Authorship Studies and the Dark Side of Social Media Analytics
Author(s) -
Patrick Juola
Publication year - 2020
Publication title -
jucs - journal of universal computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.284
H-Index - 53
eISSN - 0948-695X
pISSN - 0948-6968
DOI - 10.3897/jucs.2020.009
Subject(s) - computer science , variety (cybernetics) , profiling (computer programming) , data science , social media , analytics , authorship attribution , great rift , engineering ethics , world wide web , artificial intelligence , physics , astronomy , engineering , operating system
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.
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