Deepfakes: Vehicles for Radicalization, Not Persuasion

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Maja Nieweglowska, Cal Stellato, S. Sloman
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引用次数: 0

Abstract

Deepfakes are an effective method of media manipulation because of their realism and also because truth is not a priority when people are consuming and sharing content online. Consumers are more focused on creating their own reality that aligns with their desires, opinions, and values. We explain how deepfakes differ from other sources of information. Their realism and vividness makes them unusually effective at depicting alternative facts, including fake news. Deepfakes are difficult to detect and will be even harder to detect in the future. However, people share deepfakes not necessarily because they believe them but because they want to reinforce their own identity and social position. The threat posed by deepfakes is that they can radicalize people by sowing chaos and confusion. They rarely change minds. We review the consequences of deepfakes in both the social sphere and private lives. We suggest potential solutions to reduce their negative consequences.
深度造假:激进化的工具,不是说服的工具
Deepfakes是一种有效的媒体操纵方法,因为它的真实性,也因为当人们在网上消费和分享内容时,真相不是优先事项。消费者更专注于创造与他们的欲望、观点和价值观相一致的自己的现实。我们解释了deepfakes与其他信息来源的区别。它们的真实性和生动性使它们在描绘包括假新闻在内的另类事实方面异常有效。Deepfakes很难被检测到,而且在未来将更加难以被检测到。然而,人们分享deepfakes并不一定是因为他们相信它们,而是因为他们想强化自己的身份和社会地位。deepfakes带来的威胁是,它们可以通过制造混乱和混乱来激进化人们。他们很少改变主意。我们回顾了deepfakes在社会领域和私人生活中的后果。我们提出了减少其负面后果的潜在解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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