This study aims to develop an effective and precise methodology for detecting AI-generated
text, leveraging the synergistic combination of transformer learning and stylometric features …

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 …

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 …

We present a basic methodology and share some interesting results from experiments on
using sentiment analysis for authorship attribution of poetry. We demonstrate that sentiment …

In dieser Arbeit sollte das von Betak L. entwickelte projektive Verfahren „Baum und
Traumbaum “anhand einer computergestützten quantitativen inhaltlichen Sprachanalyse …

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 …

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

Amid a world of the COVID-19 pandemic, people often have turned to social media as a
means of communicating and receiving information. Within existing social networks one can …

Feature selection is a technique used to reduce an original set of features to a subset
containing the most salient features. Reducing the feature set to the most significant subset …

Qualitative coding is an essential observational tool for describing behaviour in the social
sciences. However, it traditionally relies on manual, time-consuming, and error-prone …