Artificial intelligence, disinformation and media literacy proposals around deepfakes

Authors

DOI:

https://doi.org/10.15847/obsOBS18520242445

Abstract

The role of artificial intelligence and its place in the new disinformation strategies is perhaps one of the most difficult issues to focus on nowadays, since we are at the beginning of a process of definition and ways of exploration. In this paper, first of all, we analyze the different approaches that are being applied to the regulation of artificial intelligence and that may affect the different disinformation strategies that are being identified. Secondly, we study how artificial intelligence is being used to identify disinformation content. In this regard, from the point of view of verification processes, one of the main challenges is when identifying deepfakes (images and video, mainly) linked to news cycles. From this perspective, a typology of deepfakes is proposed and its main characteristics will be described according to the verifications carried out by the Spanish fact-checking organizations. Finally, a set of recommendations will be presented to work from a media literacy point of view with the identification of deepfakes.

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Published

2024-02-13

How to Cite

Garriga, M., Ruiz-Incertis , R., & Magallón-Rosa, R. (2024). Artificial intelligence, disinformation and media literacy proposals around deepfakes. Observatorio (OBS*), 18(5). https://doi.org/10.15847/obsOBS18520242445

Issue

Special Issue (2024) Uses of Media Literacy to tackle disinformation: the multiple roles of different stakeholders

Section

Articles

License

Copyright (c) 2024 Miriam Garriga, Raquel Ruiz-Incertis , Raúl Magallón-Rosa Observatorio (OBS*) has an academic journal profile. As such, it is dedicated to the open exchange of its contents, and freely available to individuals and institutions without charge or formal permission. Copies of this journal or articles in this journal may be distributed for research or educational purposes free of charge and without permission. Authors will not be charged for publication or submission to this journal. Authors who publish in Observatorio (OBS*) will release their contributions under the Creative Commons Attribution-NonCommercial-2.0 generic. This licence allows anyone to copy and distribute the article for non-commercial purposes provided that appropriate attribution is given - being the author the copyright holder. This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration. The publisher perpetually authorizes participants in the LOCKSS system to archive and restore our publication through the LOCKSS System for the benefit of all LOCKSS System participants. Specifically participating libraries may: • Collect and preserve currently accessible materials; • Use material consistent with original license terms; • Provide copies to other LOCKSS appliances for purposes of audit and repair. Fair use of a copyrighted work, for purposes such as criticism, comment, news reporting, teaching (including multiple copies for classroom use), scholarship, or research, is not an infringement of copyright. In determining whether the use made of a work in any particular case is a fair use the factors to be considered shall include: 1. the purpose and character of the use, including whether such use is of a commercial nature or is for nonprofit educational purposes; 2. the nature of the copyrighted work; 3. the amount and substantiality of the portion used in relation to the copyrighted work as a whole; & 4. the effect of the use upon the potential market for or value of the copyrighted work. The fact that a work is unpublished shall not itself bar a finding of fair use if such finding is made upon consideration of all the above factors. In accord with these provisions, the OBS journal believes in the vigorous assertion and defense of Fair Use by scholars engaged in academic research, teaching and non-commercial publishing. Thus, we view the inclusion of “quotations” from existing print, visual, audio and audio-visual texts to be appropriate examples of Fair Use, as are reproductions of visual images for the purpose of scholarly analysis. We encourage authors to obtain appropriate permissions to use materials originally produced by others, but do not require such permissions as long as the usage of such materials falls within the boundaries of Fair Use.