Critical Climate Machine : A Visual and Musical Exploration of CLimate Misinformation through Machine Learning

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Titre (article, livre complet, chapitre de livre, publication réseaux sociaux, pageWeb, SiteWeb complet, etc.): Critical Climate Machine : A Visual and Musical Exploration of CLimate Misinformation through Machine Learning
Auteur de la référence bibliograpique: Gaëtan Robillard; Jérôme Nika
Date de publication (AAAA ou AAAA-MM-JJ): 2024
Résumé: Critical Climate Machine is a cutting-edge media art installation that critically exposes and quantifies mechanisms of climate change misinformation. Utilizing computational aesthetics across data, imagery, and sound, this work processes real-time data from X (Twitter) through a natural language processing learning model derived from cognitive sciences. It not only renders the statistical aspects of this data visually but also manifests its thermal effects. A unique audio dimension is introduced through dialogues between climate skeptics and climate advocates, processed by the generative machine learning (ML) algorithm Dicy2. These elements collectively shape the installation, each unveiling its distinctive algorithmic aesthetics and technical underpinnings. This paper concentrates on the dual application of ML algorithms: one for dissecting extensive online misinformation streams, and the other for creating climate-related dialogues. This dual approach opens a discussion on the mediation of climate, at the convergence of computational and physical realms. Our aim is to critically examine the role of ML technologies in crafting aesthetic experiences that resonate within scientific discourse and public debate on climate issues.
Numéro (revues scientifiques): 4
Volume (revues scientifiques): 7
Maison d'édition / Nom de la revue scientifique / Nom du site Web / Nom de l'institution universitaire (thèses) / Institution d'un rapport, etc.: ACM Comput. Graph. Interact. Tech.
Titre du livre (pour chapitre de livre): ACM Comput. Graph. Interact. Tech.
URL (adresse Web): https://robillardstudio.github.io/medias/Robillard_&_Nika_CCM_SIGGRAPH_2024.pdf

Media: CriticalClimateMachineAVisualAndMusicalExplorationOfCLimateMisinformationThroughMachineLearning

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Médias génératifs et régimes d’authenticité. Retours sur une étude de cas	Conference

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