| Autor: |
Stieger, Stefan, Schneider, Claudia R., Maertens, Rakoen, McClanahan, William Patrick, Dr. Sander Van Der Linden, Drabot, Karly, Kerr, John R., Kyrychenko, Yara, Golino, Hudson, He, James Kunling, Roozenbeek, Jon, Götz, Friedrich |
| Rok vydání: |
2020 |
| Předmět: |
|
| DOI: |
10.17605/osf.io/r7phc |
| Popis: |
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 (Ntotal = 8,504) to show how to develop, validate, and apply a 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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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