Zhao et al., "Discovering Collective Narratives Shifts in Online Discussions" (2024)
2026-08-01
Wanying Zhao, Siyi Guo, Kristina Lerman, and Yong-Yeol Ahn, Proceedings of the International AAAI Conference on Web and Social Media 18, 1804–1817 (2024)
DOI | arXiv | PDF
@inproceedings{zhao2024discovering,
author = {Wanying Zhao and Siyi Guo and Kristina Lerman and Yong-Yeol Ahn},
title = {Discovering Collective Narratives Shifts in Online Discussions},
booktitle = {{Proceedings of the 18th International AAAI Conference on Web and Social Media (ICWSM)}},
volume = {18},
pages = {1804--1817},
month = {5},
year = {2024},
archivePrefix = {arXiv},
eprint = {2307.08541},
primaryClass = {cs.CL},
doi = {10.1609/icwsm.v18i1.31427},
}
Narrative, Semantic role labeling
The paper combines change-point detection with semantic role labeling to extract actor-action-patient fragments, then aggregates them into narrative networks. On Twitter corpora about COVID-19 and the 2017 French election, the method recovers collective narrative shifts that correspond to major events.