Social Media Can Reduce Misinformation When Public Scrutiny is High

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Wang, Gavin, Qin, Haofei, Tang, Xiao, Wu, Lynn
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866908414614962176
author Wang, Gavin
Qin, Haofei
Tang, Xiao
Wu, Lynn
author_facet Wang, Gavin
Qin, Haofei
Tang, Xiao
Wu, Lynn
contents Misinformation poses a growing global threat to institutional trust, democratic stability, and public decision-making. While prior research has often portrayed social media as a channel for spreading falsehoods, less is known about the conditions under which it may instead constrain misinformation by enhancing transparency and accountability. Here we show this dual potential in the context of local governments' GDP reporting in China, where data falsifications are widespread. Analyzing official reports from 2011 to 2019, we find that local governments have overstated GDP on average. However, after adopting social media for public communications, the extent of misreporting declines significantly but only in regions where the public scrutiny over political matters is high. In such regions, social media increases the cost of misinformation by facilitating greater information disclosure and bottom-up monitoring. In contrast, in regions with low public scrutiny, adopting social media can exacerbate data manipulation. These findings challenge the prevailing view that social media primarily amplifies misinformation and instead highlight the importance of civic engagement as a moderating force. Our findings show a boundary condition for the spread of misinformation and offer insights for platform design and public policy aimed at promoting accuracy and institutional accountability.
format Preprint
id arxiv_https___arxiv_org_abs_2506_16355
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Social Media Can Reduce Misinformation When Public Scrutiny is High
Wang, Gavin
Qin, Haofei
Tang, Xiao
Wu, Lynn
General Economics
Economics
Misinformation poses a growing global threat to institutional trust, democratic stability, and public decision-making. While prior research has often portrayed social media as a channel for spreading falsehoods, less is known about the conditions under which it may instead constrain misinformation by enhancing transparency and accountability. Here we show this dual potential in the context of local governments' GDP reporting in China, where data falsifications are widespread. Analyzing official reports from 2011 to 2019, we find that local governments have overstated GDP on average. However, after adopting social media for public communications, the extent of misreporting declines significantly but only in regions where the public scrutiny over political matters is high. In such regions, social media increases the cost of misinformation by facilitating greater information disclosure and bottom-up monitoring. In contrast, in regions with low public scrutiny, adopting social media can exacerbate data manipulation. These findings challenge the prevailing view that social media primarily amplifies misinformation and instead highlight the importance of civic engagement as a moderating force. Our findings show a boundary condition for the spread of misinformation and offer insights for platform design and public policy aimed at promoting accuracy and institutional accountability.
title Social Media Can Reduce Misinformation When Public Scrutiny is High
topic General Economics
Economics
url https://arxiv.org/abs/2506.16355