Papers with toxicity detection systems

1 papers
Toxicity Detection: Does Context Really Matter? (2020.acl-main)

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Challenge: Existing ‘toxicity’ detection datasets and models ignore the context of the posts, implicitly assuming that comments may be judged independently.
Approach: They limit the notion of context to the previous post in the thread and the discussion title and focus on how it affects human judgement.
Outcome: The proposed model can amplify or mitigate perceived toxicity of posts and a small but significant subset of manually labeled posts end up having the opposite toxicity labels if the annotators are not provided with context.

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