Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media.

Journal: Frontiers in artificial intelligence
Published Date:

Abstract

This study explores the evolving role of social media in the spread of misinformation during the Ukraine-Russia conflict, with a focus on how artificial intelligence (AI) contributes to the creation of deceptive war imagery. Specifically, the research examines the relationship between color patterns (LUTs) in war-related visuals and their perceived authenticity, highlighting the economic, political, and social ramifications of such manipulative practices. AI technologies have significantly advanced the production of highly convincing, yet artificial, war imagery, blurring the line between fact and fiction. An experimental project is proposed to train a generative AI model capable of creating war imagery that mimics real-life footage. By analyzing the success of this experiment, the study aims to establish a link between specific color patterns and the likelihood of images being perceived as authentic. This could shed light on the mechanics of visual misinformation and manipulation. Additionally, the research investigates the potential of a serverless AI framework to advance both the generation and detection of fake news, marking a pivotal step in the fight against digital misinformation. Ultimately, the study seeks to contribute to ongoing debates on the ethical implications of AI in information manipulation and to propose strategies to combat these challenges in the digital era.

Authors

  • Estibaliz García-Huete
    Department of Journalism and Global Communication, Faculty of Information Sciences, Universidad Complutense de Madrid, Madrid, Spain.
  • Sara Ignacio-Cerrato
    Optics Department, Faculty of Optics and Optometry, Universidad Complutense de Madrid, Madrid, Spain.
  • David Pacios
    Department of Computer Architecture and Automation, Faculty of Informatics, Universidad Complutense de Madrid, Madrid, Spain.
  • José Luis Vázquez-Poletti
    Department of Computer Architecture and Automation, Faculty of Informatics, Universidad Complutense de Madrid, Madrid, Spain.
  • María José Pérez-Serrano
    Department of Journalism and Global Communication, Faculty of Information Sciences, Universidad Complutense de Madrid, Madrid, Spain.
  • Andrea Donofrio
    Department of Journalism and Global Communication, Faculty of Information Sciences, Universidad Complutense de Madrid, Madrid, Spain.
  • Clemente Cesarano
    Section of Mathematics, International Telematic University Uninettuno, Rome, Italy.
  • Nikolaos Schetakis
    Computational Mechanics and Optimization Laboratory, School of Production Engineering and Management, Technical University of Crete, Chania, Greece.
  • Alessio Di Iorio
    Alma Sistemi Srl, Rome, Italy.

Keywords

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