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Despite hundreds of studies examining belief in conspiracy theories, it is still unclear who—demographically—is most likely to believe such theories. To remedy this knowledge gap, we examine survey data containing various operationalizations of conspiracism across diverse sociopolitical contexts. Study 1 employs a 2021 U.S. survey (n = 2021) to examine associations between sociodemographic characteristics and beliefs in 39 conspiracy theories. Study 2 similarly employs a survey of 20 countries (n = 26,416) and 11 conspiracy theory beliefs. Study 3 reports results from a 2020 U.S. survey (n = 2015) measuring perceptions about which groups are engaging in conspiracies. Study 4 interrogates data from nine U.S. surveys (2012–2022; n = 14,334) to examine the relationships between sociodemographic characteristics and generalized conspiracy thinking. Study 5 synchronizes studies 1–4 to provide an intersectional analysis of conspiracy theory belief. Across studies, we observe remarkably consistent patterns: education, income, age (older), and White identification are negatively related to conspiracism, while Black identification is positively related. We conclude by discussing why conspiracy theories may appeal most to historically marginalized groups and how our findings can inform efforts to mitigate the negative effects of conspiracy theories.

 

We often assume that annotation tasks, such as annotating for the presence of conspiracy theories, can be annotated with hard labels, without definitions or guidelines. Our annotation experiments, comparing students and experts, show that there is little agreement on basic annotations even among experts. For this reason, we conclude that we need to accept disagreement as an integral part of such annotations. 

The “White Replacement” conspiracy theory, that governments and corporations are “replacing” white people, is linked to several mass shootings. Given its recent ubiquity in elite rhetoric, concerns have arisen about the popularity of this conspiracy theory among the United States mass public. Further, political scientists have noted a need to understand why people believe or act upon this conspiracy theory. Using a 2022 US national survey (n = 2001), we find that a third of Americans agree that leaders are replacing white people with people of color. These beliefs are related to anti-social personality traits, various forms of nationalist and authoritarian sentiments, and negative sentiments toward immigrants, minorities, women, and the political establishment. Regression analysis however fails to find significant effects of partisanship and ideology on these beliefs. Further, we observed that these beliefs are related to a desire to engage in both normative (e.g., run for political office) and nonnormative political participation (e.g., commit violence). Given the popularity of White Replacement conspiracy theories in the US and elsewhere, our findings suggest new avenues for research into potentially dangerous beliefs, as well as xenophobia, antisemitism, racism, sexism, extremism, and political violence. 

While a robust literature on the psychology of conspiracy theories has identified dozens of characteristics correlated with conspiracy theory beliefs, much less attention has been paid to understanding the generalized predisposition towards interpreting events and circumstances as the product of supposed conspiracies. Using a unique national survey of 2015 U.S. adults from October 2020, we investigate the relationship between this predisposition—conspiracy thinking—and 34 different psychological, political, and social correlates. Using conditional inference tree modeling—a machine learning-based approach designed to facilitate prediction using a flexible modeling methodology—we identify the characteristics that are most useful for orienting individuals along the conspiracy thinking continuum, including (but not limited to): anomie, Manicheanism, support for political violence, a tendency to share false information online, populism, narcissism, and psychopathy. Altogether, psychological characteristics are much more useful in predicting conspiracy thinking than are political and social characteristics, though even our robust set of correlates only partially accounts for variance in conspiracy thinking.

 

Some people share misinformation accidentally, but others do so knowingly. To fully understand the spread of misinformation online, it is important to analyze those who purposely share it. Using a 2022 U.S. survey, we found that 14 percent of respondents reported knowingly sharing misinformation, and that these respondents were more likely to also report support for political violence, a desire to run for office, and warm feelings toward extremists. These respondents were also more likely to have elevated levels of a psychological need for chaos, dark tetrad traits, and paranoia. Our findings illuminate one vector through which misinformation is spread.

 

Abstract Understanding the individual-level characteristics associated with conspiracy theory beliefs is vital to addressing and combatting those beliefs. While researchers have identified numerous psychological and political characteristics associated with conspiracy theory beliefs, the generalizability of those findings is uncertain because they are typically drawn from studies of only a few conspiracy theories. Here, we employ a national survey of 2021 U.S. adults that asks about 15 psychological and political characteristics as well as beliefs in 39 different conspiracy theories. Across 585 relationships examined within both bivariate (correlations) and multivariate (regression) frameworks, we find that psychological traits (e.g., dark triad) and non-partisan/ideological political worldviews (e.g., populism, support for violence) are most strongly related to individual conspiracy theory beliefs, regardless of the belief under consideration, while other previously identified correlates (e.g., partisanship, ideological extremity) are inconsistently related. We also find that the correlates of specific conspiracy theory beliefs mirror those of conspiracy thinking (the predisposition), indicating that this predisposition operates like an ‘average’ of individual conspiracy theory beliefs. Overall, our findings detail the psychological and political traits of the individuals most drawn to conspiracy theories and have important implications for scholars and practitioners seeking to prevent or reduce the impact of conspiracy theories. 

Like all organisms, aphids, plant sap-sucking insects that house a bacterial endosymbiont calledBuchnera, are members of a species interaction network. Ecological interactions across such networks can result in phenotypic change in network members mediated by molecular signals, like microRNAs. Here, we interrogated small RNA data from the aphid,Myzus persicae, to determine the source of reads that did not map to the aphid orBuchneragenomes. Our analysis revealed that the pattern was largely explained by reads that mapped to the host plant,Brassica oleracea, and a facultative symbiont,Regiella. To start elucidating the function of plant small RNA in aphid gut, we annotated 213 uniqueB. oleraceamiRNAs; 32/213 were present in aphid gut as mature and star miRNAs. Next, we predicted targets in theB. oleraceaandM. persicaegenomes for these 32 plant miRNAs. We found that plant targets were enriched for genes associated with transcription, while the distribution of targets in the aphid genome was similar to the functional distribution of all genes in the aphid genome. We discuss the potential of plant miRNAs to regulate aphid gene expression and the mechanisms involved in processing, export and uptake of plant miRNAs by aphids.

 

Although many insects are associated with obligate bacterial endosymbionts, the mechanisms by which these host/endosymbiont associations are regulated remain mysterious. While microRNAs (miRNAs) have been recently identified as regulators of host/microbe interactions, including host/pathogen and host/facultative endosymbiont interactions, the role miRNAs may play in mediating host/obligate endosymbiont interactions is virtually unknown. Here, we identified conserved miRNAs that potentially mediate symbiotic interactions between aphids and their obligate endosymbiont,Buchnera aphidicola. Using smallRNAsequence data fromMyzus persicaeandAcyrthosiphon pisum, we annotated 93M. persicaeand 89A. pisummiRNAs, among which 69 were shared. We found 14 miRNAs that were either highly expressed in aphid bacteriome, theBuchnera‐housing tissue, or differentially expressed in bacteriome vs. gut, a non‐Buchnera‐housing tissue. Strikingly, 10 of these 14 miRNAs have been implicated previously in other host/microbe interaction studies. Investigating the interaction networks of these miRNAs using a custom computational pipeline, we identified 103 miRNA::mRNAinteractions shared betweenM. persicaeandA. pisum. Functional annotation of the sharedmRNAtargets revealed only two over‐represented cluster of orthologous group categories: amino acid transport and metabolism, and signal transduction mechanisms. Our work supports a role for miRNAs in mediating host/symbiont interactions between aphids and their obligate endosymbiontBuchnera. In addition, our results highlight the probable importance of signal transduction mechanisms to host/endosymbiont coevolution.