Authorship Attribution is a well-studied topic with deep roots in the field of Stylometry. Less
traditional feature sets have not received as much attention. In this paper, we take a deeper …

With the emergence use of social media, millions of micro-messages are exchanged daily.
Although micro-messages are a powerful and efficient way to communicate among …

Adversarial stylometry can be a form of academic fraud that involves the deceptive
manipulation of text through manual, hybrid, or automatic techniques to obfuscate or …

Among the many tasks of the authorship field, Authorship Identification aims at uncovering
the author of a document, while Author Profiling focuses on the analysis of personal …

In this paper, we compare two types of masking methods for Adversarial Authorship. One
method is a human-based interactive form of masking (referred to as AuthorCAAT-V) while …

In this paper, we propose a non-traditional Genetic & Evolutionary Feature Selection
(GEFeS) method for Author Identification. This method evolves a distributed feature vector …

Abstract AuthorCAAT (Author Cyber Analysis & Advisement Tool) is a tool created to aid
users in protecting their online privacy by assisting them in altering their writing style through …

This manuscript summarises the doctoral thesis of José Antonio García-Díaz at the
University of Murcia, under the supervision of doctors Rafael Valencia-García and Pedro …

Researchers are moving beyond stylometric features to improve author identification
systems. They are exploring non-traditional and hybrid feature sets that include areas like …

Writing style can be traced back to a specific author with the use of authorship attribution
techniques. These techniques use machine learning algorithms to classify the authors. This …