Network structure shapes consensus dynamics through individual decisions
成果类型:
Article
署名作者:
Priniski, J. Hunter; Linford, Bryce; Hirschmann, Anna; Venumuddala, Sai Krishna; Morstatter, Fred; Rodriguez, Nancy; Brantingham, P. Jeffrey; Lu, Hongjing
署名单位:
University of California System; University of California Los Angeles; University of Colorado System; University of Colorado Boulder; University of Southern California; University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-8424; 1091-6490
DOI:
10.1073/pnas.2520483123
发表日期:
2026-01-13
页码:
e2520483123
关键词:
online networks
narratives
group dynamics
digital media
NLP
SITUATION MODELS
comprehension
CONSTRUCTION
emergence
online
摘要:
How do shared narratives emerge in decentralized online networks? Prior research using simplified group coordination tasks (e.g., face-naming) shows network structure shapes group consensus, but the underlying cognitive mechanisms remain unclear. Here, we examine how network structure influences the emergence and semantic content of shared narrative beliefs in experimental online social networks, using natural language processing measures and agent-based modeling. Media content with complex causal structure attenuates network structure effects by encouraging longer exploration of background knowledge. Yet network structure still shapes the narrative content communicated. An embedding-based narrative alignment measure shows that fully connected groups orient their interactions more toward communicating causes of an event, whereas locally connected networks emphasize the event's effects. A group's network structure also influences representational and language change in personal narratives: participants in fully connected networks showed the largest increase in causal language in personal narratives written after interaction, which also orient more around the narrative's causal events.
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