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 …

[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance

BR Chakravarthi, A Hande, R Ponnusamy… - International Journal of …, 2022 - Elsevier
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …

Hate speech detection in social media: Techniques, recent trends, and future challenges

A Rawat, S Kumar, SS Samant - Wiley Interdisciplinary Reviews …, 2024 - Wiley Online Library
Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …

Hottest: Hate and offensive content identification in Tamil using transformers and enhanced stemming

R Rajalakshmi, S Selvaraj, P Vasudevan - Computer Speech & …, 2023 - Elsevier
Offensive content or hate speech is defined as any form of communication that aims to
annoy, harass, disturb, or anger an individual or community based on factors such as faith …

A transfer learning approach for detecting offensive and hate speech on social media platforms

I Priyadarshini, S Sahu, R Kumar - Multimedia Tools and Applications, 2023 - Springer
Over the last few decades, the expansion of technology and the internet has led to the
number of users proliferating on social media, with a simultaneous increase in hate speech …

RETRACTED ARTICLE: Multilingual hate speech detection sentimental analysis on social media platforms using optimal feature extraction and hybrid diagonal gated …

P Kar, S Debbarma - The Journal of Supercomputing, 2023 - Springer
Many activities are conducted on social media platforms, such as promoting products,
sharing news and sharing achievements. As a result of users' freedom and anonymity on …

Detecting dravidian offensive posts in MIoT: A hybrid deep learning framework

A Kumar, S Saumya, A Singh - ACM Transactions on Asian and Low …, 2023 - dl.acm.org
Hate speech and Offensive Posts (OP) detection on Smart Multimedia Internet of Things
(MIoT) have been an active issue for researchers. MIoT media texts in non-native English …

Offensive Language Detection in Spanish Social Media: Testing From Bag-of-Words to Transformers Models

JM Molero, J Pérez-Martín, A Rodrigo, A Peñas - IEEE Access, 2023 - ieeexplore.ieee.org
Social networks allow us to communicate with people around the world. However, some
users usually take advantage of anonymity for writing offensive comments to others, which …

Inculcating context for emoji powered bengali hate speech detection using extended fuzzy svm and text embedding models

S Ghosal, A Jain, DK Tayal, VG Menon… - ACM transactions on …, 2023 - dl.acm.org
The massive growth of social webs offer opportunities to communicate with diverse
languages, unstructured text, informal posts, misspelled contents and emojis. Social media …

[HTML][HTML] Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data

S Kaur, S Singh, S Kaushal - International Journal of Cognitive Computing …, 2024 - Elsevier
With the rapid growth of social media culture, the use of offensive or hateful language has
surged, which necessitates the development of effective abusive language detection models …