Suppr超能文献

评估生成式人工智能和色彩模式在战争图像传播以及社交媒体虚假信息传播中的作用。

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

作者信息

García-Huete Estibaliz, Ignacio-Cerrato Sara, Pacios David, Vázquez-Poletti José Luis, Pérez-Serrano María José, Donofrio Andrea, Cesarano Clemente, Schetakis Nikolaos, Di Iorio Alessio

机构信息

Department of Journalism and Global Communication, Faculty of Information Sciences, Universidad Complutense de Madrid, Madrid, Spain.

Optics Department, Faculty of Optics and Optometry, Universidad Complutense de Madrid, Madrid, Spain.

出版信息

Front Artif Intell. 2025 Jan 6;7:1457247. doi: 10.3389/frai.2024.1457247. eCollection 2024.

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.

摘要

本研究探讨了社交媒体在俄乌冲突期间错误信息传播中不断演变的作用,重点关注人工智能(AI)如何促成欺骗性战争图像的生成。具体而言,该研究考察了与战争相关视觉图像中的色彩模式(查找表)与其被感知的真实性之间的关系,突出了此类操纵行为的经济、政治和社会影响。人工智能技术极大地推动了高度逼真但却是人为制造的战争图像的制作,模糊了事实与虚构之间的界限。提出了一个实验项目,以训练一个能够创建模仿真实生活画面的战争图像的生成式人工智能模型。通过分析该实验的成功之处,本研究旨在建立特定色彩模式与图像被视为真实的可能性之间的联系。这可能会揭示视觉错误信息和操纵的机制。此外,该研究还调查了无服务器人工智能框架在推进假新闻生成和检测方面的潜力,这是打击数字错误信息斗争中的关键一步。最终,本研究旨在为正在进行的关于人工智能在信息操纵中的伦理影响的辩论做出贡献,并提出在数字时代应对这些挑战的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/250d/11743509/4749def41767/frai-07-1457247-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验