Arabic Offensive and Hate Speech Detection Usinga Cross-Corpora Multi-Task Learning Model (MDPI)
“This study investigates offensive and hate speech on Arab social media to build an accurate offensive and hate speech detection…
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (Association for Computational Linguistics)
“Despite much attention being paid to characterize and detect discriminatory speech, most work has focused on explicit or overt hate…
Detecting Hate Speech with GPT-3 (arXiv)
“We use GPT-3 to identify sexist and racist text passages with zero-, one-, and few-shot learning. We find that with…
Classification of Hate Speech Using Deep Neural Networks (HAL)
“Through this work, we propose some solutions for the problem of automatic detection of hate messages. We perform hate speech…
Developing an online hate classifer for multiple social media platforms (Springer)
“To address this research gap, we collect a total of 197,566 comments from four platforms: YouTube, Reddit, Wikipedia, and Twitter,…
An Empirical Study of Offensive Language in Online Interactions (Rochester Institute of Technology)
“Content moderators often have to deal with lengthy texts without any word-level indicators. We propose a neural transformer approach for…
Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter (IOS Press)
“A large number of methods have been developed for automated hate speech detection online. This aims to classify textual content…
Towards generalisable hate speech detection: a review on obstacles and solutions (arXiv)
“With online hate speech on the rise, its automatic detection as a natural language processing task is gaining increasing interest.…
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (arXiv)
“Despite much attention being paid to characterize and detect discriminatory speech, most work has focused on explicit or overt hate…
Automatic Detection of Cyberbullying and Abusive Language in Arabic Content on Social Networks: A Survey (Elsevier)
“Many languages have made many efforts to find automated solutions for detecting abusive language and cyberbullying, but not much for…
Using Transfer-based Language Models to Detect Hateful and Offensive Language Online (Proceedings of the Fourth Workshop on Online Abuse and Harms)
“The results indicate that the attention-based models profoundly confuse hate speech with offensive and normal language. However, the pre-trained models…
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection (AAAI)
“In this paper, we introduce HateXplain, the first benchmark hate speech dataset covering multiple aspects of the issue. Each post…