126 citations · 279 across the 40 of their papers we have counts for
10 papers · 1 filter
The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
Yibo Hu, Yiqiao Jin, Meng Ye +2
In today's cross-platform social media landscape, understanding factors that drive engagement for multimodal content, especially text paired with visuals, remains complex. This stu…
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms
Viet Cuong Nguyen, Mini Jain, Abhijat Chauhan +7
Over one in five adults in the US lives with a mental illness. In the face of a shortage of mental health professionals and offline resources, online short-form video content has g…
Corrective or Backfire: Characterizing and Predicting User Response to Social Correction
Bing He, Yingchen Ma, Mustaque Ahamad +1
Online misinformation poses a global risk with harmful implications for society. Ordinary social media users are known to actively reply to misinformation posts with counter-misinf…
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin +2
The Fair Graph Anomaly Detection (FairGAD) problem aims to accurately detect anomalous nodes in an input graph while avoiding biased predictions against individuals from sensitive…
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators
Bing He, Yibo Hu, Yeon-Chang Lee +3
Online misinformation poses a global risk with significant real-world consequences. To combat misinformation, current research relies on professionals like journalists and fact-che…
Characterizing and Predicting Social Correction on Twitter
Yingchen Ma, Bing He, Nathan Subrahmanian +1
Online misinformation has been a serious threat to public health and society. Social media users are known to reply to misinformation posts with counter-misinformation messages, wh…
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation
Bing He, Mustaque Ahamad, Srijan Kumar
The spread of online misinformation threatens public health, democracy, and the broader society. While professional fact-checkers form the first line of defense by fact-checking po…
Characterizing, Detecting, and Predicting Online Ban Evasion
Manoj Niverthi, Gaurav Verma, Srijan Kumar
Moderators and automated methods enforce bans on malicious users who engage in disruptive behavior. However, malicious users can easily create a new account to evade such bans. Pre…
Graph Vulnerability and Robustness: A Survey
Scott Freitas, Diyi Yang, Srijan Kumar +2
The study of network robustness is a critical tool in the characterization and sense making of complex interconnected systems such as infrastructure, communication and social netwo…
Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas, Diyi Yang, Srijan Kumar +2
Network robustness plays a crucial role in our understanding of complex interconnected systems such as transportation, communication, and computer networks. While significant resea…