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 …

Benchmarking aggression identification in social media

R Kumar, AK Ojha, S Malmasi… - Proceedings of the first …, 2018 - aclanthology.org
In this paper, we present the report and findings of the Shared Task on Aggression
Identification organised as part of the First Workshop on Trolling, Aggression and …

A corpus of Turkish offensive language on social media

Ç Çöltekin - Proceedings of the Twelfth language resources and …, 2020 - aclanthology.org
This paper introduces a corpus of Turkish offensive language. To our knowledge, this is the
first corpus of offensive language for Turkish. The corpus consists of randomly sampled …

Evaluating aggression identification in social media

R Kumar, AK Ojha, S Malmasi… - Proceedings of the …, 2020 - aclanthology.org
In this paper, we present the report and findings of the Shared Task on Aggression and
Gendered Aggression Identification organised as part of the Second Workshop on Trolling …

A joint learning approach with knowledge injection for zero-shot cross-lingual hate speech detection

EW Pamungkas, V Basile, V Patti - Information Processing & Management, 2021 - Elsevier
Hate speech is an increasingly important societal issue in the era of digital communication.
Hateful expressions often make use of figurative language and, although they represent, in …

Developing a multilingual annotated corpus of misogyny and aggression

S Bhattacharya, S Singh, R Kumar, A Bansal… - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, we discuss the development of a multilingual annotated corpus of misogyny
and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying …

Online extremism detection in textual content: a systematic literature review

S Aldera, A Emam, M Al-Qurishi, M Alrubaian… - IEEE …, 2021 - ieeexplore.ieee.org
Social media networks such as Twitter, Facebook, YouTube, blogs, and discussion forums
are becoming powerful tools that extremist groups use to disseminate radical ideologies and …

Offensive language identification in Dravidian code mixed social media text

S Saumya, A Kumar, JP Singh - … of the first workshop on speech …, 2021 - aclanthology.org
Hate speech and offensive language recognition in social media platforms have been an
active field of research over recent years. In non-native English spoken countries, social …

[PDF][PDF] Social network hate speech detection for Amharic language

Z Mossie, JH Wang - Computer Science & Information Technology, 2018 - csitcp.net
The anonymity of social networks makes it attractive for hate speech to mask their criminal
activities online posing a challenge to the world and in particular Ethiopia. With this …