no code implementations • EMNLP (NLP+CSS) 2020 • Hui Xian Lynnette Ng, Roy Ka-Wei Lee, Md Rabiul Awal
Through longitudinal analysis of each user, we construct emotion transition graphs, observing key transitions between disgust and anger, and self-transitions within anger and disgust emotional states.
1 code implementation • 28 May 2023 • Han Wang, Ming Shan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
A key concern is that these explanations, generated by LLMs, may lead to erroneous judgments about the nature of flagged content by both users and content moderators.
no code implementations • 4 Mar 2023 • Md Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty
However, most of these studies are limited to detecting hate speech only in English, neglecting the bulk of hateful content that is generated in other languages, particularly in low-resource languages.
no code implementations • 14 Mar 2021 • Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic
Automated hate speech detection in social media is a challenging task that has recently gained significant traction in the data mining and Natural Language Processing community.
no code implementations • 21 Jul 2020 • Md Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee
The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in both online and offline communities.
no code implementations • 24 Jun 2020 • Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrović
In this study, we proposed an analytical framework to study the annotation consistency in online hate and abusive content datasets.