DETECTING COORDINATED LINK SHARING BEHAVIOR ON FACEBOOK DURING THE ITALIAN CORONAVIRUS OUTBREAK

Author(s)
Fabio Giglietto, Nicola Righetti, Giada Marino
Abstract

Social media, as many scholars have shown, can be used to influence political behavior through coordinated disinformation campaigns in which participants pretend to be ordinary citizens. With a specific reference to Facebook, a recent study has spotlighted patterns of coordinated activity aimed at fueling online circulation of specific news stories before the 2018 and 2019 Italian elections, an activity called by the authors “Coordinated Link Sharing Behavior” (CLSB). More precisely, CLSB refers to the coordinated shares of the same news articles in a very short time by networks of entities composed by Facebook pages, groups and verified public profiles. The uncertainty related to the coronavirus outbreak is a unique chance for malicious actors to leverage the anxiety of online publics to reach their goals, filling the information void with problematic content. Considering the association between coordination, media manipulation, and problematic information, the entities involved in coordinated online activities represent a privileged perspective on these phenomena. Thus, against the backdrop of the literature and the already conducted studies, this proposal will discuss Coordinated Link Sharing Behavior in the context of the coronavirus outbreak informational void, analyzing network mutations over time and the content strategies used to exploit the ambiguity associated with the topic.

Organisation(s)
External organisation(s)
Università degli Studi di Urbino "Carlo Bo"
Journal
AoIR Selected Papers of Internet Research
Volume
2020
DOI
https://doi.org/10.5210/spir.v2020i0.11219
Publication date
2020
Peer reviewed
Yes
Austrian Fields of Science 2012
508007 Communication science, 508020 Political communication
Portal url
https://ucris.univie.ac.at/portal/en/publications/detecting-coordinated-link-sharing-behavior-on-facebook-during-the-italian-coronavirus-outbreak(af5b21b9-dac3-45a0-83b7-df408707fdcf).html