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Volume: 31 | Article ID: art00004
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Visualizing Tweets from Confirmed Fake Russian Accounts
Stephen Hsu
David Kes
Alark Joshi
  DOI :  10.2352/ISSN.2470-1173.2019.1.VDA-678  Published Online :  January 2019
Abstract

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.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/ISSN.2470-1173.2019.1.VDA-678
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Stephen Hsu, David Kes, Alark Joshi, "Visualizing Tweets from Confirmed Fake Russian Accounts"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Visualization and Data Analysis,  2019,  pp 678-1 - 678-8,  https://doi.org/10.2352/ISSN.2470-1173.2019.1.VDA-678

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/ISSN.2470-1173.2019.1.VDA-678
2470-1173(20190113)2019:1L.6781;1-
ei_24701173_v2019n1_inputei_24701173_v2019n1/s4.xml
/ist/ei/2019/00002019/00000001/art00004
Articles
Visualizing Tweets from Confirmed Fake Russian Accounts
HsuStephen
KesDavid
JoshiAlark
13012019
2019
1
678-1
678-8
2019
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.
Social mediaSentiment DetectionExploratory Visualization