Literature DB >> 33733162

Opinion Formation on the Internet: The Influence of Personality, Network Structure, and Content on Sharing Messages Online.

Laura Burbach1, Patrick Halbach1, Martina Ziefle1, André Calero Valdez1.   

Abstract

Today the majority of people uses online social networks not only to stay in contact with friends, but also to find information about relevant topics, or to spread information. While a lot of research has been conducted into opinion formation, only little is known about which factors influence whether a user of online social networks disseminates information or not. To answer this question, we created an agent-based model and simulated message spreading in social networks using a latent-process model. In our model, we varied four different content types, six different network types, and we varied between a model that includes a personality model for its agents and one that did not. We found that the network type has only a weak influence on the distribution of content, whereas the message type has a clear influence on how many users receive a message. Using a personality model helped achieved more realistic outcomes.
Copyright © 2020 Burbach, Halbach, Ziefle and Calero Valdez.

Entities:  

Keywords:  latent process model; message spread; network types; opinion formation; personality traits; social networks

Year:  2020        PMID: 33733162      PMCID: PMC7861255          DOI: 10.3389/frai.2020.00045

Source DB:  PubMed          Journal:  Front Artif Intell        ISSN: 2624-8212


  17 in total

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Authors:  Yilun Shang
Journal:  Springerplus       Date:  2016-07-07

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Authors:  R A Power; M Pluess
Journal:  Transl Psychiatry       Date:  2015-07-14       Impact factor: 6.222

10.  The spread of low-credibility content by social bots.

Authors:  Chengcheng Shao; Giovanni Luca Ciampaglia; Onur Varol; Kai-Cheng Yang; Alessandro Flammini; Filippo Menczer
Journal:  Nat Commun       Date:  2018-11-20       Impact factor: 14.919

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  1 in total

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  1 in total

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