Recent advancements in pre-trained language models have enabled convenient methods
for generating human-like text at a large scale. Though these generation capabilities hold …

We present a new resource to analyze and detect deceptive information that is present in a
huge amount of news websites. Specifically, we compiled a corpus of news in the Spanish …

Ways of individual style expression in a natural language include amongst other things
stylometric features. These can be automatically detected with the use of computational …

The task of fake news detection is to distinguish legitimate news articles that describe real
facts from those which convey deceiving and fictitious information. As the fake news …

The paper presents a new corpus for fake news detection in the Urdu language along with
the baseline classification and its evaluation. With the escalating use of the Internet …

Online questionnaires that use crowdsourcing platforms to recruit participants have become
commonplace, due to their ease of use and low costs. Artificial intelligence (AI)-based large …

The article focuses on a careful description of literature on stylometry and on its potential use
in forensic science. The state of the art of stylometry is summarized to illustrate the history …

This paper introduces the application of Virtual Softmax for the PAN 2024 multi author
writing style analysis task. We found that tasks with the same topic are particularly …

The goal of the Style Change Detection task is to detect the stylistic changes in a document
and exploit them to determine the number of authors. This study reviewed nineteen (19) …

The emergence of large language models (LLMs) opens up many opportunities, such as text
generation, language translation, and human-like question-answering. While these …