Attribution and obfuscation of neural text authorship: A data mining perspective
Two interlocking research questions of growing interest and importance in privacy research
are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact …
are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact …
Overview of the authorship verification task at PAN 2022
E Stamatatos, M Kestemont, K Kredens… - CEUR workshop …, 2022 - research.aston.ac.uk
The authorship verification task at PAN 2022 follows the experimental setup of similar
shared tasks in the recent past. However, it focuses on a different, and very challenging …
shared tasks in the recent past. However, it focuses on a different, and very challenging …
[HTML][HTML] Psychographic traits identification based on political ideology: An author analysis study on spanish politicians' tweets posted in 2020
JA García-Díaz, R Colomo-Palacios… - Future Generation …, 2022 - Elsevier
In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
Overview of PAN 2021: authorship verification, profiling hate speech spreaders on twitter, and style change detection
J Bevendorff, B Chulvi… - Experimental IR Meets …, 2021 - Springer
The paper gives a brief overview of the three shared tasks organized at the PAN 2021 lab on
digital text forensics and stylometry hosted at the CLEF conference. The tasks include …
digital text forensics and stylometry hosted at the CLEF conference. The tasks include …
Overview of the “voight-kampff” generative AI authorship verification task at PAN and ELOQUENT 2024
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 …
whether a text was generated by an AI or written by a human. As in its fictional inspiration, 1 …
Same author or just same topic? towards content-independent style representations
Linguistic style is an integral component of language. Recent advances in the development
of style representations have increasingly used training objectives from authorship …
of style representations have increasingly used training objectives from authorship …
Authorship attribution in the era of llms: Problems, methodologies, and challenges
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
On the state of the art in authorship attribution and authorship verification
Despite decades of research on authorship attribution (AA) and authorship verification (AV),
inconsistent dataset splits/filtering and mismatched evaluation methods make it difficult to …
inconsistent dataset splits/filtering and mismatched evaluation methods make it difficult to …
Veridark: A large-scale benchmark for authorship verification on the dark web
Abstract The Dark Web represents a hotbed for illicit activity, where users communicate on
different market forums in order to exchange goods and services. Law enforcement …
different market forums in order to exchange goods and services. Law enforcement …
HANSEN: human and AI spoken text benchmark for authorship analysis
Authorship Analysis, also known as stylometry, has been an essential aspect of Natural
Language Processing (NLP) for a long time. Likewise, the recent advancement of Large …
Language Processing (NLP) for a long time. Likewise, the recent advancement of Large …