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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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Showing 2021Show all

5 papers · 1 filter

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.CY2021★ 32 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.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.LG2021★ 16 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.CL2021★ 3 cited

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V Mancenido +1

Neural network-based embeddings have been the mainstream approach for creating a vector representation of the text to capture lexical and semantic similarities and dissimilarities.…