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Quality recognition as a prescriber against disinformation

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Quality recognition as a prescriber against disinformation

dc.contributor.author	Palau Sampio, Dolors
dc.contributor.author	Carratalá Simón, Adolfo
dc.contributor.author	Tarullo, Raquel
dc.contributor.author	Crisóstomo, Paz
dc.date.accessioned	2023-05-02T09:24:01Z
dc.date.available	2023-05-02T09:24:01Z
dc.date.issued	2022
dc.identifier.citation	Palau Sampio, Dolors Carratalá Simón, Adolfo Tarullo, Raquel Crisóstomo, Paz 2022 Quality recognition as a prescriber against disinformation Comunicar XXX 72 59 70
dc.identifier.uri	https://hdl.handle.net/10550/86259
dc.description.abstract	Hybrid media context and the infodemic have increased the threat of disinformation, particularly among young people who mostly consume digital content. This article aims to identify the competencies needed to detect low-quality content linked to disinformation by Journalism and Communications undergraduates from Argentina, Chile, and Spain. Based on a double comparative study by countries and levels of education, it tries to predict the skills of future journalists in recognising false information. From an online questionnaire, the participants (N=300) evaluated the quality observed (minimum, average or excellent) and the problems detected from 12 items published in both conventional and pseudo-media. The comparison of results with the expert group shows that about 60% of the students have difficulties in identifying quality accurately and that this ability is higher in the advanced groups. From a selection of five news items, the participants were only able to successfully report 25.3% of the real mistakes in the texts. The correct identification of these mistakes improves in news related to the COVID-19 pandemic. Conclusions reveal that undergraduates overestimate their ability to detect disinformation, with a self-perception of 3.46 out of 5. The results also indicate that their media diet combines digital media and social media as a priority, while traditional media have a residual nature.
dc.language.iso	eng
dc.relation.ispartof	Comunicar, 2022, vol. XXX, num. 72, p. 59-70
dc.subject	Desinformació
dc.subject	Periodisme
dc.subject	Universitats
dc.subject	Control de qualitat
dc.title	Quality recognition as a prescriber against disinformation
dc.type	journal article
dc.date.updated	2023-05-02T09:24:01Z
dc.identifier.doi	10.3916/C72-2022-05
dc.identifier.idgrec	157507
dc.rights.accessRights	open access