An Examination of the Impact of Stylometry, Artificial Intelligence/Machine Learning (AI/ML) on Privacy in Social Media

This paper provides a review of publications on the topic of stylometry, including both successful and unsuccessful attempts to apply the concept and real-world use cases. We then conducted our own experiments to attempt to conduct stylometry, using a variety of platforms for training and employing ML models. The purpose of this experimentation will be to identify where the barrier to entry lies in applying stylometry for average users. To do these, we conducted tests using techniques with varying levels of difficulty in application and varying levels of expected and actual success. Finally, based on both the literature review and our experiments, we will comment on what effects stylometry and machine learning may have on intrusions to privacy for those using anonymous digital platforms, now and in the future.