The Dark Triad traits predict authoritarian political correctness and alt-right attitudes
Representative Studies & Themes
- The Psychology of Conspiracy Theories (Douglas, Sutton, Cichocka, et al., 2017)
A widely cited review that organizes psychological motives behind conspiracy beliefs into three categories: epistemic (desire for understanding), existential (need for control / security), and social (desire to maintain a positive image of self or group). (PMC)
It also notes that while many studies focus on correlates, fewer examine the outcomes or whether conspiracy belief actually satisfies those motives. - Belief in conspiracy theories: Basic principles (van Prooijen & van Lange, 2018)
This paper outlines foundational principles in the study of conspiracy beliefs: that they are consequential, universal, emotional, and social. (PMC)
It also reviews how early work emphasized demographic correlates (e.g. political affiliation, minority status) before shifting toward psychological and cognitive explanations. - On modeling the correlates of conspiracy thinking (Enders et al., 2023)
This study examines the relationship between a general predisposition toward conspiracy thinking and 34 different psychological, social, and political characteristics. (Nature)
It helps clarify which traits or conditions tend to be more robust predictors when considered together, rather than in isolation. - On the Viability of Conspiratorial Beliefs (Grimes, 2016, PLOS One)
This is a more formal / mathematical modeling approach: Grimes develops a model for multi-actor conspiracies over time, estimating the probability of success vs failure and highlighting systemic fragility in conspiracy designs. (PLOS) - Review: How social identity shapes conspiratorial belief (Robertson et al., 2022)
This review explores how threats to one’s social identity (racial, political, cultural) can fuel susceptibility to conspiracy theories. (ScienceDirect) - Paranoia and conspiracy thinking (Greenburgh et al., 2022)
This work explores the overlap between paranoia and conspiratorial thinking, noting shared risk factors such as social isolation, victimization, and structural inequality. (ScienceDirect) - The “recognition,” “belief,” and “action” regarding conspiracy theories (Murayama et al., 2025, forthcoming / preprint)
This study breaks down the process of conspiracy engagement into stages: recognizing conspiratorial content, believing it, and then taking action (e.g. spreading or acting on it). It uses large samples from the U.S. and Japan to test predictors at each stage. (arXiv) - Early linguistic fingerprints of online users who engage with conspiracy communities (Corso et al., 2025, preprint)
This recent work examines how linguistic markers in online behavior can predict who will join conspiratorial communities—even before they overtly engage. It suggests a “pre-existing conspiratorial mindset.” (arXiv) - Have beliefs in conspiracy theories increased over time? (Uscinski et al., 2022)
This empirical investigation examines whether conspiracy belief prevalence has actually risen, countering assumptions. They find only weak evidence for large temporal increases. (PLOS) - Conspiracy theories in societal crisis (van Prooijen, 2017)
This work connects periods of social stress or crisis (e.g. wars, pandemics) with spikes in conspiracy belief, arguing that such times amplify the psychological needs (control, uncertainty reduction) that conspiracies seem to address. (SAGE Journals)
Themes & Takeaway Patterns
- Motivational / Psychological Drivers
Many theorists view conspiracy belief as driven by underlying needs (e.g. making sense of complex events, reasserting control, protecting self- or group-esteem). (PMC) - Cognitive & Information Processing
Some studies look at heuristics, biases, reasoning styles (e.g. probabilistic vs intuitive thinking) and how they correlate with conspiratorial predispositions. (See also work pointing to “actively open-minded thinking” and probabilistic reasoning as predictors) (Taylor & Francis Online) - Social Identity, Threat & Group Conflict
Conspiratorial thinking often interacts with threats to identity—if a person’s group feels marginalized or threatened, conspiracy beliefs may provide a narrative that explains and resists that threat. (ScienceDirect) - Structural / Contextual Catalysts
In times of crisis, uncertainty, or inequality, conspiracy beliefs often intensify, partly because they offer a narrative when institutions seem opaque or failing. (SAGE Journals) - Outcomes, Behavior & Consequences
Some research links conspiracy beliefs to downstream effects, like support for political violence, distrust in institutions, refusal of public health measures, and polarization. (Misinformation Review) - Temporal & Predictive Modelling
Recent studies try to parse how conspiracy beliefs evolve (what onset looks like), how stable they are, and which predictors are more potent in multivariate settings. (arXiv)
Recent Empirical & Theoretical Studies
| Title | Authors / Year | Main Focus & Findings | Relevance / Notes |
|---|---|---|---|
| Conspiratorial thinking in a 50-state survey of American public opinion | Perlis et al., 2025 | A broad U.S. survey examining “conspiratorial thoughts” as a cognitive trait across states, exploring variation across demographic and political lines. (ScienceDirect) | Moves beyond case studies or small samples; approximates what a large, cross-sectional study looks like in this area. |
| Conspiracy beliefs and majority influence | Pummerer, 2024 | Investigates whether people who endorse conspiracy theories are more or less susceptible to majority influence. They find no significant moderation by conspiracy belief. (Taylor & Francis Online) | Challenges assumptions about how “stubborn” conspiratorial thinkers are in social settings. |
| The Appraisal Model of Conspiracy Theories (AMCT) | Pummerer, 2025 | Offers a theoretical model (AMCT) that frames conspiracy belief in terms of appraisal processes (i.e. how people evaluate events, threats, agency). (PMC) | Provides a refined cognitive / appraisal lens, which may complement or contrast with the methods in the article you linked. |
| Understanding conspiratorial thinking (CT) within public health / policy contexts | Tam et al., 2023 | Defines CT as a propensity to interpret events as secret plots, and examines how that mindset interacts with public policy, trust, and information. (ScienceDirect) | Particularly relevant if your interest is in how conspiratorial thinking affects public responses to policy, institutions, or crisis. |
| Belief in conspiracy theories that differ in evil intentions | Harmon-Jones et al., 2024 | Explores how trait anger correlates with conspiratorial beliefs, especially when perceived conspirators are assigned “evil” motives. (ScienceDirect) | Adds nuance to the emotional / personality predictors of conspiracy belief. |
| Conspiracy beliefs in the context of a comprehensive rationality / cognitive model | Stanovich et al., 2025 | Attempts to place conspiratorial thinking within broader rationality / cognitive frameworks (e.g. reasoning styles). (Taylor & Francis Online) | Useful if you want to see conspiratorial thinking in the context of “normal” cognition, rather than as an outlier phenomenon. |
| The Status Foundations of Conspiracy Beliefs | Roscigno et al., 2024 | Examines how socioeconomic status relates nonlinearly (U-shaped relationship) to conspiracy beliefs. (SAGE Journals) | Helps connect social stratification and status dynamics to conspiratorial thinking. |
| The relationship between conspiracy theory beliefs and political violence | Enders, Klofstad, Uscinski, 2024 | Tests associations between different conspiracy beliefs and measures of violence (attitudinal support, self-report, etc.), across ~44 different conspiracy theories. (Misinformation Review) | Strongly relevant for understanding real-world consequences of conspiracy beliefs. |
| Conspiratorial thinking and the long historical shadow of conspiracy theories | Smallpage et al., 2023 | Provides a historical and conceptual overview of what distinguishes conspiracy theories from other belief types, to clarify the concept’s boundaries. (Frontiers) | Helps with theoretical clarity (definitional issues) which is often a challenge in empirical work. |
| Within-person stability of conspiracy beliefs over time | William et al., 2024 | Longitudinal (6 months, monthly data) on belief in conspiracy theories in a sample of ~498 people; finds that between-person differences dominate, while within-person variation is low (intraclass r ≈ 0.91). (Nature) | Indicates that conspiracy belief is relatively stable in individuals over time—important for thinking about interventions or causal models. |
| AI dialog & persuasive interventions reducing conspiracy belief | Costello et al., 2024 | Experimental work showing that AI-guided dialogue (tailored counterarguments + interactive conversations) produced measurable reductions in conspiracy beliefs that persisted over months. (Science) | Suggests intervention strategies; interesting as a contrast to typical static survey / correlational work. |
| The “recognition,” “belief,” and “action” regarding conspiracy theories | Murayama et al., 2025 (preprint) | Conceptualizes conspiracy engagement in stages (recognition → belief → action) and examines predictors of transitions across those stages in U.S. and Japan. (arXiv) | This staged model helps parse the dynamics of how conspiratorial thinking moves from passive awareness to active behavior. |