A literature review of textual hate speech detection methods and datasets

F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

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 …

One to rule them all: Towards joint indic language hate speech detection

M Bhatia, TS Bhotia, A Agarwal, P Ramesh… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper is a contribution to the Hate Speech and Offensive Content Identification in Indo-
European Languages (HASOC) 2021 shared task. Social media today is a hotbed of toxic …

Hate Speech and Offensive Content Detection in Indo-Aryan Languages: A Battle of LSTM and Transformers

N Narayan, M Biswal, P Goyal, A Panigrahi - arXiv preprint arXiv …, 2023 - arxiv.org
Social media platforms serve as accessible outlets for individuals to express their thoughts
and experiences, resulting in an influx of user-generated data spanning all age groups …

TABHATE: A Target-based hate speech detection dataset in Hindi

D Sharma, VK Singh, V Gupta - Social Network Analysis and Mining, 2024 - Springer
Social media has become a platform for expressing opinions and emotions, but some
people also use it to spread hate, targeting individuals, groups, communities, or countries …

The impact of pre-processing on the performance of automated fake news detection

S Mohtaj, S Möller - International Conference of the Cross-Language …, 2022 - Springer
Fake news spreading through social media has become a serious problem in recent years,
especially after the United States presidential election in 2016. Accordingly, more attention …

On the importance of word embedding in automated harmful information detection

S Mohtaj, S Möller - International Conference on Text, Speech, and …, 2022 - Springer
Social media have been growing rapidly during past years. They changed different aspects
of human life, especially how people communicate and also how people access information …

A feature extraction based model for hate speech identification

S Mohtaj, V Schmitt, S Möller - arXiv preprint arXiv:2201.04227, 2022 - arxiv.org
The detection of hate speech online has become an important task, as offensive language
such as hurtful, obscene and insulting content can harm marginalized people or groups …

An Analysis of Hate Speech Detection Techniques

R Krisdianto, I Apriani, PM Halim… - … and Data Sciences …, 2023 - ieeexplore.ieee.org
Hate speech is any act of provoking or insulting another person or group based on their
ethnicity, religion, race, gender, sexual orientation, physical ability, or other characteristics …

[PDF][PDF] Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages using Machine Learning Models.

G Kumar, JP Singh - FIRE (Working Notes), 2022 - ceur-ws.org
The social media platform is widespread among users to share information, opinion, and
comments. Hate speech harms society, so its detection is crucial. The HASOC (Hate Speech …