Evidence map›Paper›PMID 37221359›Full record

ArticleScientific reports2023

On modeling the correlates of conspiracy thinking.

Adam M Enders, Amanda Diekman, Casey Klofstad, Manohar Murthi, Daniel Verdear, Stefan Wuchty, Joseph Uscinski

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Adam M EndersDepartment of Political Science, University of Louisville, Louisville, KY, 40292, USA.
Amanda DiekmanDepartment of Psychology, Indiana University, Bloomington, IN, 47405, USA.
Casey KlofstadDepartment of Political Science, University of Miami, Coral Gables, FL, 33146, USA.
Manohar MurthiDepartment of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, 33146, USA.
Daniel VerdearDepartment of Computer Science, University of Miami, Coral Gables, FL, 33146, USA.
Stefan WuchtyDepartment of Computer Science, University of Miami, Coral Gables, FL, 33146, USA.ORCID 0000-0001-8916-6522
Joseph UscinskiDepartment of Political Science, University of Miami, Coral Gables, FL, 33146, USA. uscinski@miami.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Antisocial Personality DisorderMachine LearningAdultGenotypeHumansNarcissismSalaries and Fringe Benefits

Identifiers

PMID37221359
PMCPMC10204035

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.