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Learning How to Separate Fake From Real News: Scalable Digital Tutorials Promoting Students’ Civic Online Reasoning
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Educational Sciences, Department of Education.ORCID iD: 0000-0002-5194-9430
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Educational Sciences, Department of Education.ORCID iD: 0000-0002-9613-0808
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Educational Sciences, Department of Education.ORCID iD: 0000-0003-1884-3252
2021 (English)In: Future Internet, E-ISSN 1999-5903, Vol. 13, no 3, article id 60Article in journal (Refereed) Published
Abstract [en]

With the rise of misinformation, there is a great need for scalable educational interventions supporting students’ abilities to determine the trustworthiness of digital news. We address this challenge in our study by developing an online intervention tool based on tutorials in civic online reasoning that aims to teach adolescents how to critically assess online information comprising text, videos and images. Our findings from an online intervention with 209 upper secondary students highlight how observational learning and feedback support their ability to read laterally and improve their performance in determining the credibility of digital news and social media posts. 

Place, publisher, year, edition, pages
MDPI, 2021. Vol. 13, no 3, article id 60
Keywords [en]
civic online reasoning, source criticism, lateral reading, observational learning, fact-checking tutorials
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:uu:diva-437745DOI: 10.3390/fi13030060ISI: 000633686700001OAI: oai:DiVA.org:uu-437745DiVA, id: diva2:1537337
Funder
Vinnova, 018-01279Available from: 2021-03-15 Created: 2021-03-15 Last updated: 2025-02-18Bibliographically approved

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Publisher's full texthttps://www.mdpi.com/1999-5903/13/3/60

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Axelsson, Carl-Anton WernerGuath, MonaNygren, Thomas

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