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Please note that all times are shown in the time zone of the conference. The current conference time is: 31st Oct 2025, 06:18:31pm WET
LP-37: Authorship Attribution, Stylometry and Women in DH Research
Time:
Friday, 18/July/2025:
4:00pm - 5:30pm
Session Chair: Marie Anna Puren , EPITA
Location: B302 (TB) Zoom link to be included 60 places
Presentations
ANÁLISE DA PRODUÇÃO CIENTÍFICA DE AUTORIA FEMININA NA REVISTA DIGITAL HUMANITIES QUARTERLY (2015-2024)
Anabela Costa 1 , Maria Manuel Borges2 , Manuela Barreto Nunes2
1 Universidade de Coimbra, Faculdade de Letras, Portugal; 2 Universidade de Coimbra, CEIS20, Faculdade de Letras, Portugal
O estudo analisa a representatividade de género nas Humanidades Digitais, examinando padrões de autoria na Digital Humanities Quarterly entre 2015-2024. Os resultados preliminares revelam 50,9% de autoras no período compreendido entre 2018-2022, desafiando pressupostos anteriores sobre disparidades de género na publicação científica naquela área.
The Director’s Signature: Stylometry of Theater Choreography via Pose and Action Estimation
Peter Broadwell , Michael Rau, Simon Wiles, Vijoy Abraham
Stanford University, United States of America
We apply distant-viewing analyses of pose and action recognition data to 30 full-length recorded works from three prominent theater directors (10 per director) to explore how computational methods can detect a director’s oeuvre-scale choreographic tendencies from video sources. We further evaluate which features best delineate such stylistic “signatures.”
A Riddle in a Haystack. LLM Detection of Intricate Wordplays in Colette and Willy’s novels for authorship attribution
Florian Cafiero 1,2 , Marie Puren 3,2
1 PSL University, France; 2 Centre Jean Mabillon, Ecole nationale des chartes - PSL, France; 3 Laboratoire de Recherche d'EPITA, EPITA, France
This study leverages a LLM-based wordplay detection pipeline for authorship attribution in Colette's disputed works. Combining semantic segmentation, emotion filtering, named entity recognition and wordplay annotation, we detect a few intricate wordplays consistent with Willy's style. Results support minimal direct influence from Willy while identifying targeted passages, offering insights into collaborative authorship processes.
