RESEARCH PAPERS

A Study of Data-Driven Thematic Features of Users’ Health Information Behavior on the Content Social Platform

  • Guo Yu ,
  • Liu Mengting ,
  • Liu Fangyu ,
  • Yang Mengqing
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  • 1 School of Business and Management, Jilin University, Changchun 130022;
    2 The Information Resource Research, Jilin University, Changchun 130022;
    3 School of Journalism and Communication, Nanjing Normal University, Nanjing 210023
Guo Yu,associate professor,PhD,doctoral supervisor;Liu Mengting,master candidate;Liu Fangyu,master candidate;Yang Mengqing,lecturer,PhD,corresponding author,E-mail:mqyang@nnu.edu.cn.

Received date: 2024-03-21

  Revised date: 2024-06-18

  Online published: 2025-03-07

Supported by

This work is supported by the general project of the National Social Science Fund of China titled “Research on Multimodal Network Data Security Situation Awareness and Risk Collaborative Governance Mechanism” (Grant No. 23BTQ076).

Abstract

[Purpose/Significance] The study of the health information behavior of sport groups on the content social platform not only improves the cognition and literacy of personal health information, but also expands the group boundary of research. It can also provide theoretical reference for personalized recommendation services on the content social platform. [Method/Process] Based on the S-O-R theory, this study constructed a logical framework and adopted web crawler technology to collect the text data from sports records on Xiaohongshu. Then, it analyzed the thematic characteristics of user health information behavior by the sentiment classification from sentiment lexicons and K-means clustering methods from machine learning. [Result/Conclusion] Based on the S-O-R theory, the thematic characteristics model of user behavior is constructed based on the subject words. The model provides a research basis for users to improve their awareness of physical activity and institutions to launch high-quality health information services.

Cite this article

Guo Yu , Liu Mengting , Liu Fangyu , Yang Mengqing . A Study of Data-Driven Thematic Features of Users’ Health Information Behavior on the Content Social Platform[J]. Library and Information Service, 2025 , 69(5) : 71 -80 . DOI: 10.13266/j.issn.0252-3116.2025.05.007

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