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, 2023 Nowadays, the Muslim community is one of the most discriminated groups in Europe. Anti-Islam hate speeches circulate online and offline especially through the intense use social media, fake news, bots, and click-baiting practices. However even if Muslim discriminatory practices have been gaining more media relevance in the recent years, anti-Muslim ...
Alessandra Vitullo
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Hate Speech: A Systematized Review
SAGE Open, 2020 This review focuses on papers on Hate Speech, particularly in legal and communication studies indexed in Web of Science. It analyzes output published in English and in Spanish as well as surveys the predominant disciplines in which these studies are ...
Julio Montero-Díaz +1 more
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International Conference on Human Factors in Computing Systems
Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, called over-moderation, and failing to protect online platforms from harmful ...
David Hartmann +5 more
semanticscholar +1 more source
Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, called over-moderation, and failing to protect online platforms from harmful ...
David Hartmann +5 more
semanticscholar +1 more source
, 2019 This chapter explores understandings of online hate speech and its social control from institutional and corporate perspectives. Hate speech has increasingly become a source of societal and political concern across the globe, as witnessed by recent ...
Millar, Sharon, Sharon Millar
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HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
USENIX Security SymposiumLarge Language Models (LLMs) have raised increasing concerns about their misuse in generating hate speech. Among all the efforts to address this issue, hate speech detectors play a crucial role.
Xinyue Shen +5 more
semanticscholar +1 more source
An Annotated Corpus of Arabic Tweets for Hate Speech Analysis
Recent Advances in Natural Language ProcessingIdentifying hate speech content in the Arabic language is challenging due to the rich quality of dialectal variations. This study introduces a multilabel hate speech dataset in the Arabic language. We have collected 10000 Arabic tweets and annotated each
W. Zaghouani, Md. Rafiul Biswas
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Annual Meeting of the Association for Computational Linguistics
The existing research has primarily focused on text and image-based hate speech detection, video-based approaches remain underexplored. In this work, we introduce a novel dataset, ImpliHateVid, specifically curated for implicit hate speech detection in ...
M. Z. Rehman +4 more
semanticscholar +1 more source
The existing research has primarily focused on text and image-based hate speech detection, video-based approaches remain underexplored. In this work, we introduce a novel dataset, ImpliHateVid, specifically curated for implicit hate speech detection in ...
M. Z. Rehman +4 more
semanticscholar +1 more source
Hate Speech Detection Research in South Asian Languages: A Survey of Tasks, Datasets and Methods
ACM Trans. Asian Low Resour. Lang. Inf. Process.Social media has over the years emerged as a powerful platform for communicating and sharing views, thoughts, and opinions. However, at the same time it is being abused by certain individuals to spread hate against individuals, communities, religions ...
Deepawali Sharma +3 more
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Towards Efficient and Explainable Hate Speech Detection via Model Distillation
European Conference on Information RetrievalAutomatic detection of hate and abusive language is essential to combat its online spread. Moreover, recognising and explaining hate speech serves to educate people about its negative effects. However, most current detection models operate as black boxes,
Paloma Piot, Javier Parapar
semanticscholar +1 more source