Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains

2021 IEEE International Conference on Data Mining (ICDM)(2021)

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摘要
Given a tweet, predicting the discussions that unfold around it is convoluted, to say the least. Most if not all of the discernibly benign tweets which seem innocuous may very well attract inflammatory posts (hate speech) from people who find them non-congenial. Therefore, building upon the aforementioned task and predicting if a tweet will incite hate speech is of critical importance. To stifle t...
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关键词
Toxicology,Social networking (online),Hate speech,Blogs,Semantics,Data mining,Artificial intelligence
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