Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey
Information (Switzerland)Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection
Xie He +2 more
exaly +4 more sources
On the State of the Art in Authorship Attribution and Authorship Verification [PDF]
CoRR, 2022 Despite decades of research on authorship attribution (AA) and authorship verification (AV), inconsistent dataset splits/filtering and mismatched evaluation methods make it difficult to assess the state of the art. In this paper, we present a survey of the fields, resolve points of confusion, introduce Valla that standardizes and benchmarks AA/AV ...
Jacob Tyo +2 more
openaire +3 more sources
Authorship attribution of source code by using back propagation neural network based on particle swarm optimization. [PDF]
PLoS ONE, 2017 Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to ...
Xinyu Yang +4 more
doaj +2 more sources
Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code
IEEE Access, 2023 Source code authorship attribution is the task of identifying who develops the code based on learning based on the programmer style. It is one of the critical activities which used extensively in different aspects such as computer security, computer law,
Bilal Al-Ahmad +8 more
doaj +2 more sources
Cracking double-blind review: Authorship attribution with deep learning [PDF]
PLoS One, 2022 Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion.
L. Bauersfeld +3 more
semanticscholar +2 more sources
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges [PDF]
SIGKDD ExplorAccurate attribution of authorship is crucial for maintaining the integrity of digital content, improving forensic investigations, and mitigating the risks of misinformation and plagiarism. Addressing the imperative need for proper authorship attribution
Baixiang Huang, Canyu Chen, Kai Shu
semanticscholar +2 more sources
Mental profile mapping: A psychological single-candidate authorship attribution method. [PDF]
PLoS ONE, 2018 Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper ...
Ryan L Boyd
doaj +2 more sources
Authorship Attribution with Topic Models [PDF]
Computational Linguistics, 2022 Authorship attribution deals with identifying the authors of anonymous texts. Traditionally, research in this field has focused on formal texts, such as essays and novels, but recently more attention has been given to texts generated by on-line users, such as e-mails and blogs.
Yanir Seroussi +2 more
doaj +2 more sources
Naïve Bayes classifiers for authorship attribution of Arabic texts
Journal of King Saud University - Computer and Information Sciences, 2014 Authorship attribution is the process of assigning an author to an anonymous text based on writing characteristics. Several authorship attribution methods were developed for natural languages, such as English, Chinese and Dutch.
Mohamed El Bachir Menai
exaly +3 more sources
Authorship attribution based on Life-Like Network Automata. [PDF]
PLoS ONE, 2018 The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts.
Jeaneth Machicao +4 more
doaj +2 more sources