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DigComp and MIL frameworks contribute to fight fake news and disinformation

dc.contributor.authorAncanello, Juliana Venancio [UNESP]
dc.contributor.authorCasarin, Helen de Castro Silva [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T18:37:18Z
dc.date.issued2023-01-01
dc.description.abstractIntroduction: The consumption of information and news in the virtual environment, characterized by infinite content, permanent connection and information overload, makes it difficult to discern what is or is not factual information. Objective: The objective is to investigate what are the guidelines proposed by the DigComp and MIL documents to prepare individuals against fake news and misinformation. Methodology: Content Analysis, more specifically categorical analysis, was used to analyze the selected frameworks. Three analysis categories were created with seven inferences. Results: In the Key Concepts category, only misinformation inference is presented in both documents. There are recommendations for the evaluation of information in nontraditional information environments, as inferred in category two in both analyzed frameworks. It was found that DigComp brings specific guidelines regarding the Skills, Knowledge and Attitudes category, while the MIL includes two of the three inferences proposed in the category. Conclusion: The documents offer a set of conceptual, pedagogical and strategy-action references that provide guiding elements for the preparation of users, and it is imperative that information professionals are proactive in relation to misinformation and fake news, in addition to knowing, analyzing and criticizing the available references to develop strategies based on the integration of different skills to prepare subjects to use non-traditional informational environments.en
dc.description.affiliationUniv Estadual Paulista Julio Mesquita Filho UNESP, Marilia, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista Julio Mesquita Filho UNESP, Marilia, SP, Brazil
dc.format.extent15
dc.identifierhttp://dx.doi.org/10.20396/rdbci.v21i00.8671533/32399
dc.identifier.citationRdbci-revista Digital De Biblioteconomia E Ciencia Da Informacao. Campinas: Univ Estadual Campinas - Sistema Bibliotecas, v. 21, 15 p., 2023.
dc.identifier.doi10.20396/rdbci.v21i00.8671533/32399
dc.identifier.urihttps://hdl.handle.net/11449/298512
dc.identifier.wosWOS:001055610700001
dc.language.isoeng
dc.publisherUniv Estadual Campinas - Sistema Bibliotecas
dc.relation.ispartofRdbci-revista Digital De Biblioteconomia E Ciencia Da Informacao
dc.sourceWeb of Science
dc.subjectFake news
dc.subjectDisinformation
dc.subjectMedia and information literacy
dc.subjectDigital literacy
dc.subjectInformation literacy
dc.titleDigComp and MIL frameworks contribute to fight fake news and disinformationen
dc.typeArtigopt
dcterms.rightsHolderUniv Estadual Campinas - Sistema Bibliotecas
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Filosofia e Ciências, Maríliapt

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