Opinion dynamics with backfire effect and biased assimilation.

The democratization of AI tools for content generation, combined with unrestricted access to mass media for all (e.g. through microblogging and social media), makes it increasingly hard for people to distinguish fact from fiction. This raises the question of how individual opinions evolve in such a...

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Autores principales:	Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, Tijl De Bie
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5beb0f90633b4e599df13bdb008fc97c
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id	oai:doaj.org-article:5beb0f90633b4e599df13bdb008fc97c
record_format	dspace
spelling	oai:doaj.org-article:5beb0f90633b4e599df13bdb008fc97c2021-12-02T20:08:40ZOpinion dynamics with backfire effect and biased assimilation.1932-620310.1371/journal.pone.0256922https://doaj.org/article/5beb0f90633b4e599df13bdb008fc97c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256922https://doaj.org/toc/1932-6203The democratization of AI tools for content generation, combined with unrestricted access to mass media for all (e.g. through microblogging and social media), makes it increasingly hard for people to distinguish fact from fiction. This raises the question of how individual opinions evolve in such a networked environment without grounding in a known reality. The dominant approach to studying this problem uses simple models from the social sciences on how individuals change their opinions when exposed to their social neighborhood, and applies them on large social networks. We propose a novel model that incorporates two known social phenomena: (i) Biased Assimilation: the tendency of individuals to adopt other opinions if they are similar to their own; (ii) Backfire Effect: the fact that an opposite opinion may further entrench people in their stances, making their opinions more extreme instead of moderating them. To the best of our knowledge, this is the first DeGroot-type opinion formation model that captures the Backfire Effect. A thorough theoretical and empirical analysis of the proposed model reveals intuitive conditions for polarization and consensus to exist, as well as the properties of the resulting opinions.Xi ChenPanayiotis TsaparasJefrey LijffijtTijl De BiePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256922 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xi Chen Panayiotis Tsaparas Jefrey Lijffijt Tijl De Bie Opinion dynamics with backfire effect and biased assimilation.
description	The democratization of AI tools for content generation, combined with unrestricted access to mass media for all (e.g. through microblogging and social media), makes it increasingly hard for people to distinguish fact from fiction. This raises the question of how individual opinions evolve in such a networked environment without grounding in a known reality. The dominant approach to studying this problem uses simple models from the social sciences on how individuals change their opinions when exposed to their social neighborhood, and applies them on large social networks. We propose a novel model that incorporates two known social phenomena: (i) Biased Assimilation: the tendency of individuals to adopt other opinions if they are similar to their own; (ii) Backfire Effect: the fact that an opposite opinion may further entrench people in their stances, making their opinions more extreme instead of moderating them. To the best of our knowledge, this is the first DeGroot-type opinion formation model that captures the Backfire Effect. A thorough theoretical and empirical analysis of the proposed model reveals intuitive conditions for polarization and consensus to exist, as well as the properties of the resulting opinions.
format	article
author	Xi Chen Panayiotis Tsaparas Jefrey Lijffijt Tijl De Bie
author_facet	Xi Chen Panayiotis Tsaparas Jefrey Lijffijt Tijl De Bie
author_sort	Xi Chen
title	Opinion dynamics with backfire effect and biased assimilation.
title_short	Opinion dynamics with backfire effect and biased assimilation.
title_full	Opinion dynamics with backfire effect and biased assimilation.
title_fullStr	Opinion dynamics with backfire effect and biased assimilation.
title_full_unstemmed	Opinion dynamics with backfire effect and biased assimilation.
title_sort	opinion dynamics with backfire effect and biased assimilation.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5beb0f90633b4e599df13bdb008fc97c
work_keys_str_mv	AT xichen opiniondynamicswithbackfireeffectandbiasedassimilation AT panayiotistsaparas opiniondynamicswithbackfireeffectandbiasedassimilation AT jefreylijffijt opiniondynamicswithbackfireeffectandbiasedassimilation AT tijldebie opiniondynamicswithbackfireeffectandbiasedassimilation
_version_	1718375183827337216

Opinion dynamics with backfire effect and biased assimilation.

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