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Open Access Visualizing Tweets from Confirmed Fake Russian Accounts

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Social media has played a huge role in the 2016 US Presidential Elections. In this paper, we present the results of an exploratory visualization of 200,000+ tweets from confirmed fake twitter accounts. We analyze the user accounts by examining their user names, descriptions/bios, tweets, tweet frequency, and content. We found that they made themselves relatable using political and religious beliefs and then used their influence by joining into popular hashtags on Twitter and posting strongly polarizing tweets at crucial times such as debates and primaries in the election cycle.
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Keywords: Exploratory Visualization; Sentiment Detection; Social media

Document Type: Research Article

Publication date: January 13, 2019

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