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Found 8 papers, 5 papers with code
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
We find that (i) small amounts of diverse data are hugely beneficial to generalisation and model adaptation; (ii) models transfer more easily across demographics but models trained on cross-domain data are more generalisable; (iii) some groups contribute more to generalisability than others; and (iv) dataset similarity is a signal of transferability.
Understanding Counterspeech for Online Harm Mitigation
Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse.
Multilingual Counter Narrative Type Classification
The growing interest in employing counter narratives for hatred intervention brings with it a focus on dataset creation and automation strategies.
Empowering NGOs in Countering Online Hate Messages
In this paper, we introduce a novel ICT platform that NGO operators can use to monitor and analyze social media data, along with a counter-narrative suggestion tool.
Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech
Tackling online hatred using informed textual responses - called counter narratives - has been brought under the spotlight recently.
Generating Counter Narratives against Online Hate Speech: Data and Strategies
Recently research has started focusing on avoiding undesired effects that come with content moderation, such as censorship and overblocking, when dealing with hatred online.
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
Although there is an unprecedented effort to provide adequate responses in terms of laws and policies to hate content on social media platforms, dealing with hatred online is still a tough problem.
