Results 241 to 250 of about 884,547 (279)

Towards Efficient and Explainable Hate Speech Detection via Model Distillation

European Conference on Information Retrieval
Automatic 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

Free speech, hate speech, and hate beards

2017
Abstract This paper explores the discourse and verbal strategies of the Dutch ‘Freedom Party’ (PVV), an islamophobic populist party that emerged in the first decade of the twenty-first century. In particular, it focuses on the linguistic ideologies implicit in PVV discourse, arguing that PVV spokespersons systematically ...
openaire   +3 more sources

Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection

Annual Meeting of the Association for Computational Linguistics
The fairness and trustworthiness of Large Language Models (LLMs) are receiving increasing attention. Implicit hate speech, which employs indirect language to convey hateful intentions, occupies a significant portion of practice.
Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu   +3 more
semanticscholar   +1 more source

The Harms of Hate Speech

Abstract Hate speech, so the argument goes, harms. That is what differentiates it from other types of speech which, though perhaps vituperative or offensive, are not justifiably regulable on free speech grounds. Understanding the harms of hate speech is therefore crucial because it is the harms that are said to justify the regulation ...
Gelber, Katharine, Murphy, Molly
openaire   +2 more sources

Hate speech detection in social media: Techniques, recent trends, and future challenges

WIREs Computational Statistics
The realm of Natural Language Processing and Text Mining has seen a surge in interest from researchers in hate speech detection, leading to an increase in related studies.
Anchal Rawat, Santosh Kumar, Surender Singh Samant   +2 more
semanticscholar   +1 more source

So Hateful! Building a Multi-Label Hate Speech Annotated Arabic Dataset

International Conference on Language Resources and Evaluation
Social media enables widespread propagation of hate speech targeting groups based on ethnicity, religion, or other characteristics. With manual content moderation being infeasible given the volume, automatic hate speech detection is essential. This paper
W. Zaghouani, Hamdy Mubarak, Md. Rafiul Biswas   +2 more
semanticscholar   +1 more source

BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla

North American Chapter of the Association for Computational Linguistics
The proliferation of transliterated texts in digital spaces has emphasized the need for detecting and classifying hate speech in languages beyond English, particularly in low-resource languages.
Fabiha Haider, Fariha Tanjim Shifat, Md Farhan Ishmam, Deeparghya Dutta Barua, Md Sakib Ul Rahman Sourove, Md Fahim, Md Farhad Alam   +6 more
semanticscholar   +1 more source

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales

WOAH
Although social media platforms are a prominent arena for users to engage in interpersonal discussions and express opinions, the facade and anonymity offered by social media may allow users to spew hate speech and offensive content.
Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu   +3 more
semanticscholar   +1 more source

HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language

IEEE Transactions on Computational Social Systems
Social media platforms are a double-edged sword: on the one hand, they enable the dissemination of information; but on the other hand, they also provide an avenue for spreading online abuse and harassment, such as hate speech.
Krishanu Maity, A. Poornash, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa   +6 more
semanticscholar   +1 more source

Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering

Conference on Empirical Methods in Natural Language Processing
The potential effectiveness of counterspeech as a hate speech mitigation strategy is attracting increasing interest in the NLG research community, particularly towards the task of automatically producing it.
Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, S. Villata, Marco Guerini   +5 more
semanticscholar   +1 more source