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Accuracy in Spotting Misinformation about COVID-19: A Pilot Intervention and the Role of Political Affiliation

Description

In the past year, considerable misinformation about the COVID-19 pandemic has circulated on social media platforms. Faced with this pervasive issue, it is important to identify the extent to which people are able to spot misinformation on social media and ways to improve people’s accuracy in spotting misinformation. Therefore, the current study aims to investigate people’s accuracy in spotting misinformation, the effectiveness of a game-based intervention, and the role of political affiliation in spotting misinformation. In this study, 235 participants played a misinformation game in which they evaluated COVID-19-related tweets and indicated whether or not they thought each of the tweets contained misinformation. Misinformation accuracy was measured using game scores, which were based on the correct identification of misinformation. Findings revealed that participants’ beliefs about how accurate they are at spotting misinformation about COVID-19 did not predict their actual accuracy. Participants’ accuracy improved after playing the game, but democrats were more likely to improve than republicans.

ContributorsKang, Rachael (Author) / Kwan, Virginia (Thesis director) / Corbin, William (Committee member) / Cohen, Adam (Committee member) / Bunker, Cameron (Committee member) / Department of Psychology (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Beyond Screen Time: Relationships between Psychological Well-being and Self-Perceptions in Social Media versus Offline Contexts across Generations

Description

People express themselves differently on social media than in physical life. Some seem as if they were a different person on social media than offline. However, little research has tested whether the perceived similarity between offline and social media contexts is linked to psychological well-being. Whether people perceive themselves as similar between offline and social media contexts may contribute to understanding the links between social media use and psychological well-being. This dissertation addresses whether people perceive themselves as the same on social media as offline (Studies 1 and 2), whether this perceived similarity is linked to psychological well-being (Study 2), and the potential role of generation (Study 2)—focusing on comparisons between digital “natives” (Generation Z) and “immigrants” (Baby Boomers) who show different patterns of social media use. Across two studies of college student and online samples, participants completed measures of the Big Five personality traits specified for offline and social media contexts. Study 2 participants further completed measures of psychological well-being (e.g., depression, life satisfaction, self-esteem) and submitted records of their logged mobile phone use. Findings showed that across generations, people tend to view themselves as similar between offline and social media contexts but not the same in terms of their personality traits. Boomers actually perceived themselves as more similar between offline and social media than Gen Z, even when controlling for logged mobile phone use. Perceived similarity between offline and social media selves was not linked positively to psychological well-being (and there were small generation differences whereby the link appeared to be more negative in Gen Z relative to Boomers). The expectation that perceived similarity between offline and social media should be linked to positive outcomes in terms of psychological well-being may not apply to the context of social media, particularly for Gen Z. Studying psychology in offline and social media contexts separately and jointly will be important to understand the social well-being of the emerging digital world.

ContributorsBunker, Cameron (Author) / Kwan, Virginia (Thesis advisor) / Varnum, Michael (Committee member) / Kenrick, Douglas (Committee member) / Ha, Thao (Committee member) / Arizona State University (Publisher)

Created2023

Predicting Health Outcomes and Social Behaviors of Covid-19 Using Culture

Description

Archival data for 32 countries were collected and a bivariate correlational analysis was run to determine any correlations between the predictors (tightness and individualism) and predicted variables (health outcomes and social behaviors).

ContributorsHsu, Michael (Author) / Sau-Kwan, Virginia (Thesis director) / Mujica, Vladimiro (Committee member) / Bunker, Cameron (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor) / School of International Letters and Cultures (Contributor)

Created2022-05