摘要
[目的/意义]伪健康信息广泛传播会给公众健康带来不可预测的风险,探究在线社会化学习对公众伪健康信息甄别、分享和虚假宣传认知的影响,有助于从社会化学习角度帮助公众进行理性健康决策以及促进伪健康信息治理。[方法/过程]通过设计实验,选取已被证实的伪健康信息作为实验材料,运用配对样本T检验、独立样本T检验、单因素ANOVA检验分析在线社会化学习对公众伪健康信息甄别和自信程度的影响,并利用线性回归探究影响公众分享行为的因素。[结果/结论]结果发现,在线社会化学习可以提高公众伪健康信息甄别能力,增强对自我判断的肯定;用户背景信息越透明,对风险的认知能力越强;同时信息真实程度对用户分享行为没有显著影响。由此提出相关建议,为社交媒体平台应对伪健康信息治理提供理论参考。
[Purpose/Significance]The widespread dissemination of false health information will bring unpredictable risks to public health.Exploring the impact of online social learning on public perceptions of false health information identification,sharing and false propaganda can help the public make rational health decisions and promote the governance of false health information from the perspective of social learning.[Method/Process]Through designing the experiment,the verified false health information was selected as the experimental material,and the influence of online social learning on the public’s identification and confidence level of false health information was analyzed by using paired sample T test,independent sample T test and single factor ANOVA test.Moreover,the factors affecting the public sharing behavior were explored by using linear regression.[Result/Conclusion]The results showed that online social learning can improve the public’s ability to distinguish false health information and enhanced the affirmation of self-judgment.The more transparent the user’s background information,the better the risk cognition ability.At the same time,the degree of information authenticity has no significant effect on users’sharing behavior.Therefore,relevant suggestions are provided to provide theoretical reference for social media platforms to deal with false health information governance.
作者
吕柠
夏志杰
Lü Ning;Xia Zhijie(School of Management,Shanghai University of Engineering Science,Shanghai 201620)
出处
《知识管理论坛》
2024年第1期30-42,共13页
Knowledge Management Forum
基金
国家社会科学基金一般项目“大数据支持下网络谣言智慧治理机制及运行策略研究”(项目编号:21BGL243)
上海市哲学社会科学规划一般项目“大数据时代伪健康信息传播特征及多主体协同干预研究”(项目编号:2020BGL005)研究成果之一
关键词
伪健康信息
在线社会化学习
信息甄别
社交媒体平台
false health information
online social learning
information judgment
social media platform
