The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Authorship attribution supported by statistical or computational methods has a long history
starting from the 19th century and is marked by the seminal study of Mosteller and Wallace …

An Introduction to Forensic Linguistics: Language in Evidence has established itself as the
essential textbook written by leading authorities in this expanding field. The second edition …

Statistical authorship attribution has a long history, culminating in the use of modern
machine learning classification methods. Nevertheless, most of this work suffers from the …

A common characteristic of communication on online social networks is that it happens via
short messages, often using non-standard language variations. These characteristics make …

The aim of this study is to find such a minimal size of text samples for authorship attribution
that would provide stable results independent of random noise. A few controlled tests for …

We compare and benchmark the performance of five classification methods, four of which
are taken from the machine learning literature, in a classic authorship attribution problem …

Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …