Human Values in Stories: Narrative-informed Directions for Value Discovery

Alexandra Barancová, Giovanni Sileno, Sennay Ghebreab


Abstract
This paper examines ways in which narrative inquiry might inform natural language processing methods to explore human values. Considering the centrality of storytelling to human sense-making and the far reach of stories across today’s digital infrastructures, we argue that a narrative lens could be fruitful for computational approaches to value analysis. In this paper, we bring together existing work on narrative understanding and value detection, identifying and elaborating on three focal points for NLP task design: narratives, corpora, and audiences.
Anthology ID:
2026.nlp4pi-1.22
Volume:
Proceedings of the Fifth Workshop on NLP for Positive Impact (NLP4PI)
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Katherine Atwell, Angana Borah, Daryna Dementieva, Elisa Kreiss, Neema Kotonya, Jiarui Liu, Liz Olson, Ruyuan Wan, Jieyu Zhao
Venues:
NLP4PI | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
249–255
Language:
URL:
https://aclanthology.org/2026.nlp4pi-1.22/
DOI:
Bibkey:
Cite (ACL):
Alexandra Barancová, Giovanni Sileno, and Sennay Ghebreab. 2026. Human Values in Stories: Narrative-informed Directions for Value Discovery. In Proceedings of the Fifth Workshop on NLP for Positive Impact (NLP4PI), pages 249–255, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Human Values in Stories: Narrative-informed Directions for Value Discovery (Barancová et al., NLP4PI 2026)
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PDF:
https://aclanthology.org/2026.nlp4pi-1.22.pdf