Authorship Attribution (AA) is crucial for identifying the author of a given text from a pool of
suspects, especially with the widespread use of the internet and electronic devices …

Abstract We introduce the Style Transformer for Authorship Representations (STAR) to
detect and characterize writing style in social media. The model is trained on a …

Authors writing documents imprint identifying information within their texts: vocabulary,
registry, punctuation, misspellings, or even emoji usage. Finding these details is very …

As social media platforms gain popularity and influence, content integrity and user
accountability issues become more critical. Authorship attribution (AA) is a powerful tool for …

Authorship attribution and profiling tools provide useful instruments with wide areas of
application, such as disinformation spreaders detection. Models developed until now to fulfil …

Author Attribution has various practical applications such as identifying plagiarism or
assigning authorship in historical texts, and plays a crucial role in forensic linguistics. Recent …

Social media have gained extreme popularity due to the explosive growth of
cyberinfrastructures, mobile devices, Internet technologies, and services. However, they also …

Since statistical analysis of poetry is a challenging task in Natural Language Processing
(NLP), making inferences about the poets also becomes a very challenging task. In this …

In this paper, we demonstrate that physical waves can be used to perform convolutions as
part of a state-of-the-art neural network architecture. In particular, we show that the damping …

Dark web vendor identification can be seen as an authorship aliasing problem, aiming to
determine whether different accounts on different markets belong to the same real-world …