ABSTRACT
Artificial intelligence (AI) is impacting our lives in many ways and is becoming a part of academic research in various fields. Generative artificial intelligence is an AI system that can generate content based on input data. Despite embarrassing attempts a few years ago, it is gradually becoming part of the media landscape. Academic media research is often associated with AI and vice versa. The purpose of this study is to examine academic research in this area over the past decade. We conducted the research using data from the Web of Science database. Using quantitative bibliometric analysis, we examined topics related to AI, media, and consequently media literacy. Our study includes an analysis of co-citations and co-keywords with a description of the most influential studies and journals where studies focusing on AI and media are found. Our results show that academic research here is mainly focused on the technical nature of the use of AI using natural language processing and deep learning, and for media it is mainly the study of texts online and on social networks, along with a focus on fake news and rumour detection. In the last two years, ChatGPT and AI in healthcare are also new topics due to the spread of misinformation and its detection. In conclusion, this study provides a detailed, insightful look at the extensive field associated with academic AI research in the context of media and provides an overview of the areas that dominate it.
KEY WORDS
Academic Research. Bibliometric Analysis. Generative Artificial Intelligence. Media. Web of Science.
DOI
https://doi.org/10.34135/mlar-25-01-02