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Computer Science > Computers and Society

arXiv:2305.19056 (cs)
[Submitted on 30 May 2023 (v1), last revised 28 Nov 2023 (this version, v3)]

Title:Drivers of social influence in the Twitter migration to Mastodon

Authors:Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli
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Abstract:The migration of Twitter users to Mastodon following Elon Musk's acquisition presents a unique opportunity to study collective behavior and gain insights into the drivers of coordinated behavior in online media. We analyzed the social network and the public conversations of about 75,000 migrated users and observed that the temporal trace of their migrations is compatible with a phenomenon of social influence, as described by a compartmental epidemic model of information diffusion. Drawing from prior research on behavioral change, we delved into the factors that account for variations across different Twitter communities in the effectiveness of the spreading of the influence to migrate. Communities in which the influence process unfolded more rapidly exhibit lower density of social connections, higher levels of signaled commitment to migrating, and more emphasis on shared identity and exchange of factual knowledge in the community discussion. These factors account collectively for 57% of the variance in the observed data. Our results highlight the joint importance of network structure, commitment, and psycho-linguistic aspects of social interactions in describing grassroots collective action, and contribute to deepen our understanding of the mechanisms driving processes of behavior change of online groups.
Comments: Please refer to the accepted version of this paper on Scientific Reports. DOI: https://doi.org/10.1038/s41598-023-48200-7
Subjects: Computers and Society (cs.CY); Physics and Society (physics.soc-ph)
Cite as: arXiv:2305.19056 [cs.CY]
  (or arXiv:2305.19056v3 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2305.19056
Related DOI: https://doi.org/10.1038/s41598-023-48200-7

Submission history

From: Lucio La Cava [view email]
[v1] Tue, 30 May 2023 14:19:02 UTC (2,629 KB)
[v2] Thu, 15 Jun 2023 17:11:39 UTC (2,692 KB)
[v3] Tue, 28 Nov 2023 15:08:33 UTC (1,373 KB)
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