Hate speech detection: A comprehensive review of recent works

A Gandhi, P Ahir, K Adhvaryu, P Shah… - Expert …, 2024 - Wiley Online Library
There has been surge in the usage of Internet as well as social media platforms which has
led to rise in online hate speech targeted on individual or group. In the recent years, hate …

Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust

A Braganza, W Chen, A Canhoto, S Sap - Journal of business research, 2021 - Elsevier
This research examines the tension between the aims of the United Nations' Sustainable
Development Goal 8 (SDG 8), to promote productive employment and decent work, and the …

Misogyny detection in twitter: a multilingual and cross-domain study

EW Pamungkas, V Basile, V Patti - Information processing & management, 2020 - Elsevier
The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …

Automatic classification of sexism in social networks: An empirical study on twitter data

F Rodríguez-Sánchez, J Carrillo-de-Albornoz… - IEEE …, 2020 - ieeexplore.ieee.org
During the last decade, hateful and sexist content towards women is being increasingly
spread on social networks. The exposure to sexist speech has serious consequences to …

Sentiment analysis on indian indigenous languages: a review on multilingual opinion mining

SR Shah, A Kaushik - arxiv preprint arxiv:1911.12848, 2019 - arxiv.org
An increase in the use of smartphones has laid to the use of the internet and social media
platforms. The most commonly used social media platforms are Twitter, Facebook …

Emotionally informed hate speech detection: a multi-target perspective

P Chiril, EW Pamungkas, F Benamara, V Moriceau… - Cognitive …, 2022 - Springer
Hate Speech and harassment are widespread in online communication, due to users'
freedom and anonymity and the lack of regulation provided by social media platforms. Hate …

Fairness for unobserved characteristics: Insights from technological impacts on queer communities

N Tomasev, KR McKee, J Kay… - Proceedings of the 2021 …, 2021 - dl.acm.org
Advances in algorithmic fairness have largely omitted sexual orientation and gender identity.
We explore queer concerns in privacy, censorship, language, online safety, health, and …

Predicting political sentiments of voters from Twitter in multi-party contexts

A Khatua, A Khatua, E Cambria - Applied Soft Computing, 2020 - Elsevier
Prior Twitter-based electoral research has mostly ignored multi-party contexts and 'mix
tweets' that jointly mention more than one party. Hence, we investigate the complex nature of …

Homo-mex: A mexican spanish annotated corpus for lgbt+ phobia detection on twitter

J Vásquez, S Andersen, G Bel-Enguix… - The 7th Workshop on …, 2023 - aclanthology.org
In the past few years, the NLP community has actively worked on detecting LGBT+ Phobia in
online spaces, using textual data publicly available Most of these are for the English …

To ban or not to ban: Bayesian attention networks for reliable hate speech detection

K Miok, B Škrlj, D Zaharie, M Robnik-Šikonja - Cognitive Computation, 2022 - Springer
Hate speech is an important problem in the management of user-generated content. To
remove offensive content or ban misbehaving users, content moderators need reliable hate …