Re-evaluating the Tomes for the Times

Publication date

2024-05

Authors

Brate, RyanISNI 000000051363128X
Erp, Marieke van
van den Bosch, AntalORCID 0000-0003-2493-656XISNI 0000000114780122

Editors

Calzolari, Nicoletta
Kan, Min-Yen
Hoste, Veronique
Lenci, Alessandro
Sakti, Sakriani
Xue, Nianwen

Advisors

Supervisors

DOI

Document Type

Part of book
Open Access logo

License

cc_by

Abstract

Literature is to some degree a snapshot of the time it was written in and the societal attitudes of the time. Not all depictions are pleasant or in-line with modern-day sensibilities; this becomes problematic when the prevalent depictions over a large body of work are negatively biased, leading to their normalisation. Many much-loved and much-read classics are set in periods of heightened social inequality: slavery, pre-womens' rights movements, colonialism, etc. In this paper, we exploit known text co-occurrence metrics with respect to token-level level contexts to identify prevailing themes associated with known problematic descriptors. We see that prevalent, negative depictions are perpetuated by classic literature. We propose that such a methodology could form the basis of a system for making explicit such problematic associations, for interested parties: such as, sensitivity coordinators of publishing houses, library curators, or organisations concerned with social justice.

Keywords

bias in literature, charged terms, corpus linguistics, Theoretical Computer Science, Computational Theory and Mathematics, Computer Science Applications

Citation

Brate, R, Erp, M V & van den Bosch, A 2024, Re-evaluating the Tomes for the Times. in N Calzolari, M-Y Kan, V Hoste, A Lenci, S Sakti & N Xue (eds), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, European Language Resources Association (ELRA), pp. 13734–13739, Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024, Hybrid, Torino, Italy, 20/05/24. < https://aclanthology.org/2024.lrec-main.1199 >, conference