A survey on automatic detection of hate speech in text

P Fortuna, S Nunes - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
The scientific study of hate speech, from a computer science point of view, is recent. This
survey organizes and describes the current state of the field, providing a structured overview …

A literature survey on multimodal and multilingual automatic hate speech identification

A Chhabra, DK Vishwakarma - Multimedia Systems, 2023 - Springer
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

Overview of the hasoc track at fire 2019: Hate speech and offensive content identification in indo-european languages

T Mandl, S Modha, P Majumder, D Patel… - Proceedings of the 11th …, 2019 - dl.acm.org
The identification of Hate Speech in Social Media is of great importance and receives much
attention in the text classification community. There is a huge demand for research for …

Detecting hate speech in social media

S Malmasi, M Zampieri - arXiv preprint arXiv:1712.06427, 2017 - arxiv.org
In this paper we examine methods to detect hate speech in social media, while
distinguishing this from general profanity. We aim to establish lexical baselines for this task …

Comparing pre-trained language models for Spanish hate speech detection

FM Plaza-del-Arco, MD Molina-González… - Expert Systems with …, 2021 - Elsevier
Nowadays, due to the great uncontrolled content posted daily on the Web, there has also
been a huge increase in the dissemination of hate speech worldwide. Social media, blogs …

Multilingual offensive language identification with cross-lingual embeddings

T Ranasinghe, M Zampieri - arXiv preprint arXiv:2010.05324, 2020 - arxiv.org
Offensive content is pervasive in social media and a reason for concern to companies and
government organizations. Several studies have been recently published investigating …

[PDF][PDF] Automatic hate speech detection using machine learning: A comparative study

S Abro, S Shaikh, ZH Khand, A Zafar… - International …, 2020 - pdfs.semanticscholar.org
The increasing use of social media and information sharing has given major benefits to
humanity. However, this has also given rise to a variety of challenges including the …

Aggression detection through deep neural model on twitter

S Sadiq, A Mehmood, S Ullah, M Ahmad… - Future Generation …, 2021 - Elsevier
Social interaction is being facilitated by every online environment that results in rise of anti-
social behavior. Incidents like cyberbullying, trolling and hate speech have been grown …

Challenges in discriminating profanity from hate speech

S Malmasi, M Zampieri - Journal of Experimental & Theoretical …, 2018 - Taylor & Francis
In this study, we approach the problem of distinguishing general profanity from hate speech
in social media, something which has not been widely considered. Using a new dataset …

Offensive language identification in Greek

Z Pitenis, M Zampieri, T Ranasinghe - arXiv preprint arXiv:2003.07459, 2020 - arxiv.org
As offensive language has become a rising issue for online communities and social media
platforms, researchers have been investigating ways of coping with abusive content and …