JUCS - Journal of Universal Computer Science 26(1): 156-170, doi: 10.3897/jucs.2020.009
Authorship Studies and the Dark Side of Social Media Analytics
Patrick Juola‡‡ Duquesne University, Pittsburgh, United States of America
Corresponding author: Patrick Juola ( pjuola@juolaassociates.com ) © Patrick Juola. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Juola P (2020) Authorship Studies and the Dark Side of Social Media Analytics. JUCS - Journal of Universal Computer Science 26(1): 156-170. https://doi.org/10.3897/jucs.2020.009 |  |
Abstract
The computational analysis of documents to learn about their authorship (also known as authorship attribution and/or authorship profiling) is an increasingly important area of research and application of technology. This paper discusses the technology, focusing on its application to social media in a variety of disciplines. It includes a brief survey of the history as well as three tutorial case studies, and discusses several significant applications and societal benefits that authorship analysis has brought about. It further argues, though, that while the benefits of this technology have been great, it has created serious risks to society that have not been sufficiently considered, addressed, or mitigated.
Keywords
authorship attribution, social media, computer security