The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404 · see citing works

Scikit-learn: Machine Learning in Python

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 48,293 · see citing works

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019) · arXiv · doi:10.48550/arxiv.1907.11692 · Cited by 16,515 · see citing works

Deep Contextualized Word Representations

Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1202 · Cited by 11,983 · see citing works

The Stanford CoreNLP Natural Language Processing Toolkit

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Universal Language Model Fine-tuning for Text Classification

Howard, J., & Ruder, S. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1031 · Cited by 4,100 · see citing works

HuggingFace's Transformers: State-of-the-art Natural Language Processing

Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., et al. (2019) · arXiv · doi:10.48550/arxiv.1910.03771 · Cited by 3,347 · see citing works

A survey of modern authorship attribution methods

Stamatatos, E. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21001 · Cited by 1,176 · see citing works

Authorship Attribution

Juola, P. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000005 · Cited by 505 · see citing works

Inference in an Authorship Problem: A Comparative Study of Discrimination Methods Applied to the Authorship of the Disputed<i>Federalist</i>Papers

Mosteller, F., & Wallace, D. L. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500849 · Cited by 466 · see citing works

The Characteristic Curves of Composition

Mendenhall, T. C. (1887) · Science · doi:10.1126/science.ns-9.214s.237 · Cited by 407 · see citing works

Authorship Attribution for Social Media Forensics

Rocha, A., Scheirer, W. J., Forstall, C. W., Cavalcante, T., Theophilo, A., Shen, B., Carvalho, A. R. B., & Stamatatos, E. (2017) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2016.2603960 · Cited by 222 · see citing works

N-Gram Feature Selection for Authorship Identification

Houvardas, J., & Stamatatos, E. (2006) · Lecture notes in computer science · doi:10.1007/11861461_10 · Cited by 201 · see citing works

Not All Character N-grams Are Created Equal: A Study in Authorship Attribution

Sapkota, U., Bethard, S. J., Montes, M., & Solorio, T. (2015) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.3115/v1/n15-1010 · Cited by 159 · see citing works

The effect of author set size and data size in authorship attribution

Luyckx, K., & Daelemans, W. M. P. (2010) · Literary and Linguistic Computing · doi:10.1093/llc/fqq013 · Cited by 157 · see citing works

On the Robustness of Authorship Attribution Based on Character N -gram Features

Stamatatos, E. (2013) · Journal of law and policy · Cited by 140 · see citing works

A novel approach of mining write-prints for authorship attribution in e-mail forensics

Iqbal, F., Hadjidj, R., Fung, B. C. M., & Debbabi, M. (2008) · Digital Investigation · doi:10.1016/j.diin.2008.05.001 · Cited by 128 · see citing works

Identifying Authorship by Byte-Level N-Grams: The Source Code Author Profile (SCAP) Method.

Frantzeskou, G., Stamatatos, E., Gritzalis, S., Chaski, C. E., & Howald, B. S. (2007) · International journal of digital evidence · Cited by 118 · see citing works

A unified data mining solution for authorship analysis in anonymous textual communications

Iqbal, F., Binsalleeh, H., Fung, B. C. M., & Debbabi, M. (2011) · Information Sciences · doi:10.1016/j.ins.2011.03.006 · Cited by 102 · see citing works

Authorship Attribution Using Text Distortion

Stamatatos, E. (2017) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/e17-1107 · Cited by 98 · see citing works

‘twazn me!!! ;(’ Automatic Authorship Analysis of Micro-Blogging Messages

Sousa‐Silva, R., Laboreiro, G., Sarmento, L., Grant, T., Oliveira, E., & Maia, B. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22327-3_16 · Cited by 80 · see citing works

Visualizing Authorship for Identification

Abbasi, A., & Chen, H. (2006) · Lecture notes in computer science · doi:10.1007/11760146_6 · Cited by 71 · see citing works

The Characteristic Curves of Composition

Eddy, H. T. (1887) · Science · doi:10.1126/science.ns-9.216.297.a · Cited by 63 · see citing works

Cross-Domain Authorship Attribution Using Pre-trained Language Models

Barlas, G., & Stamatatos, E. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-49161-1_22 · Cited by 54 · see citing works

Masking topic‐related information to enhance authorship attribution

Stamatatos, E. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23968 · Cited by 51 · see citing works

Syntax Encoding with Application in Authorship Attribution

Zhang, R., Hu, Z., Guo, H., & Mao, Y. (2018) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d18-1294 · Cited by 50 · see citing works

Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?

Sapkota, U., Solorio, T., Bethard, S. J., & Rosso, P. (2015) · Cited by 34 · see citing works

Cross-Language Authorship Attribution

Bogdanova, D., & Lazaridou, A. (2014) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/4eyemy7dowat · Cited by 28 · see citing works

A Visualizable Evidence-Driven Approach for Authorship Attribution

Ding, S. H. H., Fung, B. C. M., & Debbabi, M. (2015) · ACM Transactions on Information and System Security · doi:10.1145/2699910 · Cited by 26 · see citing works

Arabic Authorship Attribution

Altakrori, M. H., Iqbal, F., Fung, B. C. M., Ding, S. H. H., & Tubaishat, A. (2018) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3236391 · Cited by 24 · see citing works

Person Identification from Text and Speech Genre Samples

Goldstein-Stewart, J., Winder, R., & Sabin, R. E. (2009) · Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on - EACL '09 · doi:10.3115/1609067.1609104 · Cited by 22 · see citing works

What represents “style” in authorship attribution?

Sundararajan, K., & Woodard, D. L. (2018) · International Conference on Computational Linguistics · Cited by 22 · see citing works

Authorship Attribution of IRC Messages Using Inverse Author Frequency

Layton, R., McCombie, S. J., & Watters, P. (2012) · Cybercrime and Trustworthy Computing Workshop (CTC) · doi:10.1109/ctc.2012.11 · Cited by 20 · see citing works

An Ensemble Approach to Cross-Domain Authorship Attribution

Custódio, J. E., & Paraboni, I. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-28577-7_17 · Cited by 18 · see citing works

A transfer learning approach to cross-domain authorship attribution

Barlas, G., & Stamatatos, E. (2021) · Evolving Systems · doi:10.1007/s12530-021-09377-2 · Cited by 15 · see citing works

Is the contextual information relevant in text clustering by compression?

Granados, A., Camacho, D., & Rodrı́guez, F. B. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.01.215 · Cited by 11 · see citing works

Learning Stylometric Representations for Authorship Analysis

Ding, S. H. H., Fung, B. C. M., Iqbal, F., & Cheung, W. K. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2766189 · Cited by 5 · see citing works

Mode Effects’ Challenge to Authorship Attribution

Wang, H., Riddell, A. B., & Juola, P. (2021) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2021.eacl-main.97 · Cited by 4 · see citing works

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

Huang, B., Chen, C., & Shu, K. (2025) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3715073.3715076 · Cited by 42 · see citing works

Understanding writing style in social media with a supervised contrastively pre-trained transformer

Huertas‐Tato, J., Martín, A. G., & Camacho, D. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111867 · Cited by 15 · see citing works

Evaluating Synthetic Data Generation from User Generated Text

Chim, J., Ive, J., & Liakata, M. (2024) · Computational Linguistics · doi:10.1162/coli_a_00540 · Cited by 10 · see citing works

Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis

Tyo, J., Dhingra, B., & Lipton, Z. C. (2023) · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · doi:10.18653/v1/2023.ijcnlp-main.43 · Cited by 6 · see citing works

A Comparison of Several AI Techniques for Authorship Attribution on Romanian Texts

Avram, S.-M., & Oltean, M. (2022) · Mathematics · doi:10.3390/math10234589 · Cited by 5 · see citing works

Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification

Sawatphol, J., Udomcharoenchaikit, C., & Nutanong, S. Y. (2024) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00709 · Cited by 5 · see citing works

A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques

Altakrori, M. H., Scialom, T., Fung, B. C. M., & Cheung, J. C. K. (2022) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2022.emnlp-main.153 · Cited by 2 · see citing works

Improving Long-Text Authorship Verification via Model Selection and Data Tuning

Nguyen, T., Dagli, C. K., Alperin, K., VanDam, C., & Singer, E. (2023) · Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL) · doi:10.18653/v1/2023.latechclfl-1.4 · Cited by 1 · see citing works

Learning the Style via Mixed SN-Grams: An Evaluation in Authorship Attribution

Posadas-Durán, J. P., Ríos-Toledo, G., Velázquez-Lozada, E., Osuna-Coutiño, J. A. D. J., Pérez‐Patricio, M., & Pech-May, F. (2025) · AI · doi:10.3390/ai6050104 · Cited by 1 · see citing works

Authorship Analysis with Machine Learning

Ahmed, W., Javed, A. R., Jalil, Z., & Iqbal, F. (2022) · Springer eBooks · doi:10.1007/978-1-4899-7502-7_986-1

The robustness of Japanese stylometric features to topic variability in authorship analysis

Zaitsu, W., Jin, M., Ishihara, S., Tsuge, S., & Inaba, M. (2026) · Behaviormetrika · doi:10.1007/s41237-026-00319-3

From Stylometry to Machine Learning: NLP Metrics and Classification Models in the Attribution of the Text of the Kazan Student Pilgrims of 1908

Ismakaeva, I. D., Senina, A. V., & Shapovalov, M. S. (2026) · Историческая информатика · doi:10.7256/2585-7797.2026.3.81047

The Topic Confusion Task: A Novel Scenario for Authorship AttributionPreprint

Altakrori, M. H., Cheung, J. C. K., & Fung, B. C. M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.08530 · Cited by 1 · see citing works

Authorship Attribution Using Text Distortion

Stamatatos, E. (2017) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/e17-1107 · Cited by 98 · see citing works

Topic or style? Exploring the most useful features for authorship attribution

Sari, Y. A. P., Stevenson, M., & Vlachos, A. (2018) · Apollo (University of Cambridge) · doi:10.17863/cam.78746 · Cited by 48 · see citing works

Novel Topic Impact on Authorship Attribution

Caver, J. F. (2009) · Cited by 1 · see citing works

Masking topic‐related information to enhance authorship attribution

Stamatatos, E. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23968 · Cited by 51 · see citing works