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conspiracy theory

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Definition

Conspiracy theory refers to false or misleading information that runs counter to formal logic, objective evidence, or an established scientific consensus. Research has identified variables predictive of belief in conspiracy theories and has proposed a range of interventions aimed at reducing such belief. A central methodological concern in this literature is whether observed associations between exposure to conspiracy theories and subsequent outcomes can be treated as causal, given that laboratory experiments are constrained by ethics and feasibility, and observational studies frequently produce unjustified causal conclusions. The most consequential effects of conspiracy theories may arise not from isolated exposures in time-constrained experiments but from extended periods of repeated exposure through ostensibly trusted media sources. Addressing these questions rigorously requires applying a counterfactual framework of causality alongside methods such as instrumental variable analysis, regression discontinuity design, difference-in-differences, and synthetic control.

Sources: Tay et al. (2024)

Related Terms

Applications

Conspiracy Theory and Causal Inference

Psychological research on conspiracy theories has historically relied on laboratory experiments and observational studies with third-variable adjustment, neither of which fully satisfies the demands of causal reasoning. Adopting the counterfactual framework, which defines a causal effect as the difference in outcomes between a world where an individual is exposed to a conspiracy theory and one where exposure is absent, allows researchers to specify theoretical quantities independently of any particular study design. Natural experiment approaches, including instrumental variable analysis and regression discontinuity design, extend the ability to draw causal conclusions to real-world settings where randomization is not possible.

Sources: Tay et al. (2024)

Conspiracy Theory and Misinformation

Conspiracy theories are treated within the literature as a closely related category alongside misinformation, with both defined as false or misleading content running counter to evidence or scientific consensus. Debate persists over whether such content is a symptom of prior societal conditions or itself a cause of downstream individual and societal outcomes, a question that a formal counterfactual definition of causality is equipped to address. The two literatures share an overlapping set of interventions, predictive variables, and methodological challenges, making integration across them a recognized goal for the field.

Sources: Tay et al. (2024)

Research Articles