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Artmann, Benedikt ORCID logoORCID: https://orcid.org/0000-0002-0545-0583; Scheibenzuber, Christian ORCID logoORCID: https://orcid.org/0000-0003-0146-7836; Fendt, Marvin ORCID logoORCID: https://orcid.org/0000-0002-3144-2851 und Nistor, Nicolae ORCID logoORCID: https://orcid.org/0000-0002-9956-1670 (2023): Lateral Reading Against Misinformation: The Cognitive Processing Level Mediates the Intervention Effect on the News Credibility Assessment Performance. 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal, September 4–8, 2023. Viberg, Olga; Jivet, Ioana; Muñoz-Merino, Pedro J.; Perifanou, Maria und Papathoma, Tina (Hrsg.): In: Responsive and Sustainable Educational Futures, Cham, Switzerland: Springer. S. 531-535

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Abstract

Approaching the problem of fake news with media literacy and fake news training, lateral reading training improves the discernment between truthful and fake news. How this improvement is achieved remains to be proven. Assuming that the level of cognitive processing mediates the effect of news literacy training on news evaluation skills, changes in cognitive processing need to be examined. Addressing this gap, this poster paper presents the development of a category system as a content analysis tool, aiming to analyze the cognitive processing level applied to assessing news. The new instrument is tested with data from an information literacy training using the lateral reading training approach in three different training conditions including a control group. Data from N = 179 participants were coded using the proposed category system and analyzed using regression analysis to examine mediation effects between the training groups, cognitive processing level and test scores. The results of this analysis show a mediation effect of cognitive processing level on news evaluation test scores, suggesting that enhancing the cognitive processing may improve the ability to evaluate information. Furthermore, these preliminary results will be supplemented with results from more participants to reach a sample size of N = 344.

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