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      Archiving and curating activist design on Instagram: the 2018 Brazilian presidential election visual narratives

      proceedings-article

      RE:SOUND 2019 – 8th International Conference on Media Art, Science, and Technology (RE:SOUND 2019)

      Media Art, Science, and Technology

      August 20-23, 2019

      Activist design, Data base aesthetics, Social networks graphic language, Artificial intelligence, Archiving, Graphic memory

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            Abstract

            This paper addresses the new visual archives that emerged in the context of the dissident design created during the 2018 presidential election in Brazil. Considered the most fratricide dispute of our political history between two opposing candidates representing completely different points of view, these two groups fought a real battle on social networks. The material collected in this research focused on dissident visual narratives, on message-images (posters of the networks era) produced by ordinary citizens and by activist groups. Many collectives of artists, designers and independent groups have also organized their message-images using algorithm criteria, with #s, on Instagram (#designativista, #desenhosopelademocracia, #designdissidente, #coleraalegria, #elenao). This curatorial work aims at discussing the new vocabulary of dissident design on Instagram. These narratives represent the database aesthetics and offer a rich material to discuss the new status of the image in the mass communication of social networks. They have a potential to represent the digital graphic memory of Brazilian political, social and artistic history, and constitute a fundamental element in the archeology of aesthetics of dissident visual narratives. Through visual examples edited from the main #s mentioned above, this paper intends to discuss how to classify and archive big amounts of data that are already being lost in the constant stream of social networks. The article also suggests new parameters for cataloging images by using Artificial Intelligence and supervised learning machines to develop image classifiers specially created for this research.

            Content

            Author and article information

            Contributors
            Conference
            August 2019
            August 2019
            : 152-160
            Affiliations
            [0001]PhD. Candidate in Design at FAU-USP - University of São Paulo

            R. Aliados, 793 05088-01 São Paulo Brazil
            Article
            10.14236/ewic/RESOUND19.24
            954bd1ef-dd08-4f7a-aa70-dd500ed6f3a3
            © Prata. Published by BCS Learning and Development Ltd. Proceedings of RE:SOUND 2019

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            RE:SOUND 2019 – 8th International Conference on Media Art, Science, and Technology
            RE:SOUND 2019
            8
            Aalborg, Denmark
            August 20-23, 2019
            Electronic Workshops in Computing (eWiC)
            Media Art, Science, and Technology
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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