+1 Recommend
1 collections
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

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

      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

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


          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.

          Related collections

          Author and article information

          August 2019
          August 2019
          : 152-160
          PhD. Candidate in Design at FAU-USP - University of São Paulo

          R. Aliados, 793 05088-01 São Paulo Brazil
          © 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

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


          Comment on this article