A survey on automatic detection of hate speech in text
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 …
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 …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Benchmarking aggression identification in social media
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 …
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 …
first corpus of offensive language for Turkish. The corpus consists of randomly sampled …
Evaluating aggression identification in social media
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 …
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
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 …
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 …
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
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 …
are becoming powerful tools that extremist groups use to disseminate radical ideologies and …
Offensive language identification in Dravidian code mixed social media text
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 …
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 …
activities online posing a challenge to the world and in particular Ethiopia. With this …