Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Regulação da mídia e literacias digitais no combate a fake news

Plataformização, inteligência artificial e algoritmos

Bibliographic Data

ID22015648
AuthorsRegina Rossetti (0000-0002-3219-4570, Intel (United States)), Renata Ferrarezi (0000-0002-7647-673X, Intel (United States))
Year2024
Volume18
Issue2
Pages65-86
Publication date2024-05-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Mídia e Cotidiano (JOURNAL)
Journal identifiersISSN: 2178-602X • E-ISSN: 2178-602X
PublisherPro Reitoria de Pesquisa, Pos Graduacao e Inovacao - UFF (PUBLISHER)
DOI10.22409/rmc.v18i2.58750
OpenAlexW4399275455
LanguagePT
References cited2

This article proposes a discussion about disinformation, involving gear and methods that contribute to the spread of fake news in the online environment and other phenomena that arise in the wake of the Big Tech business model. It is considered that, with the advancement of Artificial Intelligence, such formats begin to exercise increasing dominance over experiences, narratives and human knowledge, control that can be considered a threat to freedom of expression and the right to information. Faced with this challenge, from a regulatory point of view, the review of standards that place more limits on digital and educational platforms is being evaluated, highlighting the need to expand digital, media and information literacy. The methodology involves bibliographic and documentary review

Fake news · Humanities · Internet privacy · Brazilian Legal Issues · Computer Science · Cultural, Media, and Literary Studies · Education and Digital Technologies · Philosophy

  • The challenges and limits of big data algorithms in technocratic governance

    Open Access•Marijn Janssen, George Kuk•Government Information Quarterly•2016

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae