The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment.

Autor: Maertens R; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK. rm938@cam.ac.uk., Götz FM; Department of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC, V6T 1Z4, Canada., Golino HF; University of Virginia, Charlottesville, VA, USA., Roozenbeek J; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK., Schneider CR; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK., Kyrychenko Y; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK., Kerr JR; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK., Stieger S; Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria., McClanahan WP; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK.; Max Planck Institute for the Study of Crime, Security and Law, Freiburg im Breisgau, Germany., Drabot K; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK., He J; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK., van der Linden S; Department of Psychology, University of Cambridge, Downing Street, CB2 3EB, Cambridge, Cambridgeshire, UK.
Jazyk: angličtina
Zdroj: Behavior research methods [Behav Res Methods] 2024 Mar; Vol. 56 (3), pp. 1863-1899. Date of Electronic Publication: 2023 Jun 29.
DOI: 10.3758/s13428-023-02124-2
Abstrakt: Interest in the psychology of misinformation has exploded in recent years. Despite ample research, to date there is no validated framework to measure misinformation susceptibility. Therefore, we introduce Verification done, a nuanced interpretation schema and assessment tool that simultaneously considers Veracity discernment, and its distinct, measurable abilities (real/fake news detection), and biases (distrust/naïvité-negative/positive judgment bias). We then conduct three studies with seven independent samples (N total  = 8504) to show how to develop, validate, and apply the Misinformation Susceptibility Test (MIST). In Study 1 (N = 409) we use a neural network language model to generate items, and use three psychometric methods-factor analysis, item response theory, and exploratory graph analysis-to create the MIST-20 (20 items; completion time < 2 minutes), the MIST-16 (16 items; < 2 minutes), and the MIST-8 (8 items; < 1 minute). In Study 2 (N = 7674) we confirm the internal and predictive validity of the MIST in five national quota samples (US, UK), across 2 years, from three different sampling platforms-Respondi, CloudResearch, and Prolific. We also explore the MIST's nomological net and generate age-, region-, and country-specific norm tables. In Study 3 (N = 421) we demonstrate how the MIST-in conjunction with Verification done-can provide novel insights on existing psychological interventions, thereby advancing theory development. Finally, we outline the versatile implementations of the MIST as a screening tool, covariate, and intervention evaluation framework. As all methods are transparently reported and detailed, this work will allow other researchers to create similar scales or adapt them for any population of interest.
(© 2023. The Author(s).)
Databáze: MEDLINE
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