Effective ownership of software artifacts, particularly code, is crucial for accountability,
knowledge sharing, and code quality enhancement. Researchers have proposed models …

This Element explores the sentiment and keyword features in both authorship profiling and
authorship attribution in social media texts in the Chinese cultural context. The key findings …

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 …

Ownership of software artifacts has become a point of interest to software teams.
Researchers modeled ownership of software artifacts with different models and in …

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 …

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 …

Within the realm of author identification, where researchers work to classify writing samples
by author, researchers are using more and diverse feature sets to try to improve …