摘要
[研究目的]互联网冲突性健康信息普遍存在,当用户遭遇与先验观念不一致的真伪科普信息时,后验观念与健康行为的影响因素、路径及效应研究,对治理伪科普、提高真科普传播效果具有参考价值。[研究方法]论据是判断健康信息真伪与可信度的关键,研究采用“2(冲突性健康信息:真科普vs.伪科普)×3(证据类型:叙事型vs.数据型vs.专业型)”的分组设计,开展情景实验和用户调查,采集相关数据进行统计与路径分析。[研究结果/结论]研究表明,用户遭遇冲突性科普信息后,健康观念有显著变化;包含专业型、数据型论据的真伪科普,其可信度感知及行为影响效应均显著强于叙事型论据;伪科普对健康观念的误导效应比真科普的纠偏效应更强;真科普对健康行为的纠偏效应比伪科普的误导效应更强。据此给出健康信息传播与治理中的路径、重点。
[Research purpose]Conflicting health information is prevalent online.When users encounter true or false information that is inconsistent with their priori perceptions,the influencing factors,path and effects of post perceptions and behaviors will be significant for the governance of false health information and enhancement of the dissemination of true information.[Research method]The study adopted a group design of"2(conflicting health information:true vs.false)×3(evidence types:narrative vs.data vs.professional)",and conducted an experiment and a survey to collect data for statistical analysis.[Research result/conclusion]The results show that there are significant changes in users'opinion after encountering conflicting information.Health information containing professional or data arguments has significantly stronger perceived credibility and behavioral influence than narrative arguments.The misleading effect of false health information on users'opinion is stronger than the corrective effect of true information;The corrective effect of true information on users'behavior intention is stronger than misleading effect of false information.At last,path and priority in the dissemination and governance of health information is put forward.
作者
张薇薇
黎洁
Zhang Weiwei;Li Jie(Nanjing University of Information Science and Technology,Nanjing 210044)
出处
《情报杂志》
北大核心
2025年第5期182-190,共9页
Journal of Intelligence
基金
国家社会科学基金一般项目“网络伪健康知识的生成机理、效应及评估机制研究”(编号:22BTQ056)
江苏省高校哲学社会科学研究重大项目(编号:2022SJZD096)研究成果。
关键词
冲突性健康信息
真伪科普
证据类型
健康观念
健康行为
conflicting health information
true and false health information
evidence types
health opinion
health behavior
作者简介
张薇薇,女,1978年生,博士,教授,研究方向:网络信息资源管理、用户信息行为;黎洁,女,2000年生,硕士研究生,研究方向:用户健康信息行为。
