activity
20202022
most citedDomain Adaptive Fake News Detection via Reinforcement Learning

99 citations · 171 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SI202299 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.CY202132 cited

Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors

Mansooreh Karami, Tahora H. Nazer, Huan Liu

The rise of fake news in the past decade has brought with it a host of consequences, from swaying opinions on elections to generating uncertainty during a pandemic. A majority of m…

cs.SI202115 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.LG202116 cited

Causal Inference for Time series Analysis: Problems, Methods and Evaluation

Raha Moraffah, Paras Sheth, Mansooreh Karami +5

Time series data is a collection of chronological observations which is generated by several domains such as medical and financial fields. Over the years, different tasks such as c…

cs.LG20206 cited

Causal Adversarial Network for Learning Conditional and Interventional Distributions

Raha Moraffah, Bahman Moraffah, Mansooreh Karami +2

We propose a generative Causal Adversarial Network (CAN) for learning and sampling from conditional and interventional distributions. In contrast to the existing CausalGAN which re…

cs.SI20203 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…