The political, psychological, and social correlates of cryptocurrency ownership.

Cryptocurrency is a digital asset secured by cryptography that has become a popular medium of exchange and investment known for its anonymous transactions, unregulated markets, and volatile prices. Given the popular subculture of traders it has created, and its implications for financial markets and monetary policy, scholars have recently begun to examine the political, psychological, and social characteristics of cryptocurrency investors. A review of the existing literature suggests that cryptocurrency owners may possess higher-than-average levels of nonnormative psychological traits and exhibit a range of non-mainstream political identities. However, this extant literature typically employs small nonrepresentative samples of respondents and examines only a small number of independent variables in each given study. This presents the opportunity for both further testing of previous findings as well as broader exploratory analyses including more expansive descriptive investigations of cryptocurrency owners. To that end, we polled 2,001 American adults in 2022 to examine the associations between cryptocurrency ownership and individual level political, psychological, and social characteristics. Analyses revealed that 30% of our sample have owned some form of cryptocurrency and that these individuals exhibit a diversity of political allegiances and identities. We also found that crypto ownership was associated with belief in conspiracy theories, "dark" personality characteristics (e.g., the "Dark Tetrad" of narcissism, Machiavellianism, psychopathy, and sadism), and more frequent use of alternative and fringe social media platforms. When examining a more comprehensive multivariate model, the variables that most strongly predict cryptocurrency ownership are being male, relying on alternative/fringe social media as one's primary news source, argumentativeness, and an aversion to authoritarianism. These findings highlight numerous avenues for future research into the people who buy and trade cryptocurrencies and speak to broader global trends in anti-establishment attitudes and nonnormative behaviors.

The Relationship Between Social Media Use and Beliefs in Conspiracy Theories and Misinformation.

Numerous studies find associations between social media use and beliefs in conspiracy theories and misinformation. While such findings are often interpreted as evidence that social media causally promotes conspiracy beliefs, we theorize that this relationship is conditional on other individual-level predispositions. Across two studies, we examine the relationship between beliefs in conspiracy theories and media use, finding that individuals who get their news from social media and use social media frequently express more beliefs in some types of conspiracy theories and misinformation. However, we also find that these relationships are conditional on conspiracy thinking--the predisposition to interpret salient events as products of conspiracies--such that social media use becomes more strongly associated with conspiracy beliefs as conspiracy thinking intensifies. This pattern, which we observe across many beliefs from two studies, clarifies the relationship between social media use and beliefs in dubious ideas. Supplementary Information: The online version contains supplementary material available at 10.1007/s11109-021-09734-6.

How Anti-Social Personality Traits and Anti-Establishment Views Promote Beliefs in Election Fraud, QAnon, and COVID-19 Conspiracy Theories and Misinformation.

Conspiracy theories and misinformation (CTM) became a salient feature of the Trump era. However, traditional explanations of political attitudes and behaviors inadequately account for beliefs in CTM or the deleterious behaviors they are associated with. Here, we integrate disparate literatures to explain beliefs in CTM regarding COVID-19, QAnon, and voter fraud. We aim to provide a more holistic accounting, and to determine which political, psychological, and social factors are most associated with such beliefs. Using a unique national survey, we find that anti-social personality traits, anti-establishment orientations, and support for Donald Trump are more strongly related to beliefs in CTM than traditional left-right orientations or other frequently posited factors, such as education, science literacy, and social media use. Our findings encourage researchers to move beyond the traditional correlates of political behavior when examining beliefs that express anti-social tendencies or a deep skepticism of social and political institutions.

Sociopolitical and psychological correlates of COVID-19 vaccine hesitancy in the United States during summer 2021.

Vaccine hesitancy and refusal continue to hamper COVID-19 control efforts. Throughout the pandemic, scientists and journalists have attributed lagging COVID-19 vaccination rates to a shifting set of factors including demography, experiences during the height of the pandemic, political views, and beliefs in conspiracy theories and misinformation, among others. However, these factors have rarely been tested comprehensively, in tandem, or alongside other potentially underlying psychological factors, thus limiting our understanding of COVID-19 vaccine hesitancy. This cross-sectional study assesses a diverse set of correlates of COVID-19 vaccine hesitancy identified in previous studies using US survey data (N = 2055) collected in July-August 2021. The survey contained modules designed to assess various sociopolitical domains and anti- and pro-social personality characteristics hypothesized to shape vaccine hesitancy. Using logistic and multinomial regression, we found that the strongest correlate of vaccine hesitancy was belief in misinformation about the COVID-19 vaccines, though we surmise that this common explanation may be endogenous to vaccine hesitancy. Political beliefs explained more variation in vaccine hesitancy-and in particular, vaccine refusal-after belief in COVID-19 vaccine misinformation was excluded from the analysis. Our findings help reconcile numerous disparate findings across the literature with implications for health education and future research.