LLMs generate adequate counterspeech for co-occurring hate and misinformation in 40% of cases, with a mixed knowledge strategy from fact-checkers and NGOs proving most effective after expert revision.
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
2 Pith papers cite this work. Polarity classification is still indexing.
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A counterspeech bot influences bystanders subtly through credible and normative presence, with cognitive strategies paired with positive tone proving relatively effective while poor performance can discourage participation.
citing papers explorer
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Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation
LLMs generate adequate counterspeech for co-occurring hate and misinformation in 40% of cases, with a mixed knowledge strategy from fact-checkers and NGOs proving most effective after expert revision.
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Echoes of Norms: Investigating Counterspeech Bots' Influence on Bystanders in Online Communities
A counterspeech bot influences bystanders subtly through credible and normative presence, with cognitive strategies paired with positive tone proving relatively effective while poor performance can discourage participation.