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20182026
most citedBehavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning

1 citations · 2 across the 7 of their papers we have counts for

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cs.SI2023★ 1 cited

Behavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning

Euna Mehnaz Khan, Ayush Ram, Bhavtosh Rath +2

With the ever-increasing spread of misinformation on online social networks, it has become very important to identify the spreaders of misinformation (unintentional), disinformatio…

cs.SI2021★ 1 cited

SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction

Bhavtosh Rath, Xavier Morales, Jaideep Srivastava

False information and true information fact checking it, often co-exist in social networks, each competing to influence people in their spread paths. An efficient strategy here to…

cs.SI2021

Assessing Individual and Community Vulnerability to Fake News in Social Networks

Bhavtosh Rath, Wei Gao, Jaideep Srivastava

The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false i…

cs.SI2020

Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning

Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava

An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not b…

cs.SI2018

Impact of News Organizations' Trustworthiness and Social Media Activity on Audience Engagement

Bhavtosh Rath, Jisu Kim, Jisu Huh +1

News organizations are increasingly using social media to reach out to their audience aimed at raising their attention and engagement with news. Given the continuous decrease in su…