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University of Tennessee at Chattanooga

Decoding belief: neural mechanisms of conspiracy message evaluation

Abstract

dc:description.abstract

Conspiracy theories present emotionally salient and socially consequential information that may influence credibility evaluation, particularly in online environments where social cues are prevalent. Although behavioral predictors of conspiracy belief have been widely studied, little is known about the neural mechanisms underlying credibility evaluation. The present study used electroencephalography (EEG) and event-related potentials (ERPs) to examine neural responses during a conspiracy message evaluation task under varying social credibility conditions (high, ambiguous, individual). Participants evaluated conspiracy and true messages while EEG was recorded, and resting-state frontal alpha asymmetry was assessed. Conspiracy messages elicited greater right-frontal LPP amplitudes than true messages, indicating enhanced regulatory engagement. Social credibility modulated sustained attention (P3) and regulatory processing (LPP), and resting frontal alpha asymmetry predicted LPP amplitudes. These findings inform an Integrated Regulatory-Motivational Model of Credibility Evaluation.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga
Year dc:date.available
2027

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Daugherty, Hannah C
Contributors dc:contributor
  • Wilhelm, Ricardo
  • Teaford, Max; Heise, Sarah
  • College of Arts and Sciences

Subjects

dc:subject × 3

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/1072
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-2259

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Daugherty, Hannah C. Decoding belief: neural mechanisms of conspiracy message evaluation. University of Tennessee at Chattanooga, 2027. https://scholar.utc.edu/theses/1072