Asymmetric effects of semantic compatibility and structural bridging on content propagation: evidence from community vernacular combinations on social media platforms

J Jingjing Mu X Xing Yuan (State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences) V Vasylieva Olena Serhiivna Q Qian Zhao (Zhejiang University , , ,) Y Yue Zhu (Materials Science and Engineering Program and Walker Department of Mechanical Engineering)

Abstract

Abstract The rapid expansion of social media platforms and the fragmentation of interest communities have created new theoretical demands for understanding content propagation. Users routinely combine community-specific semantic vernaculars in their content, yet combination-level propagation patterns remain invisible within single-vernacular frameworks. This study constructs a color vernacular co-occurrence network from ACG-related posts on Xiaohongshu (January 2024 to March 2025) and examines how cognitive hierarchy compatibility and network structural position jointly associate with combination propagation outcomes. Three findings emerge. First, semantic hierarchy compatibility positively associates with propagation synergy: within-level compatible combinations correspond to higher propagation gains and cross-level incompatible combinations correspond to negative synergy. Second, cognitive distance associates with propagation outcomes in a monotonically accelerating declining pattern, which does not support the inverted-U hypothesis, because the cognitive gains from semantic novelty cannot offset the decoding burden that accelerates as hierarchical distance increases. Third, semantic hierarchy and community structure show opposite directional associations: cross-level semantics correspond to a negative association while cross-community bridging corresponds to a positive association, and cognitively compatible cross-community combinations consistently outperform incompatible ones. Maintaining semantic hierarchy compatibility while pursuing structural bridging, and incorporating cognitive compatibility into platform recommendation mechanisms, are productive directions for future research.

Article Details

Volume / Issue Vol. 16, Issue 1
Published May 09, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

J

Jingjing Mu

X

Xing Yuan

State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences

V

Vasylieva Olena Serhiivna

Q

Qian Zhao

Zhejiang University , , ,

Y

Yue Zhu

Materials Science and Engineering Program and Walker Department of Mechanical Engineering