2023
DOI: 10.1038/s41562-023-01564-2
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Exposure to untrustworthy websites in the 2020 US election

Abstract: Research using large-scale data on individuals' internet use has provided vital information about the scope and nature of exposure to misinformation online. However, most prior work relies on data collected during the 2016 US election. Here we examine exposure to untrustworthy websites during the 2020 US election, using over 7.5 million website visits from 1,151 American adults. We find that 26.2% (95% confidence interval 22.5% to 29.8%) of Americans were exposed to untrustworthy websites in 2020, down from 44… Show more

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Cited by 13 publications
(13 citation statements)
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References 46 publications
(93 reference statements)
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“…Most followers in the Modeling Sample are conservative (Figure 2), but there is a bimodal distribution similar to the 'v-shaped' distribution of fake news exposure in 2016 [19]. Misinformation exposure is right-skewed, and conservatives follow more misinformation spreaders than liberals (Figure 3).…”
Section: Modeling Samplementioning
confidence: 86%
See 3 more Smart Citations
“…Most followers in the Modeling Sample are conservative (Figure 2), but there is a bimodal distribution similar to the 'v-shaped' distribution of fake news exposure in 2016 [19]. Misinformation exposure is right-skewed, and conservatives follow more misinformation spreaders than liberals (Figure 3).…”
Section: Modeling Samplementioning
confidence: 86%
“…We also hypothesized that (H4) politically extreme users would be less likely to unfollow since ideological extremity is correlated with misinformation exposure [19]. But in 2020, extreme liberals decreased consumption of fake news [19]. And even in 2016, the top decile of conservatives had larger misinformation consumption than the top decile of liberals [8].…”
Section: Partisan Ideology Effect On Unfollowingmentioning
confidence: 98%
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“…False political information on social media is widespread (Moore et al, 2023; Vosoughi et al, 2018) and has the potential to severely harm individuals and society (House of Commons et al, 2019; Tucker et al, 2018; Zimmermann & Kohring, 2020). Social media users are key actors in the spreading of misleading or incorrect information, broadly termed misinformation (Caled & Silva, 2022).…”
mentioning
confidence: 99%