Depolarization of opinions on social networks through random nudges

Fuente: arXiv
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Autori principali: Pal, Ritam, Kumar, Aanjaneya, Santhanam, M. S.
Natura: Preprint
Pubblicazione: 2022
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author Pal, Ritam
Kumar, Aanjaneya
Santhanam, M. S.
author_facet Pal, Ritam
Kumar, Aanjaneya
Santhanam, M. S.
contents Polarization of opinions has been empirically noted in many online social network platforms. Traditional models of opinion dynamics, based on statistical physics principles, do not account for the emergence of polarization and echo chambers in online network platforms. A recently introduced opinion dynamics model that incorporates the homophily factor -- the tendency of agents to connect with those holding similar opinions as their own -- captures polarization and echo chamber effects. In this work, we provide a non-intrusive framework for mildly nudging agents in an online community to form random connections. This is shown to lead to significant depolarization of opinions and decrease the echo chamber effects. Remarkably, even a mild nudge is seen to be effective in avoiding polarization, though a large nudge leads to another undesirable effect, namely, radicalization. Further, we obtain the optimal nudge factor to avoid the extremes of polarization and radicalization outcomes.
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publishDate 2022
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spellingShingle Depolarization of opinions on social networks through random nudges
Pal, Ritam
Kumar, Aanjaneya
Santhanam, M. S.
Physics and Society
Polarization of opinions has been empirically noted in many online social network platforms. Traditional models of opinion dynamics, based on statistical physics principles, do not account for the emergence of polarization and echo chambers in online network platforms. A recently introduced opinion dynamics model that incorporates the homophily factor -- the tendency of agents to connect with those holding similar opinions as their own -- captures polarization and echo chamber effects. In this work, we provide a non-intrusive framework for mildly nudging agents in an online community to form random connections. This is shown to lead to significant depolarization of opinions and decrease the echo chamber effects. Remarkably, even a mild nudge is seen to be effective in avoiding polarization, though a large nudge leads to another undesirable effect, namely, radicalization. Further, we obtain the optimal nudge factor to avoid the extremes of polarization and radicalization outcomes.
title Depolarization of opinions on social networks through random nudges
topic Physics and Society
url https://arxiv.org/abs/2212.06920