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Metacognition biases information seeking in assessing ambiguous news
PsychologyCommunications Psychology

Metacognition biases information seeking in assessing ambiguous news

V. Guigon, M. C. Villeval, et al.

In a controlled experiment, participants judged ambiguous news and decided whether to seek extra information; confidence did not predict accuracy but was the main driver of demand for more information. News imprecision and polarization led to confident misinterpretations, and structural equation modeling showed disambiguation efforts became less effective. Research conducted by Valentin Guigon, Marie Claire Villeval, and Jean-Claude Dreher.... show more
Abstract
In a controlled experiment, participants evaluated the veracity of ambiguous news and decided whether to seek extra information. Confidence in their veracity judgments did not predict accuracy, showing limited metacognitive ability when facing ambiguous news. Despite this, confidence in one's judgment was the primary driver of the demand for additional information about the news. Lower confidence predicted a stronger desire for extra information, regardless of the veracity judgment. Two key news characteristics led individuals to confidently misinterpret both true and fake news. News imprecision and news tendency to polarize opinions increased the likelihood of misjudgment, highlighting individuals' vulnerability to ambiguity. Structural equation modeling revealed that the demand for disambiguating information, driven by uncalibrated metacognition, became increasingly ineffective as individuals are drawn in by the ambiguity of the news. Our results underscore the importance of metacognitive abilities in mediating the relationship between assessing ambiguous information and the decision to seek or avoid more information.
Publisher
Communications Psychology
Published On
Dec 19, 2024
Authors
Valentin Guigon, Marie Claire Villeval, Jean-Claude Dreher
Tags
metacognitionambiguous newsinformation-seekingconfidence-accuracy dissociationnews imprecisionpolarizationstructural equation modeling
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