The ability to accurately identify authorship is crucial for verifying content authenticity and
mitigating misinformation. Large Language Models (LLMs) have demonstrated an …

The Handbook is a unique work of reference to the leading ideas, debates, topics,
approaches and methodologies in forensic linguistics and language and the law. It …

Authorship analysis is the process of determining who produced a questioned text by
language analysis. Although there has been significant success in the performance of …

The'human-machine era'is coming soon: a time when technology is integrated with our
senses, not confined to mobile devices. The hardware will move from our hands into our …

This Element examines progress in research and practice in forensic authorship analysis. It
describes the existing research base and examines what makes an authorship analysis …

Danielle Jones disappeared on 18 June 2001; she has not been seen since and her body
has never been found. Within hours of her disappearance two text messages were sent from …

Forensic linguistics is at the cutting edge of the undercover policing of child sexual abuse on
the open internet and dark web, and language and identity is a fundamental part of this. The …

Computational Forensic Linguistics: An Overview of Computational Applications in Forensic
Contexts Page 1 Computational Forensic Linguistics: An Overview of Computational …

The vast majority of witnesses who give evidence in both civil and criminal cases have some
personal involvement and their role is to recount facts and personal experiences relevant to …

This paper applies Multi-Dimensional Analysis (MDA) to a corpus of English tweets to
uncover the most common patterns of linguistic variation. MDA is a commonly applied …