Alarmed by the volume of disinformation that was assumed to have taken place during the 2016 US elections, scholars, politics and journalists predicted the worst when the first deepfakes began to emerge in 2018. After all, US Elections 2020 were believed to be the most secure in American history. This paper seeks explanations for an apparent contradiction: we believe that it was precisely the multiplication and conjugation of different types of warnings and fears that created the conditions that prevented malicious political deepfakes from affecting the 2020 US elections. From these warnings, we identified four factors (more active role of social networks, new laws, difficulties in accessing Artificial Intelligence and better awareness of society). But while this formula has proven to be effective in the case of the United States, 2020, it is not correct to assume that it can be repeated in other political contexts.
翻译：以2016年美国大选期间发生的虚假信息数量而感到震惊的是,学者、政治和记者们预测了2018年首次重大假象出现时最糟糕的情景。 毕竟,美国2020年选举被认为是美国历史上最安全的。 本文试图解释一个明显的矛盾:我们认为,正是不同类型警告和恐惧的倍增和共鸣造成了各种条件,防止恶意政治假象影响2020年美国选举。 从这些警告中,我们发现了四个因素(社会网络的更积极作用、新法律、获取人工智能方面的困难以及社会意识的提高 ) 。 但是,尽管这一公式已经证明在美国2020年的情况中是有效的,但假设它可以在其他政治背景下重复是不正确的。
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