Despite decades of research on authorship attribution (AA) and authorship verification (AV),
inconsistent dataset splits/filtering and mismatched evaluation methods make it difficult to …

The goal of the PAN lab is to advance the state of the art in text forensics and stylometry
through an objective evaluation of new and established methods on new benchmark …

Abstract The “Voight-Kampff” Generative AI Authorship Verification task aims to determine
whether a text was generated by an AI or written by a human. As in its fictional inspiration, 1 …

With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …

This review paper covers the forensic-relevant literature in questioned documents from 2016
to 2019 as a part of the 19th Interpol International Forensic Science Managers Symposium …

Authorship verification tries to answer the question if two documents with unknown authors
were written by the same author or not. A range of successful technical approaches has …

Authorship verification (AV) is a research subject in the field of digital text forensics that
concerns itself with the question, whether two documents have been written by the same …

Authorship analysis attempts to reveal information about authors of digital documents
enabling applications in digital humanities, text forensics, and cyber‐security. Author …

Enhancing information retrieval systems with the ability to take the writing style of people into
account opens the door for a number of applications. For example, one can link articles by …

The rapid advancements of Large Language Models (LLMs) make it increasingly
challenging to distinguish between human-written and machine-generated texts, which …