TY - GEN
T1 - Characterizing the use of images in state-sponsored informationwarfare operations by russian trolls on Twitter
AU - Zannettou, Savvas
AU - Caulfield, Tristan
AU - Bradlyn, Barry
AU - De Cristofaro, Emiliano
AU - Stringhini, Gianluca
AU - Blackburn, Jeremy
N1 - Publisher Copyright:
Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2020
Y1 - 2020
N2 - State-sponsored organizations are increasingly linked to efforts aimed to exploit social media for information warfare and manipulating public opinion. Typically, their activities rely on a number of social network accounts they control, aka trolls, that post and interact with other users disguised as "regular"users. These accounts often use images and memes, along with textual content, in order to increase the engagement and the credibility of their posts. In this paper, we present the first study of images shared by state-sponsored accounts by analyzing a ground truth dataset of 1.8M images posted to Twitter by accounts controlled by the Russian Internet Research Agency. First, we analyze the content of the images as well as their posting activity. Then, using Hawkes Processes, we quantify their influence on popular Web communities like Twitter, Reddit, 4chan's Politically Incorrect board (/pol/), and Gab, with respect to the dissemination of images.We find that the extensive image posting activity of Russian trolls coincides with real-world events (e.g., the Unite the Right rally in Charlottesville), and shed light on their targets as well as the content disseminated via images. Finally, we show that the trolls were more effective in disseminating politics-related imagery than other images.
AB - State-sponsored organizations are increasingly linked to efforts aimed to exploit social media for information warfare and manipulating public opinion. Typically, their activities rely on a number of social network accounts they control, aka trolls, that post and interact with other users disguised as "regular"users. These accounts often use images and memes, along with textual content, in order to increase the engagement and the credibility of their posts. In this paper, we present the first study of images shared by state-sponsored accounts by analyzing a ground truth dataset of 1.8M images posted to Twitter by accounts controlled by the Russian Internet Research Agency. First, we analyze the content of the images as well as their posting activity. Then, using Hawkes Processes, we quantify their influence on popular Web communities like Twitter, Reddit, 4chan's Politically Incorrect board (/pol/), and Gab, with respect to the dissemination of images.We find that the extensive image posting activity of Russian trolls coincides with real-world events (e.g., the Unite the Right rally in Charlottesville), and shed light on their targets as well as the content disseminated via images. Finally, we show that the trolls were more effective in disseminating politics-related imagery than other images.
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UR - http://www.scopus.com/inward/citedby.url?scp=85092370361&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85092370361
T3 - Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
SP - 774
EP - 785
BT - Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
PB - American Association for Artificial Intelligence (AAAI) Press
T2 - 14th International AAAI Conference on Web and Social Media, ICWSM 2020
Y2 - 8 June 2020 through 11 June 2020
ER -