说服
透视图(图形)
社会化媒体
政府(语言学)
信息共享
论证(复杂分析)
独创性
同性恋
社会心理学
价值(数学)
心理学
身份(音乐)
传播
社会学
公共关系
计算机科学
政治学
万维网
电信
语言学
哲学
生物化学
化学
物理
人工智能
机器学习
创造力
声学
作者
Fan Chao,Xin Wang,Guang Yu
出处
期刊:Internet Research
[Emerald Publishing Limited]
日期:2023-06-15
卷期号:34 (5): 1545-1576
被引量:8
标识
DOI:10.1108/intr-07-2022-0497
摘要
Purpose Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target. Design/methodology/approach The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo. Findings First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government. Originality/value The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.
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