内容社交平台数据驱动的用户健康信息行为主题特征研究  

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

作　　者：郭宇[1,2] 刘梦婷 刘芳妤[1] 杨梦晴 Guo Yu;Liu Mengting;Liu Fangyu;Yang Mengqing(School of Business and Management,Jilin University,Changchun 130022;The Information Resource Research,Jilin University,Changchun 130022;School of Journalism and Communication,Nanjing Normal University,Nanjing 210023)

机构地区：[1]吉林大学商学与管理学院,长春130022 [2]吉林大学信息资源研究中心,长春130022 [3]南京师范大学新闻与传播学院,南京210023

出　　处：《图书情报工作》2025年第5期71-80,共10页Library and Information Service

基　　金：国家社会科学基金一般项目“多模态网络数据安全态势感知及风险协同治理机制研究”(项目编号:23BTQ076)研究成果之一。

摘　　要：[目的/意义]开展内容社交平台上运动群体健康信息行为的研究,可以提高用户个体健康信息认知素养,同时也能扩展健康信息行为研究的群体边界,为内容社交平台个性化定制服务提供理论参考。[方法/过程]基于S-O-R理论构建研究的逻辑框架,利用相关爬虫技术收集小红书上运动笔记的文本数据,运用情感词典的情感分类法和机器学习中K-means聚类方法分析用户健康信息行为的主题特征。[结果/结论 ]在S-O-R理论基础上,结合主题词构建用户行为主题特征模型。该模型为内容社交平台上用户提高身体活动意识,以及相关平台推出高质量的健康信息服务提供依据。[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 bound-ary 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 character-istics 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.

关 键 词：内容社交平台 健康信息行为 主题特征 

分 类 号：G252[文化科学—图书馆学]