An Academic Perspective on Deepfake Technologies in AI-Powered Journalism

The integration of computer technology into journalistic processes brought journalism into the digital age with the widespread use of the Internet in the 1990s. The digitalisation of journalism has led to changes in production, consumption and distribution processes, leaving traditional journalistic practices behind. As in the past, some news can be produced with information gathered in the field, some can be produced with data quickly gathered at a desk, news can be presented individually, and even false/fake news can be verified by artificial intelligence tools. On the other hand, the fact that images and sounds can be created or modified using artificial intelligence-based deep learning algorithms has led to the need to evaluate artificial intelligence technologies from different angles. Based on this context, this study used content analysis to identify trends in scientific research on deepfake technologies and journalism, and to guide those who will conduct new research on the topic.