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Post-fake artivism: how activism and art can break reflexivity

datacite.subject.sdg04:Educação de Qualidadept_PT
datacite.subject.sdg11:Cidades e Comunidades Sustentáveispt_PT
datacite.subject.sdg16:Paz, Justiça e Instituições Eficazespt_PT
dc.contributor.authorVeiga, Pedro Alves
dc.date.accessioned2024-02-15T10:17:42Z
dc.date.available2024-02-15T10:17:42Z
dc.date.issued2023-11-29
dc.description.abstractThis text explores the historical evolution and intertwinement of propaganda, black-boxing, and attention control over the last century, and their combined roles in influencing the masses, more specifically through the spread of fake information in various media formats. In this scenario, artivism (art + activism), in its many forms, hacks the black boxes and exposes their inner workings, algorithms, and strategies. Thus, the author highlights key aspects of propaganda, as posited during the Second World War, and their subsequent spread into advertising, becoming an intrinsic part of global politics and businesses. The concept of black-boxing, as introduced by Latour to designate an opaque process that takes input A and transforms it into output B, while hiding its inner workings or hidden purposes, is then extended and applied to all modern content and media production – including propaganda and advertising – that occludes its sources and information transformation from the public. The reflexive use of these extended back-boxes, together with technological determinism, is fostering what is presented as a widespread phenomenon, turning fake into real, largely supported by a culture rooted in propaganda, thriving in attention-capturing mechanisms and in the conscious use of logical fallacies to maximize public impact, epitomized by the phrase “if faking it gets the job done, who cares?” Form has become more important than function, in the pursuit of goals. The appeal to emotion – overriding reason and fact – is privileged in public communication. Recent advances in generative AI black-boxed systems have densified the scenario, making it nearly impossible to distinguish between highly polished, often hyper-realistic, machine-generated deep-fakes and actual, human-generated media. In a post-fake reality punctuated by a barrage of cognitively overlaid buzzwords – from the simpler like, friend, or tag to the more complex Internet of behaviors, artificial intelligence, extended reality, or enhanced connectivity – created and controlled by dominant cultures to inculcate habits and norms, and to consolidate power, the dismantlement of this unprecedented curtain of clichés becomes urgent, and post-fake artivism (art+activism) may be a step in the right direction.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVeiga, P.A. (2023). Post-fake artivism: how activism and art can break reflexivity. In Emine Onculer Yayalar, Melike Sahinol (Eds.) Science, technology and society for a post-truth age: Comparative dialogues on reflexivity. Vernon Press, 213-240.pt_PT
dc.identifier.isbn978-1-64889-788-7
dc.identifier.urihttp://hdl.handle.net/10400.2/15754
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherVernon Presspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectActivismpt_PT
dc.subjectArtpt_PT
dc.subjectAttentionpt_PT
dc.subjectBlackboxingpt_PT
dc.subjectMediapt_PT
dc.titlePost-fake artivism: how activism and art can break reflexivitypt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage240pt_PT
oaire.citation.startPage213pt_PT
oaire.citation.titleScience, technology and society for a post-truth age: Comparative dialogues on reflexivitypt_PT
person.familyNameVeiga
person.givenNamePedro Alves da
person.identifier2279332
person.identifier.ciencia-id4E19-DA38-48BA
person.identifier.orcid0000-0001-9738-3869
person.identifier.ridU-1628-2017
person.identifier.scopus-author-id57200069759
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublicationc30ae50a-0e02-4630-b192-ccf1719e2683
relation.isAuthorOfPublication.latestForDiscoveryc30ae50a-0e02-4630-b192-ccf1719e2683

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