, driven by low inter-annotator agreement and contextual features like derogatory intent.
Is your toxicity my toxicity? E xploring the impact of rater identity on toxicity annotation
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
PaLM 2 reports state-of-the-art results on language, reasoning, and multilingual tasks with improved efficiency over PaLM.
A randomized controlled trial on Reddit found that automated deescalation replies, especially appreciation messages, reduced the rate of personal insults posted by users.
citing papers explorer
-
IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language
Automated hate speech detectors show poor alignment with heterogeneous in-group judgments on reclaimed slur usage, driven by low inter-annotator agreement and contextual features like derogatory intent.
-
PaLM 2 Technical Report
PaLM 2 reports state-of-the-art results on language, reasoning, and multilingual tasks with improved efficiency over PaLM.
-
Reducing the rate of personal insults in social media with bystander bots
A randomized controlled trial on Reddit found that automated deescalation replies, especially appreciation messages, reduced the rate of personal insults posted by users.