现代情报2025，Vol.45Issue(10)：51-63,13.DOI:10.3969/j.issn.1008-0821.2025.10.005
织网者的话语:跨社交媒体信息推荐的作用机理研究
The Discourse of Weavers:A Study on the Mechanism of Cross-Social Media Information Recommendation
摘要
Abstract
[Purpose/Significance]The behavior of users navigating across social media platforms has driven the inno-vation of information recommendation methods,where the same recommendation information traverses different social plat-forms,forming a cross-social media information recommendation network.However,the mechanism of this approach is not yet clear.Investigating the mechanism of cross-social media information recommendation can offer new theoretical per-spectives and model frameworks.[Method/Process]Based on the theories of Cue Consistency and Trust Transfer,a theoreti-cal model was constructed,and hypotheses were tested using questionnaire surveys and the Partial Least Squares Structural Equation Modeling(PLS-SEM)method.[Result/Conclusion]The research findings indicate that content consistency,cue consistency,social platform trust,and sender trust significantly influence the trust in information cues,which in turn posi-tively affects information adoption.Additionally,social platform trust and sender trust positively moderate the relationships between content consistency,comment consistency,and trust in information cues,respectively.Furthermore,the consis-tency of social platform trust facilitates the impact of trust in information cues on information adoption,exhibiting a comple-mentary relationship with trust in information cues.Conversely,the consistency of sender trust inhibits the impact of trust in information cues on information adoption,demonstrating a substitutive relationship with trust in information cues.This study enriches the theoretical foundation of cross-social media information recommendation and provides insights for social platforms,information senders,and enterprises utilizing cross-social media information recommendation.关键词
跨社交媒体/信息推荐/信息转移/线索一致性Key words
cross-social media/information recommendation/information transfer/cue consistency分类
社会科学引用本文复制引用
黄伟鑫,毕达天,朱梓萌,王传清..织网者的话语:跨社交媒体信息推荐的作用机理研究[J].现代情报,2025,45(10):51-63,13.基金项目
富媒体数字出版内容组织与知识服务重点实验室开放基金"数字中国建设下富媒体出版数据安全与治理研究" （）
2024年首都科技期刊卓越行动计划北京科技期刊建设调研项目"科技期刊数据安全管理机制与治理措施". （）
