This study examines algorithm effects on user opinion, utilizing a real-world recommender algorithm of a highly popular video-sharing platform, YouTube. We experimentally manipulate user search/watch history by our custom programming. A controlled laboratory experiment is then conducted to examine whether exposure to algorithmically recommended content reinforces and polarizes political opinions. Results suggest that political self-reinforcement, as indicated by the political emotion-ideology alignment, and affective polarization are heightened by political videos – selected by the YouTube recommender algorithm – based on participants’ own search preferences. Suggestions for how to reduce algorithm-induced political polarization and implications of algorithmic personalization for democracy are discussed.

The early apprehensions about how deepfakes (also deep fakes) could be weaponized for social and political purposes are now coming to pass. This study is one of the first to examine the social impact of deepfakes. Using an online survey sample in the United States, this study investigates the relationship between citizen concerns regarding deepfakes, exposure to deepfakes, inadvertent sharing of deepfakes, the cognitive ability of individuals, and social media news skepticism. Results suggest that deepfakes exposure and concerns are positively related to social media news skepticism. In contrast, those who frequently rely on social media as a news platform are less skeptical. Higher cognitive abled individuals are more skeptical of news on social media. The moderation findings suggest that among those who are more concerned about deepfakes, inadvertently sharing a deepfake is associated with heightened skepticism. However, these patterns are more pronounced among low than high cognitive individuals.

Background: Social media is widely used as a source of news and information regarding COVID-19. However, the abundance of misinformation on social media platforms has raised concerns regarding the spreading infodemic. Accordingly, many have questioned the utility and impact of social media news use on users’ engagement with (mis)information. Objective: This study offers a conceptual framework for how social media news use influences COVID-19 misinformation engagement. More specifically, we examined how news consumption on social media leads to COVID-19 misinformation sharing by inducing belief in such misinformation. We further explored if the effects of social media news use on COVID-19 misinformation engagement depend on individual differences in cognition and personality traits. Methods: We used data from an online survey panel administered by a survey agency (Qualtrics) in Singapore. The survey was conducted in March 2022, and 500 respondents answered the survey. All participants were older than 21 years and provided consent before taking part in the study. We used linear regression, mediation, and moderated mediation analyses to explore the proposed relationships between social media news use, cognitive ability, personality traits, and COVID-19 misinformation belief and sharing intentions. Results: The results suggested that those who frequently used social media for news consumption were more likely to believe COVID-19 misinformation and share it on social media. Further probing the mechanism suggested that social media news use translated into sharing intent via the perceived accuracy of misinformation. Simply put, social media news users shared COVID-19 misinformation because they believed it to be accurate. We also found that those with high levels of extraversion than those with low levels were more likely to perceive the misinformation to be accurate and share it. Those with high levels of neuroticism and openness than those with low levels were also likely to perceive the misinformation to be accurate. Finally, it was observed that personality traits did not significantly influence misinformation sharing at higher levels of cognitive ability, but low cognitive users largely drove misinformation sharing across personality traits. Conclusions: The reliance on social media platforms for news consumption during the COVID-19 pandemic has amplified, with dire consequences for misinformation sharing. This study shows that increased social media news consumption is associated with believing and sharing COVID-19 misinformation, with low cognitive users being the most vulnerable. We offer recommendations to newsmakers, social media moderators, and policymakers toward efforts in limiting COVID-19 misinformation propagation and safeguarding citizens.

This study investigates the antecedents of advertent (intentional) deepfakes sharing behavior. Data from two countries (US and Singapore) reveal that social media news use and FOMO are positively associated with intentional deep fakes sharing. Those with lower cognitive ability exhibit higher levels of FOMO and increased sharing behavior. FOMO also has a positive mediation effect on the association among citizens’ news use and sharing of deep fakes. Moderated mediation suggests that the indirect effects of social media news use on advertent sharing through FOMO are more substantial for low than high cognitive individuals. Theoretical implications of the results are discussed.

This study examines the relationship between social media use, disease risk perception, social and political trust, and out-group stereotyping and prejudice during a social upheaval. Analyses of primary data collected during the COVID-19 outbreak in Singapore found that disease risk perception is positively related to stereotyping and prejudice against Chinese immigrants. Individuals who used social media for news were more likely to stereotype and express prejudice. However, those who engaged in frequent heterogenous discussions, and had more extensive social networks, were less likely to stereotype and express prejudice. Higher social and political trust was also associated with lower stereotyping and prejudice. Finally, moderation effects of network characteristics on the relationship between risk perception, social trust, and prejudice were observed.

There are mounting concerns about the adverse effects of social media on the public understanding of the COVID-19 pandemic and its potential effects on vaccination coverage. Yet early studies have focused on generic social media use and been based on cross-sectional data limiting any causal inferences. This study is among the first to provide causal support for the speculation that social media news use leads to vaccine hesitancy among US citizens. This two-wave survey study was conducted in the US using Qualtrics online panel-based recruitment. We employ mediation and moderated mediation analyses to test our assumptions. The results suggest that using social media to consume news content can translate into vaccine hesitancy by increasing citizens’ skepticism regarding the efficacy of vaccines. However, these effects are contingent upon the news literacy of users, as the effects on vaccine hesitancy are more substantial among those with lower news literacy. The current study recommends to public policymakers and vaccine communication strategists that any attempt to reduce vaccine hesitancy in society should factor in the adverse effects of social media news use that can increase vaccine safety concerns.