Hidden behind the obvious: misleading keywords and implicitly abusive language on social media (arXiv)
“While social media offers freedom of self-expression, abusive language carry significant negative social impact. Driven by the importance of the…
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Averting and Countering Online Hatred.
“While social media offers freedom of self-expression, abusive language carry significant negative social impact. Driven by the importance of the…
“We propose a transparent method that calculates these values by generating explicit perturbations of the input text, allowing the importance…
“This paper describes the detection and classification of hate speech on Twitter by using deep learning. This can fill in…
“This is not to say that exposure to a virtual extremist community drives one to offline violence. Social media is…
Hate speech is dominated by offensive tweets, related to political and ideological issues. The share of unacceptable tweets is moderately…
In recent years, successful hate speech detection models have been developed, such as using CNN, LSTM, but they lack a…
The dataset is curated from Twitter, annotated manually. Our dataset consists of over 25000 distinct tweets labeled into four major…
“In this study, we construct large-scale tweet datasets for hate speech detection in English and a low-resource language, Turkish, consisting…
“Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a…
“We experiment with an array of algorithms for hate-speech detection, demonstrating limitations of transfer learning in that domain, given the…
“In a report from the Anti-Defamation League, Libby Hemphill, an affiliate analysis professor at U-M’s Institute for Social Analysis and…
“The detection of hate speech online has become an important task, as offensive language such as hurtful, obscene and insulting…