2020
DOI: 10.31234/osf.io/3kgq9
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Aging in an “infodemic”: The role of cognition, affect, and experience on news veracity detection during the COVID-19 pandemic

Abstract: Increasing misinformation spread, including related to COVID-19, is concerning and poses a particular threat to older adults given their enhanced subjective risk perception, disease-related risk, and impaired decision making. To date, psychological factors contributing to news veracity detection in aging are not well understood. This study determined the role of (i) analytical reasoning; (ii) mood; and (iii) news consumption on real and fake news detection among older adults during the COVID-19 pandemic; and e… Show more

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Cited by 3 publications
(2 citation statements)
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References 76 publications
(96 reference statements)
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“…Studies that have assessed the relationship between age and news veracity discernment have generally found them to be significantly negatively correlated, which is precisely what was found in the present study (Brashier & Schacter, 2020;Guess et al, 2019;Pehlivanoglu et al, 2021). This finding may be due to an age-related decline in various cognitive abilities, such as executive control and attention (Verhaeghen & Cerella, 2002).…”
Section: The Demographic Predictors Of News Veracity Discernmentsupporting
confidence: 86%
“…Studies that have assessed the relationship between age and news veracity discernment have generally found them to be significantly negatively correlated, which is precisely what was found in the present study (Brashier & Schacter, 2020;Guess et al, 2019;Pehlivanoglu et al, 2021). This finding may be due to an age-related decline in various cognitive abilities, such as executive control and attention (Verhaeghen & Cerella, 2002).…”
Section: The Demographic Predictors Of News Veracity Discernmentsupporting
confidence: 86%
“…Our study, like the majority of previous work, focused on a rather homogeneous (e.g., in terms of race/ethnicity and age) sample. Based on growing evidence that sensitivity for detection of deceptive cues decreases with chronological age (Ebner et al, 2020;Grilli et al, in press;Zebrowitz, Ward, Boshyan, Gutchess, & Hadjikhani, 2018) as well as varies by gender and marital status (Alves & Wilson, 2008), education (Wood, Liu, Hanoch, Xi, & Klapatch, 2018), and income (James, Boyle, & Bennett, 2014), we propose examining fake news detection using more diverse samples to move this research forward (Pehlivanoglu et al, 2020). For example, older compared to younger individuals were more likely to share fake news (Grinberg, Joseph, Friedland, Swire-Thompson, & Lazer, 2019;Guess et al, 2019).…”
Section: Future Research Directionsmentioning
confidence: 99%