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 …

A Survey on Online Aggression: Content Detection and Behavioural Analysis on Social Media Platforms

S Mane, S Kundu, R Sharma - ACM Computing Surveys, 2023 - dl.acm.org
The proliferation of social media has increased cyber-aggressive behavior behind the
freedom of speech, posing societal risks from online anonymity to real-world consequences …

[HTML][HTML] Contextual embeddings based on fine-tuned Urdu-BERT for Urdu threatening content and target identification

MSI Malik, U Cheema, DI Ignatov - … of King Saud University-Computer and …, 2023 - Elsevier
Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …

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 …

[HTML][HTML] Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective

I Abdellaoui, A Ibrahimi, MA El Bouni, A Mourhir… - Big Data and Cognitive …, 2024 - mdpi.com
Moroccan Darija, a dialect of Arabic, presents unique challenges for natural language
processing due to its lack of standardized orthographies, frequent code switching, and status …

Leveraging transfer learning for hate speech detection in portuguese social media posts

G Ramos, F Batista, R Ribeiro, P Fialho, S Moro… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid rise of social media has brought about new ways of digital communication, along
with a worrying increase in online hate speech (HS), which, in turn, has led researchers to …

HumourHindiNet: Humour detection in Hindi web series using word embedding and convolutional neural network

A Kumar, A Mallik, S Kumar - ACM Transactions on Asian and Low …, 2024 - dl.acm.org
Humour is a crucial aspect of human speech, and it is, therefore, imperative to create a
system that can offer such detection. While data regarding humour in English speech is …

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 …

Detection of Offensive and Threatening Online Content in a Low Resource Language

FM Adam, AY Zandam, I Inuwa-Dutse - arXiv preprint arXiv:2311.10541, 2023 - arxiv.org
Hausa is a major Chadic language, spoken by over 100 million people in Africa. However,
from a computational linguistic perspective, it is considered a low-resource language, with …

Threatening Expression and Target Identification in Under-Resource Languages Using NLP Techniques

MSI Malik - International Conference on Analysis of Images, Social …, 2023 - Springer
In recent decades, hate speech on social media platforms has been on the rise. It is highly
desired to control this kind of material because it initiates unrest and harms to the society …