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Article ; Online: Text mining online disinformation about antihypertensive agents ACEI/ARB and COVID-19 on Sina Weibo.

Wang, Chunli / Fang, Bing / Regmi, Aksara / Yamaguchi, Yoshifumi / Yang, Ling / Cai, Yuyang

2023 Volume 13, Page(s) 6028

Abstract: ... angiotensin receptor blocker (ARB) drugs and their relationship to COVID-19 on Sina Weibo.: Methods: We searched for posts ...

Abstract	Background: The global COVID-19 pandemic outbreak has caused a significant social and economic burden, with over 4.7 million confirmed cases and thousands of casualties. Moreover, pandemic-related misinformation and disinformation on social media platforms have led to intense psychosocial issues. We investigated online disinformation about angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor blocker (ARB) drugs and their relationship to COVID-19 on Sina Weibo. Methods: We searched for posts related to the pandemic from its beginning in December 2019 to 19 January 2021. We used text mining to identify content related to "antihypertensive agents ACEI/ARB can increase COVID-19". Results: We found 82 posts spreading disinformation and 44 posts dispelling disinformation. The former had 535 clicks and concerns and 31 comments, and was forwarded 98 times. Of the 82 posts spreading disinformation, 15.9% (n = 13) contained pseudo-scientific information, 24.4% (n = 20) contained authoritative releases, and 75.6% (n = 62) contained normal personal releases. Most disinformation posts (n = 61 (74.3%)) were published from 16 February 2020 to 16 March 2020, and 12.2% (n = 10) were published from 1 February 2021 to 16 March 2021. Among the 44 dispelling disinformation posts, approximately 57.1% of the comments were in support, and 42.9% were opposed or invalid. Nearly half of the users were confused or superstitious about the disinformation. Conclusions: The disinformation about ACEI/ARB increasing the opportunity for COVID-19 infection during the pandemic was based on clinical mechanisms and scientific evidence intended for hypertensive patients taking long-term medication. It was packaged in a pseudo-scientific shell, leading to confusion and panic among patients. This disinformation harmed COVID-19 prevention efforts, damaged mental health, and possibly led to harmful behaviours. In future crises, the spread of rumours should be stopped quickly and effectively.
MeSH term(s)	Humans ; Antihypertensive Agents/therapeutic use ; Angiotensin-Converting Enzyme Inhibitors/therapeutic use ; Angiotensin Receptor Antagonists/therapeutic use ; Disinformation ; Pandemics ; COVID-19 ; Antiviral Agents ; Data Mining
Chemical Substances	Antihypertensive Agents ; Angiotensin-Converting Enzyme Inhibitors ; Angiotensin Receptor Antagonists ; Antiviral Agents
Language	English
Publishing date	2023-08-18
Publishing country	Scotland
Document type	Journal Article
ZDB-ID	2741629-X
ISSN	2047-2986 ; 2047-2986
ISSN (online)	2047-2986
ISSN	2047-2986
DOI	10.7189/jogh.13.06028
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: (Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic.

Kreps, Sarah / George, Julie / Watson, Noah / Cai, Gloria / Ding, Keyi

JMIR infodemiology

2022 Volume 2, Issue 1, Page(s) e31793

Abstract: ... Specifically, we investigated COVID-19-related content on Twitter and Sina Weibo-the largest microblogging ... microblogging platform, Twitter, based in the United States, and Sina Weibo, based in China, we compared ... from both Sina Weibo and Twitter, focusing on content from January 30, 2020, within 24 hours of when WHO declared ...

Abstract	Background: Misinformation about COVID-19 on social media has presented challenges to public health authorities during the pandemic. This paper leverages qualitative and quantitative content analysis on cross-platform, cross-national discourse and misinformation in the context of COVID-19. Specifically, we investigated COVID-19-related content on Twitter and Sina Weibo-the largest microblogging sites in the United States and China, respectively. Objective: Using data from 2 prominent microblogging platform, Twitter, based in the United States, and Sina Weibo, based in China, we compared the content and relative prevalence of misinformation to better understand public discourse of public health issues across social media and cultural contexts. Methods: A total of 3,579,575 posts were scraped from both Sina Weibo and Twitter, focusing on content from January 30, 2020, within 24 hours of when WHO declared COVID-19 a "public health emergency of international concern," and a week later, on February 6, 2020. We examined how the use and engagement measured by keyword frequencies and hashtags differ across the 2 platforms. A 1% random sample of tweets that contained both the English keywords "coronavirus" and "covid-19" and the equivalent Chinese characters was extracted and analyzed based on changes in the frequencies of keywords and hashtags and the Viterbi algorithm. We manually coded a random selection of 5%-7% of the content to identify misinformation on each platform and compared posts using the WHO fact-check page to adjudicate accuracy of content. Results: Both platforms posted about the outbreak and transmission, but posts on Sina Weibo were less likely to reference topics such as WHO, Hong Kong, and death and more likely to cite themes of resisting, fighting, and cheering against coronavirus. Misinformation constituted 1.1% of Twitter content and 0.3% of Sina Weibo content-almost 4 times as much on Twitter compared to Sina Weibo. Conclusions: Quantitative and qualitative analysis of content on both platforms points to lower degrees of misinformation, more content designed to bolster morale, and less reference to topics such as WHO, death, and Hong Kong on Sina Weibo than on Twitter.
Language	English
Publishing date	2022-02-24
Publishing country	Canada
Document type	Journal Article
ISSN	2564-1891
ISSN (online)	2564-1891
DOI	10.2196/31793
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic.

Gan, Connie Cai Ru / Feng, Shuo / Feng, Huiyun / Fu, King-Wa / Davies, Sara E / Grépin, Karen A / Morgan, Rosemary / Smith, Julia / Wenham, Clare

BMJ global health

2022 Volume 7, Issue 4

Abstract: ... Using data from Weibo, China's leading social media platform, we examine gendered user patterns and ... sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo ...

Abstract	Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users' experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China's leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.
MeSH term(s)	COVID-19 ; Communicable Disease Control ; Emergencies ; Female ; Humans ; Pandemics ; SARS-CoV-2
Language	English
Publishing date	2022-04-09
Publishing country	England
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ISSN	2059-7908
ISSN	2059-7908
DOI	10.1136/bmjgh-2021-008149
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Portrayals of 2v, 4v and 9vHPV vaccines on Chinese social media: a content analysis of hot posts on Sina Weibo.

Zhou, Fangzhou / Zhang, Wen / Cai, Hongning / Cao, Yuan

Human vaccines & immunotherapeutics

2021 Volume 17, Issue 11, Page(s) 4433–4441

Abstract: ... 9vHPV vaccines. The Octopus Web crawler tool was used to capture hot Weibo posts from 2013-2021, and 1 ... on Weibo about HPV vaccines among 9 years and much of them are created by "lay people." HPV-related topics ...

Abstract	Rather than receive the effective 2vHPV vaccines that are readily available in China, Chinese women usually wait to receive 4v and 9vHPV vaccines, which are difficult to acquire. This means that Chinese women miss the opportunity for optimal protection from cervical cancer. As social media platforms are the main channel by which Chinese women learn about HPV vaccines, this study aimed to explore how HPV vaccines are described on social media, and in particular how they discuss or distinguish 2 v, 4 v and 9vHPV vaccines. The Octopus Web crawler tool was used to capture hot Weibo posts from 2013-2021, and 1,164 valid data were obtained. Results suggested that there are very few posts with great influence on Weibo about HPV vaccines among 9 years and much of them are created by "lay people." HPV-related topics lacked persistent popularity, comprised highly repetitive content and the spread of information was geographically diverse. There were significant differences in the media descriptions of different kinds of HPV vaccines. Price was mentioned more often in the descriptions of 2vHPV vaccines, whereas appointments were referred to most often in the descriptions of 9vHPV vaccines. There was little media attention paid to the safety and effectiveness of HPV vaccines. Chinese media should develop better collaborations with public health professionals, pay more attention to the originality of their news coverage of HPV vaccines and strive to promote HPV vaccination. Such collaboration will help news media to better understand the key points of HPV information that need to be disseminated.
MeSH term(s)	China ; Female ; Humans ; Papillomavirus Infections/prevention & control ; Papillomavirus Vaccines ; Social Media ; Uterine Cervical Neoplasms/prevention & control
Chemical Substances	Papillomavirus Vaccines
Language	English
Publishing date	2021-09-20
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2664176-8
ISSN	2164-554X ; 2164-5515
ISSN (online)	2164-554X
ISSN	2164-5515
DOI	10.1080/21645515.2021.1971016
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Disinformation of text mining online about tobacco and the COVID-19 discussed on Sina Weibo.

Zhang, Di / Fang, Bing / Yang, Ling / Cai, Yuyang

Tobacco induced diseases

2021 Volume 19, Page(s) 83

Abstract: ... from the media. This study focuses on the online disinformation about tobacco and the COVID-19 on the Sina Weibo ...

Abstract	Introduction: During the COVID-19 pandemic, various types of disinformation have emerged from the media. This study focuses on the online disinformation about tobacco and the COVID-19 on the Sina Weibo, the Chinese largest new media microblog platform. Methods: The related posts from the beginning of the epidemic in December 2019 to 19 January 2021 were searched. Text mining technology was applied on these posts to identify content on 'smoking can prevent COVID-19'. Descriptive research was used to analyze the dataset. Results: Among the 912 original posts, 508 informative posts were selected after artificial recognition, including 112 posts of spreading disinformation and 396 which dispel the disinformation. Of the disinformation posts, 74% (83/112) cited the results of scientific research, and 17% (19/112) mentioned that smog from burning Asian wormwood could prevent COVID-19. By analyzing the public's comments on these 112 disinformation posts, it was suggested that about 12% of the comments were in support, and 88% of the posts were opposed or invalid. The proportion of supportive comments on pseudo-scientific information was higher than on plain disinformation, 21% and 9%, respectively. Conclusions: The disinformation of promoting smoking as a way to prevent COVID-19 has the typical feature of using pseudo-scientific arguments to package disinformation, making it very difficult for readers without professional knowledge to identify. Such actions harm both tobacco control and COVID-19 prevention.
Language	English
Publishing date	2021-10-22
Publishing country	Greece
Document type	Journal Article
ZDB-ID	2194616-4
ISSN	1617-9625 ; 2070-7266
ISSN (online)	1617-9625
ISSN	2070-7266
DOI	10.18332/tid/142776
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China.

Chiang, Yi-Chen / Chu, Meijie / Lin, Shengnan / Cai, Xinlan / Chen, Qing / Wang, Hongshuai / Li, An / Rui, Jia / Zhang, Xiaoke / Xie, Fang / Lee, Chun-Yang / Chen, Tianmu

Frontiers in psychology

2021 Volume 12, Page(s) 744691

Abstract: ... status and online public reactions to the COVID-19 pandemic by examining online content from Weibo ... in China. This study consisted of three steps: first, Weibo posts created during the pandemic were ...

Abstract	When a major, sudden infectious disease occurs, people tend to react emotionally and display reactions such as tension, anxiety, fear, depression, and somatization symptoms. Social media played a substantial awareness role in developing countries during the outbreak of coronavirus disease 2019 (COVID-19). This study aimed to analyze public opinion regarding COVID-19 and to explore the trajectory of psychological status and online public reactions to the COVID-19 pandemic by examining online content from Weibo in China. This study consisted of three steps: first, Weibo posts created during the pandemic were collected and preprocessed on a large scale; second, public sentiment orientation was classified as "optimistic/pessimistic/neutral" orientation
Language	English
Publishing date	2021-09-29
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2021.744691
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis.

Xu, Qing / Shen, Ziyi / Shah, Neal / Cuomo, Raphael / Cai, Mingxiang / Brown, Matthew / Li, Jiawei / Mackey, Tim

JMIR public health and surveillance

2020 Volume 6, Issue 4, Page(s) e24125

Abstract: ... of the outbreak by analyzing data from the Sina Weibo platform in Chinese.: Methods: We used web scraping ... to collect public Weibo posts from December 31, 2019, to January 20, 2020, from users located in Wuhan City ... We identified 10,159 COVID-19 posts from 8703 unique Weibo users. Among our three parent classification areas ...

Abstract	Background: The COVID-19 pandemic has reached 40 million confirmed cases worldwide. Given its rapid progression, it is important to examine its origins to better understand how people's knowledge, attitudes, and reactions have evolved over time. One method is to use data mining of social media conversations related to information exposure and self-reported user experiences. Objective: This study aims to characterize the knowledge, attitudes, and behaviors of social media users located at the initial epicenter of the outbreak by analyzing data from the Sina Weibo platform in Chinese. Methods: We used web scraping to collect public Weibo posts from December 31, 2019, to January 20, 2020, from users located in Wuhan City that contained COVID-19-related keywords. We then manually annotated all posts using an inductive content coding approach to identify specific information sources and key themes including news and knowledge about the outbreak, public sentiment, and public reaction to control and response measures. Results: We identified 10,159 COVID-19 posts from 8703 unique Weibo users. Among our three parent classification areas, 67.22% (n=6829) included news and knowledge posts, 69.72% (n=7083) included public sentiment, and 47.87% (n=4863) included public reaction and self-reported behavior. Many of these themes were expressed concurrently in the same Weibo post. Subtopics for news and knowledge posts followed four distinct timelines and evidenced an escalation of the outbreak's seriousness as more information became available. Public sentiment primarily focused on expressions of anxiety, though some expressions of anger and even positive sentiment were also detected. Public reaction included both protective and elevated health risk behavior. Conclusions: Between the announcement of pneumonia and respiratory illness of unknown origin in late December 2019 and the discovery of human-to-human transmission on January 20, 2020, we observed a high volume of public anxiety and confusion about COVID-19, including different reactions to the news by users, negative sentiment after being exposed to information, and public reaction that translated to self-reported behavior. These findings provide early insight into changing knowledge, attitudes, and behaviors about COVID-19, and have the potential to inform future outbreak communication, response, and policy making in China and beyond.
MeSH term(s)	COVID-19/epidemiology ; COVID-19/psychology ; China/epidemiology ; Data Mining ; Health Knowledge, Attitudes, Practice ; Humans ; Qualitative Research ; SARS-CoV-2 ; Social Media/trends
Keywords	covid19
Language	English
Publishing date	2020-12-07
Publishing country	Canada
Document type	Journal Article
ISSN	2369-2960
ISSN (online)	2369-2960
DOI	10.2196/24125
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Characterizing Weibo Social Media Posts from Wuhan, China During the Early Stages of the COVID-19 Pandemic: A Qualitative Content Analysis

Xu, Qing / Shen, Ziyi / Shah, Neal / Cuomo, Raphael / Cai, Mingxiang / Brown, Matthew / Li, Jiawei / Mackey, Tim

Abstract: ... media users located at the initial epicenter of the outbreak by analyzing data from the Sina Weibo ... platform in Chinese. METHODS: We used web scraping to collect public Weibo posts from Dec 31, 2019-Jan 20 ... to control and response measures. RESULTS: We identified 10,159 COVID-19 posts from 8,703 unique Weibo users ...

Abstract	BACKGROUND: The global impact of the COVID-19 pandemic is staggering as it now has eclipsed 40 million confirmed cases globally. Given its rapid progression, it is important to examine its origins to better understand how people's knowledge, attitudes and reactions have evolved over time. One method is to use data mining of social media conversations related to information exposure and self-reported user experiences. OBJECTIVE: This study sought to characterize the knowledge, attitudes and behaviors of social media users located at the initial epicenter of the outbreak by analyzing data from the Sina Weibo platform in Chinese. METHODS: We used web scraping to collect public Weibo posts from Dec 31, 2019-Jan 20, 2020 from users located in Wuhan City that contained COVID-19-related keywords. We then manually annotated all posts using an inductive content coding approach to identify specific information sources and key themes including news and knowledge about the outbreak, public sentiment, and public reaction to control and response measures. RESULTS: We identified 10,159 COVID-19 posts from 8,703 unique Weibo users. Among our three parent classification areas, 67.22% included news and knowledge posts, 69.72% included public sentiment, and 47.87% included public reaction and self-reported behavior. Many of these themes were expressed concurrently in the same Weibo post. Sub-topics for news and knowledge posts followed four distinct timelines and evidenced an escalation of the seriousness of the outbreak as more information became available. Public sentiment primarily focused on expressions of anxiety, though some expressions of anger and even positive sentiment were also detected. Public reaction included both protective and elevated health risk behavior. CONCLUSIONS: Between the announcement of pneumonia and respiratory illness of unknown origin in late December 2019, to the discovery of human-human transmission on January 20th, 2020, we observed a high volume of public anxiety and confusion about COVID-19, including different reaction to news by users, negative sentiment after being exposed to information, and public reaction that translated to self-reported behavior. These findings provide early insight into changing knowledge, attitudes and behaviors about COVID-19 and have the potential to inform future outbreak communication, response, and policymaking in China and beyond.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #918968
Database	COVID19

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Article ; Online: Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic

Xu, Qing / Shen, Ziyi / Shah, Neal / Cuomo, Raphael / Cai, Mingxiang / Brown, Matthew / Li, Jiawei / Mackey, Tim

JMIR Public Health and Surveillance, Vol 6, Iss 4, p e

Qualitative Content Analysis

2020 Volume 24125

Abstract: ... of the outbreak by analyzing data from the Sina Weibo platform in Chinese. MethodsWe used web scraping to collect ... public Weibo posts from December 31, 2019, to January 20, 2020, from users located in Wuhan City ... 159 COVID-19 posts from 8703 unique Weibo users. Among our three parent classification areas, 67.22 ...

Abstract	BackgroundThe COVID-19 pandemic has reached 40 million confirmed cases worldwide. Given its rapid progression, it is important to examine its origins to better understand how people’s knowledge, attitudes, and reactions have evolved over time. One method is to use data mining of social media conversations related to information exposure and self-reported user experiences. ObjectiveThis study aims to characterize the knowledge, attitudes, and behaviors of social media users located at the initial epicenter of the outbreak by analyzing data from the Sina Weibo platform in Chinese. MethodsWe used web scraping to collect public Weibo posts from December 31, 2019, to January 20, 2020, from users located in Wuhan City that contained COVID-19–related keywords. We then manually annotated all posts using an inductive content coding approach to identify specific information sources and key themes including news and knowledge about the outbreak, public sentiment, and public reaction to control and response measures. ResultsWe identified 10,159 COVID-19 posts from 8703 unique Weibo users. Among our three parent classification areas, 67.22% (n=6829) included news and knowledge posts, 69.72% (n=7083) included public sentiment, and 47.87% (n=4863) included public reaction and self-reported behavior. Many of these themes were expressed concurrently in the same Weibo post. Subtopics for news and knowledge posts followed four distinct timelines and evidenced an escalation of the outbreak’s seriousness as more information became available. Public sentiment primarily focused on expressions of anxiety, though some expressions of anger and even positive sentiment were also detected. Public reaction included both protective and elevated health risk behavior. ConclusionsBetween the announcement of pneumonia and respiratory illness of unknown origin in late December 2019 and the discovery of human-to-human transmission on January 20, 2020, we observed a high volume of public anxiety and confusion about COVID-19, including different ...
Keywords	Public aspects of medicine ; RA1-1270
Subject code	306
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	JMIR Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Collection: Engineering in translational medicine

Cai, Weibo

(Engineering)

2014

Author's details	Weibo Cai ed
Series title	Engineering
Language	English
Dates of publication	2014-9999
Publisher	Springer
Publishing place	London u.a.
Publishing country	Great Britain
Document type	Book ; Collection (display volumes)
HBZ-ID	HT018142960
Database	Catalogue ZB MED Medicine, Health

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