Technology Trends in Synthetic Media – Bibliometric analysis of Existing Literature and Future Scope

Fake media is being created and floated around for a long time now and so does the research on techniques to generate, detect, and improve them. The earliest available research in the Scopus database dates back to the year 1996. However, the dynamics of this field and thereby the research changed once this has become a problem that found machine learning applications. The field of synthetic media has grown so much beyond fake text into machine-generated images, audio, and video. This led to a new terminology called deepfakes. These are media developed by leveraging machine learning and artificial intelligence techniques with a purpose to modify existing content or create new ones. In this article, we analyze the existing research articles to identify the current trajectory of research and recent developments. We also propose a use case to emphasize the future directions that research could take in this field.

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