Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases

In recent years, social media has become an important platform for political discourse, being a site of both political conversations between voters and political advertisements from campaigns. While their individual influences on public discourse are well documented, the interplay between individual...

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Autores principales:	Xin Wang, Antonio D. Sirianni, Shaoting Tang, Zhiming Zheng, Feng Fu
Formato:	article
Lenguaje:	EN
Publicado:	American Physical Society 2020
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/2413d97a401548cfb199f915ef3483c9
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spelling	oai:doaj.org-article:2413d97a401548cfb199f915ef3483c92021-12-02T13:27:33ZPublic Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases10.1103/PhysRevX.10.0410422160-3308https://doaj.org/article/2413d97a401548cfb199f915ef3483c92020-12-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.10.041042http://doi.org/10.1103/PhysRevX.10.041042https://doaj.org/toc/2160-3308In recent years, social media has become an important platform for political discourse, being a site of both political conversations between voters and political advertisements from campaigns. While their individual influences on public discourse are well documented, the interplay between individual-level cognitive biases, social influence processes, dueling campaign efforts, and social media platforms remains unexamined. We introduce an agent-based model that integrates these dynamics and illustrates how their combination can lead to the formation of echo chambers. We find that the range of political viewpoints that individuals are willing to consider is a key determinant in the formation of polarized networks and the emergence of echo chambers and show that aggressive political campaigns can have counterproductive outcomes by radicalizing supporters and alienating moderates. Our model results demonstrate how certain elements of public discourse and political polarization can be understood as the result of an interactive process of shifting individual opinions, evolving social networks, and political campaigns. We also introduce a dynamic empirical case, retweet networks from the final stage of the 2016 U.S. presidential election, to show how our proposed model can be calibrated with real-world behavior.Xin WangAntonio D. SirianniShaoting TangZhiming ZhengFeng FuAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 10, Iss 4, p 041042 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Xin Wang Antonio D. Sirianni Shaoting Tang Zhiming Zheng Feng Fu Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
description	In recent years, social media has become an important platform for political discourse, being a site of both political conversations between voters and political advertisements from campaigns. While their individual influences on public discourse are well documented, the interplay between individual-level cognitive biases, social influence processes, dueling campaign efforts, and social media platforms remains unexamined. We introduce an agent-based model that integrates these dynamics and illustrates how their combination can lead to the formation of echo chambers. We find that the range of political viewpoints that individuals are willing to consider is a key determinant in the formation of polarized networks and the emergence of echo chambers and show that aggressive political campaigns can have counterproductive outcomes by radicalizing supporters and alienating moderates. Our model results demonstrate how certain elements of public discourse and political polarization can be understood as the result of an interactive process of shifting individual opinions, evolving social networks, and political campaigns. We also introduce a dynamic empirical case, retweet networks from the final stage of the 2016 U.S. presidential election, to show how our proposed model can be calibrated with real-world behavior.
format	article
author	Xin Wang Antonio D. Sirianni Shaoting Tang Zhiming Zheng Feng Fu
author_facet	Xin Wang Antonio D. Sirianni Shaoting Tang Zhiming Zheng Feng Fu
author_sort	Xin Wang
title	Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
title_short	Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
title_full	Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
title_fullStr	Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
title_full_unstemmed	Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
title_sort	public discourse and social network echo chambers driven by socio-cognitive biases
publisher	American Physical Society
publishDate	2020
url	https://doaj.org/article/2413d97a401548cfb199f915ef3483c9
work_keys_str_mv	AT xinwang publicdiscourseandsocialnetworkechochambersdrivenbysociocognitivebiases AT antoniodsirianni publicdiscourseandsocialnetworkechochambersdrivenbysociocognitivebiases AT shaotingtang publicdiscourseandsocialnetworkechochambersdrivenbysociocognitivebiases AT zhimingzheng publicdiscourseandsocialnetworkechochambersdrivenbysociocognitivebiases AT fengfu publicdiscourseandsocialnetworkechochambersdrivenbysociocognitivebiases
_version_	1718392962056978432

Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases

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