Deepfakes på sociala medier

: En kvalitativ studie om hur äldre kan förstå risker och konsekvenser genom interaktivt lärande

Abstract

The rapid development of artificial intelligence has enabled the creation of more convincing and realistic deepfakes. The technology entails risks of increased online misinformation and fraud, as well as reduced trust in digital content. Deepfakes are largely distributed through social media platforms. Research indicates that older adults are particularly vulnerable in digital environments, while education and digital media literacy are highlighted as central protective factors. The aim of this study is to examine how an interactive learning platform can be designed to support older adults’ learning about deepfakes and digital source criticism. The study was conducted using a participatory design approach consisting of focus groups and user tests with eight older adults. The focus groups were used to identify needs, preferences, and expectations regarding learning and platform design. These findings formed the basis for the development of a digital prototype, which was subsequently evaluated through user testing and follow-up interviews. The results show that interactive and practical elements were perceived as particularly relevant for learning and engagement. At the same time, a need for clear structure, simple navigation, and personalization was identified in order for the platform to be accessible to all users. The study also demonstrates that education about deepfakes can contribute to a more reflective and critical approach toward digital content without necessarily increasing fear. The findings showed that an interactive and intuitively designed learning platform with practical training in digital source criticism is an effective approach to learning for older adults. At the same time, educational content within the field needs to be continuously updated in line with the rapid development of AI and deepfake technology.

Date of Award	2026-Jun
Original language	Swedish
Supervisor	Maria Freij (Supervisor) & Martin Wetterstrand (Examiner)