Reshares on social media amplify political news but do not detectably affect beliefs or opinions DOI Open Access
Andrew M. Guess, Neil Malhotra, Jennifer Pan

et al.

Science, Journal Year: 2023, Volume and Issue: 381(6656), P. 404 - 408

Published: July 27, 2023

We studied the effects of exposure to reshared content on Facebook during 2020 US election by assigning a random set consenting, US-based users feeds that did not contain any reshares over 3-month period. find removing substantially decreases amount political news, including from untrustworthy sources, which are exposed; overall clicks and reactions; reduces partisan news clicks. Further, we observe produces clear in knowledge within sample, although there is some uncertainty about how this would generalize all users. Contrary expectations, treatment does significantly affect polarization or measure individual-level attitudes.

Language: Английский

Spread of misinformation on social media: What contributes to it and how to combat it DOI
Sijing Chen, Lu Xiao,

Akit Kumar

et al.

Computers in Human Behavior, Journal Year: 2022, Volume and Issue: 141, P. 107643 - 107643

Published: Dec. 28, 2022

Language: Английский

Citations

98

Research note: Fighting misinformation or fighting for information? DOI Creative Commons
Alberto Acerbi,

Sacha Altay,

Hugo Mercier

et al.

Published: Jan. 12, 2022

A wealth of interventions have been devised to reduce belief in fake news or the tendency share such news. By contrast, aimed at increasing trust reliable sources received less attention. In this article we show that, given very limited prevalence misinformation (including news), reducing acceptance spread are bound small effects on overall quality information environment, especially compared sources. To make argument, simulate effect that a global score, which increases when people accept and decreases misinformation.

Language: Английский

Citations

94

The ephemeral effects of fact-checks on COVID-19 misperceptions in the United States, Great Britain and Canada DOI Open Access
John M. Carey, Andrew M. Guess, Peter John Loewen

et al.

Nature Human Behaviour, Journal Year: 2022, Volume and Issue: 6(2), P. 236 - 243

Published: Feb. 3, 2022

Language: Английский

Citations

85

Examining the impact of sharing COVID-19 misinformation online on mental health DOI Creative Commons
Gaurav Verma, Ankur Bhardwaj, Talayeh Aledavood

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: May 16, 2022

Misinformation about the COVID-19 pandemic proliferated widely on social media platforms during course of health crisis. Experts have speculated that consuming misinformation online can potentially worsen mental individuals, by causing heightened anxiety, stress, and even suicidal ideation. The present study aims to quantify causal relationship between sharing misinformation, a strong indicator experiencing exacerbated anxiety. We conduct large-scale observational spanning over 80 million Twitter posts made 76,985 users an 18.5 month period. results from this demonstrate who shared experienced approximately two times additional increase in anxiety when compared similar did not share misinformation. Socio-demographic analysis reveals women, racial minorities, individuals with lower levels education United States disproportionately higher other users. These findings shed light costs work bears practical implications for curbing adverse psychological impacts while also upholding ethos public sphere.

Language: Английский

Citations

82

Reshares on social media amplify political news but do not detectably affect beliefs or opinions DOI Open Access
Andrew M. Guess, Neil Malhotra, Jennifer Pan

et al.

Science, Journal Year: 2023, Volume and Issue: 381(6656), P. 404 - 408

Published: July 27, 2023

We studied the effects of exposure to reshared content on Facebook during 2020 US election by assigning a random set consenting, US-based users feeds that did not contain any reshares over 3-month period. find removing substantially decreases amount political news, including from untrustworthy sources, which are exposed; overall clicks and reactions; reduces partisan news clicks. Further, we observe produces clear in knowledge within sample, although there is some uncertainty about how this would generalize all users. Contrary expectations, treatment does significantly affect polarization or measure individual-level attitudes.

Language: Английский

Citations

82