WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis

Dung Tuan Nguyen; G. Çağatay Sat; Evgeny Pyshkin; John Blake

doi:10.18653/v1/2026.latechclfl-1.31

WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis

Dung Tuan Nguyen
, G. Çağatay Sat
, Evgeny Pyshkin
, John Blake

Center for Language Research (CLR)

Research output: Chapter in Book/Published conference output › Conference publication

1 Citation (SciVal)

Abstract

This paper presents the design and construction of WikiFirst, a corpus for investigating the impact of content variation on authorship similarity under a fixed genre. Prior work has investigated individual authorial style and impact of genre. However, the role of content has remained underexplored due to the lack of suitable data. We address this gap by constructing a Wikipedia-based corpus consisting exclusively of first revisions authored by non-anonymous editors, thereby ensuring high authorship certainty while maintaining a stable encyclopaedic genre.

Original language	English
Title of host publication	10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Subtitle of host publication	Proceedings of the Workshop
Editors	Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Janis Pagel, Stan Szpakowicz
Publisher	Association for Computational Linguistics (ACL)
Pages	323-327
Number of pages	5
ISBN (Electronic)	9798891763739
DOIs	https://doi.org/10.18653/v1/2026.latechclfl-1.31
Publication status	Published - 28 Mar 2026
Event	10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, SIGHUM 2026 - Rabat, Morocco Duration: 28 Mar 2026 → 29 Mar 2026

Conference

Conference	10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, SIGHUM 2026
Country/Territory	Morocco
City	Rabat
Period	28/03/26 → 29/03/26

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10.18653/v1/2026.latechclfl-1.31Licence: CC BY 4.0

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Nguyen, D. T., Sat, G. Ç., Pyshkin, E., & Blake, J. (2026). WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis. In D. Alves, Y. Bizzoni, S. Degaetano-Ortlieb, A. Kazantseva, J. Pagel, & S. Szpakowicz (Eds.), 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Proceedings of the Workshop (pp. 323-327). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2026.latechclfl-1.31

Nguyen, Dung Tuan ; Sat, G. Çağatay ; Pyshkin, Evgeny et al. / WikiFirst : A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis. 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Proceedings of the Workshop. editor / Diego Alves ; Yuri Bizzoni ; Stefania Degaetano-Ortlieb ; Anna Kazantseva ; Janis Pagel ; Stan Szpakowicz. Association for Computational Linguistics (ACL), 2026. pp. 323-327

@inproceedings{248ece22ca5742daa7c0b0751c4bb223,

title = "WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis",

abstract = "This paper presents the design and construction of WikiFirst, a corpus for investigating the impact of content variation on authorship similarity under a fixed genre. Prior work has investigated individual authorial style and impact of genre. However, the role of content has remained underexplored due to the lack of suitable data. We address this gap by constructing a Wikipedia-based corpus consisting exclusively of first revisions authored by non-anonymous editors, thereby ensuring high authorship certainty while maintaining a stable encyclopaedic genre.",

author = "Nguyen, \{Dung Tuan\} and Sat, \{G. {\c C}ağatay\} and Evgeny Pyshkin and John Blake",

year = "2026",

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doi = "10.18653/v1/2026.latechclfl-1.31",

language = "English",

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editor = "Diego Alves and Yuri Bizzoni and Stefania Degaetano-Ortlieb and Anna Kazantseva and Janis Pagel and Stan Szpakowicz",

booktitle = "10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",

publisher = "Association for Computational Linguistics (ACL)",

address = "Australia",

note = "10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, SIGHUM 2026 ; Conference date: 28-03-2026 Through 29-03-2026",

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Nguyen, DT, Sat, GÇ, Pyshkin, E & Blake, J 2026, WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis. in D Alves, Y Bizzoni, S Degaetano-Ortlieb, A Kazantseva, J Pagel & S Szpakowicz (eds), 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Proceedings of the Workshop. Association for Computational Linguistics (ACL), pp. 323-327, 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, SIGHUM 2026, Rabat, Morocco, 28/03/26. https://doi.org/10.18653/v1/2026.latechclfl-1.31

WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis. / Nguyen, Dung Tuan; Sat, G. Çağatay; Pyshkin, Evgeny et al.
10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Proceedings of the Workshop. ed. / Diego Alves; Yuri Bizzoni; Stefania Degaetano-Ortlieb; Anna Kazantseva; Janis Pagel; Stan Szpakowicz. Association for Computational Linguistics (ACL), 2026. p. 323-327.

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Nguyen, Dung Tuan

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AU - Blake, John

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AB - This paper presents the design and construction of WikiFirst, a corpus for investigating the impact of content variation on authorship similarity under a fixed genre. Prior work has investigated individual authorial style and impact of genre. However, the role of content has remained underexplored due to the lack of suitable data. We address this gap by constructing a Wikipedia-based corpus consisting exclusively of first revisions authored by non-anonymous editors, thereby ensuring high authorship certainty while maintaining a stable encyclopaedic genre.

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Nguyen DT, Sat GÇ, Pyshkin E, Blake J. WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis. In Alves D, Bizzoni Y, Degaetano-Ortlieb S, Kazantseva A, Pagel J, Szpakowicz S, editors, 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2026. p. 323-327 doi: 10.18653/v1/2026.latechclfl-1.31

WikiFirst: A Genre-Fixed, Content-controlled Corpus for Evaluating Content Effects in Authorship Analysis

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