Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

T Mahmud, M Ptaszynski, J Eronen, F Masui - Information Processing & …, 2023 - Elsevier
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

Chunav: Analyzing hindi hate speech and targeted groups in indian election discourse

FA Jafri, K Rauniyar, S Thapa, MA Siddiqui… - ACM Transactions on …, 2024 - dl.acm.org
In the ever-evolving landscape of online discourse and political dialogue, the rise of hate
speech poses a significant challenge to maintaining a respectful and inclusive digital …

Nehate: Large-scale annotated data shedding light on hate speech in nepali local election discourse

S Thapa, K Rauniyar, S Shiwakoti, S Poudel… - ECAI 2023, 2023 - ebooks.iospress.nl
The use of social media during election campaigns has become increasingly popular.
However, the unbridled nature of online discourse can lead to the propagation of hate …

[HTML][HTML] Homophobia and transphobia detection for low-resourced languages in social media comments

PK Kumaresan, R Ponnusamy, R Priyadharshini… - Natural Language …, 2023 - Elsevier
People are increasingly sharing and expressing their emotions using online social media
platforms such as Twitter, Facebook, and YouTube. An abusive, hateful, threatening, and …

A comprehensive review on automatic hate speech detection in the age of the transformer

G Ramos, F Batista, R Ribeiro, P Fialho, S Moro… - Social Network Analysis …, 2024 - Springer
The rapid proliferation of hate speech on social media poses significant challenges to
maintaining a safe and inclusive digital environment. This paper presents a comprehensive …

Hate speech and target community detection in nastaliq urdu using transfer learning techniques

MSI Malik, A Nawaz, MM Jamjoom - IEEE Access, 2024 - ieeexplore.ieee.org
Freedom of expression on social media has provided oppressed people with many
opportunities to raise their voices against violence and injustice, but this freedom is being …

[PDF][PDF] Overview of the HASOC Subtrack at FIRE 2023: Hate-Speech Identification in Sinhala and Gujarati.

S Satapara, H Madhu, T Ranasinghe… - FIRE (Working …, 2023 - researchgate.net
Detecting offensive and hateful content in low-resource languages poses a significant
challenge due to the limited availability of benchmark datasets. It is crucial to address this …

Enriching Urdu NER with BERT embedding, data augmentation, and hybrid encoder-CNN architecture

A Ahmed, D Huang, SY Arafat, I Hameed - ACM Transactions on Asian …, 2024 - dl.acm.org
Named Entity Recognition (NER) is an indispensable component of Natural Language
Processing (NLP), which aims to identify and classify entities within text data. While Deep …

So-haTRed: A novel hybrid system for Turkish Hate Speech Detection in Social Media with Ensemble Deep Learning improved by BERT and clustered-Graph …

AB Altinel, S Sahin, MZ Gurbuz, GK Baydogmus - IEEE Access, 2024 - ieeexplore.ieee.org
Hate speech on online platforms, characterized by discriminatory language targeting
individuals or groups, poses significant harm and necessitates robust detection methods for …

A systematic literature review on sentiment analysis techniques, challenges, and future trends

HMU Ali, Q Farooq, A Imran, K El Hindi - Knowledge and Information …, 2025 - Springer
In the last ten years, social media site mining, including Twitter, Facebook, Instagram, and all
other websites, has become a popular area of study. In the world of digital media today …