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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Main Authors: Xin Wang, Antonio D. Sirianni, Shaoting Tang, Zhiming Zheng, Feng Fu
Format: Article
Language:English
Published: American Physical Society 2020-12-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.10.041042
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spelling doaj-2413d97a401548cfb199f915ef3483c92021-02-12T00:11:53ZengAmerican Physical SocietyPhysical Review X2160-33082020-12-0110404104210.1103/PhysRevX.10.041042Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive BiasesXin WangAntonio D. SirianniShaoting TangZhiming ZhengFeng FuIn 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.http://doi.org/10.1103/PhysRevX.10.041042
collection DOAJ
language English
format Article
sources DOAJ
author Xin Wang
Antonio D. Sirianni
Shaoting Tang
Zhiming Zheng
Feng Fu
spellingShingle Xin Wang
Antonio D. Sirianni
Shaoting Tang
Zhiming Zheng
Feng Fu
Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
Physical Review X
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
series Physical Review X
issn 2160-3308
publishDate 2020-12-01
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.
url http://doi.org/10.1103/PhysRevX.10.041042
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