Do the number of origins and confidence thresholds in beliefs influence rumor diffusion dynamics?

A theoretical approach using an agent-based model

Authors

  • Tania Hahn Utrero University of Groningen

Abstract

Today, the actions of individuals who act, or fail to act, on the basis of a rumor can have major economic, political, and social implications. Following a review of the literature, this article proposes, firstly, a new sociological definition of rumor accounting for the concepts of uncertainty and suspicion of elite malevolence. Secondly, it examines how the variables number of rumor origins and people’s confidence threshold in their own beliefs affect the dynamics of rumor diffusion. To this end, an agent-based model is built using the NetLogo program to carry out various simulations. The outcomes of the model are twofold. First, there is always total rumor diffusion. Second, the two variables studied affect the speed at which a rumor spreads, but not whether it spreads.

Keywords

opinion dynamics, information diffusion, confidence thresholds, social networks, social influence, social change, fake news, computational simulation, agent based model, NetLogo

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Author Biography

Tania Hahn Utrero, University of Groningen

“Research master in Behavioural and Social Sciences” por la Universidad de Groningen.

Published

2022-04-22

How to Cite

Hahn Utrero, T. (2022). Do the number of origins and confidence thresholds in beliefs influence rumor diffusion dynamics? A theoretical approach using an agent-based model. Papers. Revista De Sociologia, 107(2), e2994. https://doi.org/10.5565/rev/papers.2994

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