"In this article, a theoretical model on the detection of deepfakes by ordinary citizens is introduced. The authors conducted three studies in which deepfakes with political content were presented. The deepfakes showed UK’s Prime Minister Boris Johnson or Barack Obama. In the deepfake videos, the two politicians said things they had never said in real life. The authors expected that people who regularly and automatically reflect on information they see (analytic thinking) are more likely to identify deepfakes correctly than people who tend to be less reflective, more intuitive. The authors further expected that interest in politics is positively related to detecting political deepfakes. Indeed, the higher participants’ scores on analytic thinking (Studies 1-2) and political interest (Study 1), the better participants identified the deepfakes. Moreover, people with high analytic thinking and political interest were better at identifying a fake news article to be inaccurate (whether or not a warranting deepfake video was presented, Study 3). It is discussed how researchers, everyday people, and whole societies can deal with deepfakes." (Lay summary)