15 papers
X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework
Mohammad Zia Ur Rehman, Sai Kartheek Reddy Kasu, Shashivardhan Reddy Koppula +3
Hate speech detection on social media faces challenges in both accuracy and explainability, especially for underexplored Indic languages. We propose a novel explainability-guided t…
Uncertainty-aware Semi-supervised Ensemble Teacher Framework for Multilingual Depression Detection
Mohammad Zia Ur Rehman, Velpuru Navya, Sanskar +2
Detecting depression from social media text is still a challenging task. This is due to different language styles, informal expression, and the lack of annotated data in many langu…
A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method
Ashutosh Anshul, Gumpili Sai Pranav, Mohammad Zia Ur Rehman +1
The recent coronavirus disease (Covid-19) has become a pandemic and has affected the entire globe. During the pandemic, we have observed a spike in cases related to mental health,…
D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning -- A Benchmark Dataset and Method
Sai Kartheek Reddy Kasu, Mohammad Zia Ur Rehman, Shahid Shafi Dar +3
Dark humor in online memes poses unique challenges due to its reliance on implicit, sensitive, and culturally contextual cues. To address the lack of resources and methods for dete…
RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection
Ashutosh Anshul, Mohammad Zia Ur Rehman, Sri Akash Kadali +1
Detecting automated accounts (bots) among genuine users on platforms like Twitter remains a challenging task due to the evolving behaviors and adaptive strategies of such accounts.…
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies: a benchmark dataset and method
Shahid Shafi Dar, Mohammad Zia Ur Rehman, Karan Bais +2
In times of crisis, the prompt and precise classification of disaster-related information shared on social media platforms is crucial for effective disaster response and public saf…