Datensatz: Emotion in misinformation studies: Distinguishing affective state from emotional response and misinformation recognition from acceptance
Lade...
Datum der Erstveröffentlichung
2022
Autor:innen
Andere Beitragende
Repositorium der Erstveröffentlichung
Open Science Framework
Version des Datensatzes
DOI (Link zu den Daten)
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationsstatus
Published
Zusammenfassung
Online study on emotion and misinformation belief and news discernment. Distinguishing emotional state from response, and recognizing vs. believing misinformation.
This pre-registered survey in Austria (N = 422) investigates associations of emotions and misinformation susceptibility measured in terms of discernment of false and real news related to COVID-19. It replicated and extended Martel et al. (2020, https://doi.org/10.1186/s41235-020-00252-3).
The paper on this study is published here: https://doi.org/10.1186/s41235-024-00607-0
The repository is structured as follows:
- The pre-registration can be found at the top of the page under "Registrations".
- "Data" contains R-datafiles.
- "Supplementary information" has methods and results we refer to in the main manuscript.
- "ICA 2023" has an earlier (non-published) manuscript version submitted to a conference.
- R Code is in "Code".
- Survey materials and stimuli are in "Materials".
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
320 Politik
Schlagwörter
PANAS, recognition, susceptibility, misinformation, anger, emotional state, emotional response, fear, emotion
Zitieren
ISO 690
SHETTY, Apeksha, Hannah METZLER, Corinna KOSCHMIEDER, David GARCIA, Jula LÜHRING, Annie WALDHERR, 2022. Emotion in misinformation studies: Distinguishing affective state from emotional response and misinformation recognition from acceptanceBibTex
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/72257"> <dc:contributor>Garcia, David</dc:contributor> <dc:contributor>Lühring, Jula</dc:contributor> <dc:rights>Creative Commons Attribution 4.0 International</dc:rights> <dc:language>eng</dc:language> <dc:creator>Metzler, Hannah</dc:creator> <dc:creator>Garcia, David</dc:creator> <dcterms:abstract>Online study on emotion and misinformation belief and news discernment. Distinguishing emotional state from response, and recognizing vs. believing misinformation. This pre-registered survey in Austria (N = 422) investigates associations of emotions and misinformation susceptibility measured in terms of discernment of false and real news related to COVID-19. It replicated and extended Martel et al. (2020, https://doi.org/10.1186/s41235-020-00252-3). The paper on this study is published here: https://doi.org/10.1186/s41235-024-00607-0 The repository is structured as follows: 1. The pre-registration can be found at the top of the page under "Registrations". 2. "Data" contains R-datafiles. 3. "Supplementary information" has methods and results we refer to in the main manuscript. 4. "ICA 2023" has an earlier (non-published) manuscript version submitted to a conference. 5. R Code is in "Code". 6. Survey materials and stimuli are in "Materials".</dcterms:abstract> <dcterms:created rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-04-03T13:37:10.000Z</dcterms:created> <dc:contributor>Waldherr, Annie</dc:contributor> <dc:creator>Waldherr, Annie</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-02-10T10:58:39Z</dc:date> <dc:creator>Koschmieder, Corinna</dc:creator> <dc:creator>Lühring, Jula</dc:creator> <dc:contributor>Shetty, Apeksha</dc:contributor> <dcterms:issued>2022</dcterms:issued> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71935"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-02-10T10:58:39Z</dcterms:available> <dc:creator>Shetty, Apeksha</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/72257"/> <dcterms:title>Emotion in misinformation studies: Distinguishing affective state from emotional response and misinformation recognition from acceptance</dcterms:title> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Metzler, Hannah</dc:contributor> <dc:contributor>Koschmieder, Corinna</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71935"/> <dcterms:rights rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> </rdf:Description> </rdf:RDF>