Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate

Lenti, Jacopo; Ruffo, Giancarlo

doi:10.48550/arxiv.2201.08822

Cited by 1 publication

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“…Volatile users often shift between CCs without attaching to any, if not for a very limited time. The identification and characterization of volatile users in online debates is relevant, as they might represent undecided users who have not already taken a strong position about the discussed topic (Longpre, Durmus, and Cardie 2019;Lenti and Ruffo 2022). Here, we operationalize volatile users as those who performed three or more shifts, and that spent less than one third of the total time in each CC to which they belonged.…”

Section: Rq3: Archetypes and Drivers Of User Behaviormentioning

confidence: 99%

Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence

Tardelli¹,

Nizzoli²,

Tesconi³

et al. 2023

Preprint

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Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online behavior. State-of-the-art methods for detecting coordinated behavior perform static analyses, disregarding the temporal dynamics of coordination. Here, we carry out the first dynamic analysis of coordinated behavior. To reach our goal we build a multiplex temporal network and we perform dynamic community detection to identify groups of users that exhibited coordinated behaviors in time. Thanks to our novel approach we find that: (i) coordinated communities feature variable degrees of temporal instability; (ii) dynamic analyses are needed to account for such instability, and results of static analyses can be unreliable and scarcely representative of unstable communities; (iii) some users exhibit distinct archetypal behaviors that have important practical implications; (iv) content and network characteristics contribute to explaining why users leave and join coordinated communities. Our results demonstrate the advantages of dynamic analyses and open up new directions of research on the unfolding of online debates, on the strategies of coordinated communities, and on the patterns of online influence.

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Section: Rq3: Archetypes and Drivers Of User Behaviormentioning

confidence: 99%