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20202025
most citedDomain Adaptive Fake News Detection via Reinforcement Learning

99 citations · 245 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.SI2022★ 1 cited

Estimating Topic Exposure for Under-Represented Users on Social Media

Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth +1

Online Social Networks (OSNs) facilitate access to a variety of data allowing researchers to analyze users' behavior and develop user behavioral analysis models. These models rely…

cs.SI2022★ 99 cited

Domain Adaptive Fake News Detection via Reinforcement Learning

Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu +2

With social media being a major force in information consumption, accelerated propagation of fake news has presented new challenges for platforms to distinguish between legitimate…

cs.SI2021★ 16 cited

A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation

Faisal Alatawi, Lu Cheng, Anique Tahir +4

Echo chambers on social media are a significant problem that can elicit a number of negative consequences, most recently affecting the response to COVID-19. Echo chambers promote c…

cs.SI2021★ 15 cited

Mechanisms and Attributes of Echo Chambers in Social Media

Bohan Jiang, Mansooreh Karami, Lu Cheng +2

Echo chambers may exclude social media users from being exposed to other opinions, therefore, can cause rampant negative effects. Among abundant evidence are the 2016 and 2020 US p…

cs.SI2020★ 3 cited

Combating Disinformation in a Social Media Age

Kai Shu, Amrita Bhattacharjee, Faisal Alatawi +4

The creation, dissemination, and consumption of disinformation and fabricated content on social media is a growing concern, especially with the ease of access to such sources, and…