Fighting information disorder one academic work at a time: how students handle mis-, dis- and mal-information

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2024

Autores

Morais, Ricardo (Autor) FLUP; Pineiro-Naval, Valeriano (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of TEEM 2023: The Eleventh International Conference on Technological Ecosystems for Enhancing Multiculturality

Páginas: 977-988

TEEM 2023: The Eleventh International Conference on Technological Ecosystems for Enhancing Multiculturality

Bragança, 2023

Indexação

Crossref

Outras Informações

DOI: 10.1007/978-981-97-1814-6_95

Abstract (EN): This work aims to investigate how mis-, dis-, and mal-information have been addressed in master’s dissertations and doctoral theses in Portugal. These concepts have become increasingly significant today due to the spread of misinformation, which can seriously affect various aspects of society. As much of the research on bibliometrics is focused on scientific articles, we believe that understanding how students deal with the disorder of information is essential. Consequently, we want to determine students’ perspectives on the subject, with the hope that, in the future, new techniques, strategies, and methods will be suggested to help combat the information disorder. Data collected in the Scientific Repository of Open Access of Portugal (RCAAP) between 2016 and 2021 allowed us to identify 59 academic works about information disorders. Most of these studies specifically address the dissemination of fake news. Many fields tackle this topic, such as communication, journalism, law, psychology, and new technologies. Additionally, we observe a trend in using quantitative analysis, especially content analysis, to collect data. Finally, we point out the transversal goal of the works: to understand how disinformation spreads and which tools can help citizens identify false content. This data can then be used to create strategies to counter the spread of disinformation. We also observe an increase in quantitative analysis, especially content analysis, for data collection. Finally, we point out the transversal goal of the works: to understand how disinformation spreads and which tools can help citizens identify false content.

Idioma: Inglês

Tipo (Avaliação Docente): Científica