@文章{信息:doi/10.2196/21933，作者=“董、魏、陶、金虎、夏、小林、叶、林、徐、韩丽、江、刘培业、阳阳”，标题=“中国新冠肺炎疫情期间公众情绪与谣言传播:基于网络的相关性研究”，期刊=“J医学互联网研究”，年=“2020”，月=“11”，日=“25”，卷=“22”，数=“11”，页数=“e21933”，关键词=“公众情绪;谣言;infodemic;infodemiology;infoveillance;中国;背景:各种网络谣言导致中国公众在应对COVID-19疫情时出现了不当行为。这些谣言严重影响人们的身心健康。因此，更好地理解疫情期间公众情绪与谣言之间的关系，有助于形成引导公众情绪、辟谣的有效策略。目的:本研究旨在探讨新冠肺炎疫情背景下公众情绪是否与网络谣言传播相关。 Methods: We used the web-crawling tool Scrapy to gather data published by People's Daily on Sina Weibo, a popular social media platform in China, after January 8, 2020. Netizens' comments under each Weibo post were collected. Nearly 1 million comments thus collected were divided into 5 categories: happiness, sadness, anger, fear, and neutral, based on the underlying emotional information identified and extracted from the comments by using a manual identification process. Data on rumors spread online were collected through Tencent's Jiaozhen platform. Time-lagged cross-correlation analyses were performed to examine the relationship between public emotions and rumors. Results: Our results indicated that the angrier the public felt, the more rumors there would likely be (r=0.48, P<.001). Similar results were observed for the relationship between fear and rumors (r=0.51, P<.001) and between sadness and rumors (r=0.47, P<.001). Furthermore, we found a positive correlation between happiness and rumors, with happiness lagging the emergence of rumors by 1 day (r=0.56, P<.001). In addition, our data showed a significant positive correlation between fear and fearful rumors (r=0.34, P=.02). Conclusions: Our findings confirm that public emotions are related to the rumors spread online in the context of COVID-19 in China. Moreover, these findings provide several suggestions, such as the use of web-based monitoring methods, for relevant authorities and policy makers to guide public emotions and behavior during this public health emergency. ", issn="1438-8871", doi="10.2196/21933", url="//www.mybigtv.com/2020/11/e21933/", url="https://doi.org/10.2196/21933", url="http://www.ncbi.nlm.nih.gov/pubmed/33112757" }