23 citations · 56 across the 9 of their papers we have counts for
12 papers
Conversation Kernels: A Flexible Mechanism to Learn Relevant Context for Online Conversation Understanding
Vibhor Agarwal, Arjoo Gupta, Suparna De +1
Understanding online conversations has attracted research attention with the growth of social networks and online discussion forums. Content analysis of posts and replies in online…
MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models
Vibhor Agarwal, Yiqiao Jin, Mohit Chandra +3
Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence amon…
Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse
Vibhor Agarwal, Aravindh Raman, Nishanth Sastry +3
The recent development of decentralised and interoperable social networks (such as the "fediverse") creates new challenges for content moderators. This is because millions of posts…
GASCOM: Graph-based Attentive Semantic Context Modeling for Online Conversation Understanding
Vibhor Agarwal, Yu Chen, Nishanth Sastry
Online conversation understanding is an important yet challenging NLP problem which has many useful applications (e.g., hate speech detection). However, online conversations typica…
HateRephrase: Zero- and Few-Shot Reduction of Hate Intensity in Online Posts using Large Language Models
Vibhor Agarwal, Yu Chen, Nishanth Sastry
Hate speech has become pervasive in today's digital age. Although there has been considerable research to detect hate speech or generate counter speech to combat hateful views, the…
AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
Vahid Ghafouri, Vibhor Agarwal, Yong Zhang +3
The introduction of ChatGPT and the subsequent improvement of Large Language Models (LLMs) have prompted more and more individuals to turn to the use of ChatBots, both for informat…
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection
Wenjie Yin, Vibhor Agarwal, Aiqi Jiang +2
Supervised approaches generally rely on majority-based labels. However, it is hard to achieve high agreement among annotators in subjective tasks such as hate speech detection. Exi…
A Graph-Based Context-Aware Model to Understand Online Conversations
Vibhor Agarwal, Anthony P. Young, Sagar Joglekar +1
Online forums that allow for participatory engagement between users have been transformative for the public discussion of many important issues. However, such conversations can som…
"Way back then": A Data-driven View of 25+ years of Web Evolution
Vibhor Agarwal, Nishanth Sastry
Since the inception of the first web page three decades back, the Web has evolved considerably, from static HTML pages in the beginning to the dynamic web pages of today, from main…
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
Vibhor Agarwal, Sagar Joglekar, Anthony P. Young +1
Online forums that allow participatory engagement between users have been transformative for public discussion of important issues. However, debates on such forums can sometimes es…
Under the Spotlight: Web Tracking in Indian Partisan News Websites
Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal +5
India is experiencing intense political partisanship and sectarian divisions. The paper performs, to the best of our knowledge, the first comprehensive analysis on the Indian onlin…
Differential Tracking Across Topical Webpages of Indian News Media
Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal +4
Online user privacy and tracking have been extensively studied in recent years, especially due to privacy and personal data-related legislations in the EU and the USA, such as the…