  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.
