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首页> 外文期刊>Social Media + Society >Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News
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Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News

机译：Deepfakes和Disinportation：探索综合政治视频对欺骗，不确定性和信任的影响

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Artificial Intelligence (AI) now enables the mass creation of what have become known as “deepfakes”: synthetic videos that closely resemble real videos. Integrating theories about the power of visual communication and the role played by uncertainty in undermining trust in public discourse, we explain the likely contribution of deepfakes to online disinformation. Administering novel experimental treatments to a large representative sample of the United Kingdom population allowed us to compare people’s evaluations of deepfakes. We find that people are more likely to feel uncertain than to be misled by deepfakes, but this resulting uncertainty, in turn, reduces trust in news on social media. We conclude that deepfakes may contribute toward generalized indeterminacy and cynicism, further intensifying recent challenges to online civic culture in democratic societies.
机译：人工智能（AI）现在使得大规模创建被称为“DeepFakes”：合成视频，与真实的视频密切相关。整合关于视觉沟通权的理论和在公共话语中破坏信任时不确定性的作用，我们解释了Deewfakes对网上消毒的可能贡献。向英国人口的大型代表性调查管理新的实验治疗使我们能够比较人们对DeepFakes的评估。我们发现，人们更有可能感到不确定，而不是被炸液误导，但这导致不确定性反过来又减少了对社交媒体新闻的信任。我们得出结论，Deepeakes可能导致广泛的不确定性和玩世不恭，进一步加剧了最近在民主社会中对在线公民文化的挑战。

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