The Spread of Propaganda by Coordinated Communities on Social Media

Kristina Hristakieva, Stefano Cresci*, Giovanni Da San Martino, Mauro Conti, Preslav Nakov

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

13 Citations (Scopus)

Abstract

Large-scale manipulations on social media have two important characteristics: (i) they use propaganda to influence others, and (ii) they adopt coordinated behavior to spread propaganda and to amplify its impact. Despite the connection between them, these two characteristics have so far been considered in isolation. Here we aim to bridge this gap. In particular, we analyze the spread of propaganda and its interplay with coordinated behavior on a large Twitter dataset about the 2019 UK general election. We first propose and evaluate several measures for quantifying the use of propaganda on Twitter. Then, we investigate the use of propaganda by different coordinated communities that participated in the online debate. The combined analysis of propaganda and of coordination provides evidence about the harmfulness of coordinated communities that would not be available otherwise. For instance, it allows us to identify a harmful politically-oriented community as well as a harmless community of grassroots activists. Finally, we compare our measures of propaganda and of coordination to automation scores (i.e., the use of bots) and Twitter suspensions, revealing interesting trends. From a theoretical viewpoint, we introduce a methodology for analyzing several important dimensions of online behavior that are seldom conjointly considered. From a practical viewpoint, we provide new and nuanced insights into inauthentic and harmful online activities in the run up to the 2019 UK general election.

Original languageEnglish
Title of host publicationWebSci 2022 - Proceedings of the 14th ACM Web Science Conference
PublisherAssociation for Computing Machinery (ACM)
Pages191-201
Number of pages11
ISBN (Electronic)9781450391917
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event14th ACM Web Science Conference, WebSci 2022 - Virtual, Online, Spain
Duration: 26 Jun 202229 Jun 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th ACM Web Science Conference, WebSci 2022
Country/TerritorySpain
CityVirtual, Online
Period26/06/2229/06/22

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