Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements

Not only did COVID-19 give rise to a global pandemic, but also it resulted in an infodemic comprising misinformation, rumor, and propaganda. The consequences of this infodemic can erode public trust, impede the containment of the virus, and outlive the pandemic itself. The evolving and fragmented me...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on big data 2021-03, Vol.7 (1), p.69-80
Hauptverfasser: Leng, Yan, Zhai, Yujia, Sun, Shaojing, Wu, Yifei, Selzer, Jordan, Strover, Sharon, Zhang, Hezhao, Chen, Anfan, Ding, Ying
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 80
container_issue 1
container_start_page 69
container_title IEEE transactions on big data
container_volume 7
creator Leng, Yan
Zhai, Yujia
Sun, Shaojing
Wu, Yifei
Selzer, Jordan
Strover, Sharon
Zhang, Hezhao
Chen, Anfan
Ding, Ying
description Not only did COVID-19 give rise to a global pandemic, but also it resulted in an infodemic comprising misinformation, rumor, and propaganda. The consequences of this infodemic can erode public trust, impede the containment of the virus, and outlive the pandemic itself. The evolving and fragmented media landscape, particularly the extensive use of social media, is a crucial driver of the spread of misinformation. Focusing on the Chinese social media Weibo, we collected four million tweets, from December 9, 2019, to April 4, 2020, examining misinformation identified by the fact-checking platform Tencent-a leading Chinese tech giant. Our results show that the evolution of misinformation follows an issue-attention cycle pertaining to topics such as city lockdown, cures and preventive measures, school reopening, and foreign countries. Sensational and emotionally reassuring misinformation characterizes the whole issue-attention cycle, with misinformation on cures and prevention flooding social media. We also study the evolution of sentiment and observe that positive sentiment dominated over the course of Covid, which may be due to the unique characteristic of "positive energy" on Chinese social media. Lastly, we study the media landscape during Covid via a case study on a controversial unproven cure known as Shuanghuanglian, which testifies to the importance of scientific communication in a plague. Our findings shed light on the distinct characteristics of misinformation and its cultural, social, and political implications, during the COVID-19 pandemic. The study also offers insights into combating misinformation in China and across the world at large.
doi_str_mv 10.1109/TBDATA.2021.3055758
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TBDATA_2021_3055758</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9340553</ieee_id><sourcerecordid>2891754772</sourcerecordid><originalsourceid>FETCH-LOGICAL-c480t-4bf33349be138ff059ddd91819c516f594f53783ded2565a54c228831f4865eb3</originalsourceid><addsrcrecordid>eNpdUUtr3DAQNiWFhiS_IBdBLz3UGz0tKYfCxpu2gYQtdNurkG1pV4ktJZJc6L-Pll0C7Wlm-B4zw1dVlwguEILyanOzWm6WCwwxWhDIGGfiXXWKCcc1hrI52fcE15xL-KG6SOkRQogaCInEp1X34JLzNsRJZxc8WM3R-S3IOwPa9e-7VY0kWM-5i0Y_AedBu3NeX4N2HvMc9fgZ_Ay90yPQfgA_wuiy68t067P229FMxud0Xr23ekzm4ljPql9fbzft9_p-_e2uXd7XPRUw17SzhBAqO4OIsBYyOQyDRALJnqHGMkktI1yQwQyYNUwz2mMsBEGWioaZjpxVXw6-z3M3maEvu8uF6jm6Sce_Kmin_kW826lt-KMEbyQksBh8OhrE8DKblNXkUm_GUXsT5qSwkIgzyjku1I__UR_DHH15T2EqRcMxZ6ywyIHVx5BSNPbtGATVPjt1yE7ts1PH7Irq8qByxpg3hSS04IS8AnfslM0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2498672755</pqid></control><display><type>article</type><title>Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements</title><source>IEEE Electronic Library (IEL)</source><creator>Leng, Yan ; Zhai, Yujia ; Sun, Shaojing ; Wu, Yifei ; Selzer, Jordan ; Strover, Sharon ; Zhang, Hezhao ; Chen, Anfan ; Ding, Ying</creator><creatorcontrib>Leng, Yan ; Zhai, Yujia ; Sun, Shaojing ; Wu, Yifei ; Selzer, Jordan ; Strover, Sharon ; Zhang, Hezhao ; Chen, Anfan ; Ding, Ying</creatorcontrib><description>Not only did COVID-19 give rise to a global pandemic, but also it resulted in an infodemic comprising misinformation, rumor, and propaganda. The consequences of this infodemic can erode public trust, impede the containment of the virus, and outlive the pandemic itself. The evolving and fragmented media landscape, particularly the extensive use of social media, is a crucial driver of the spread of misinformation. Focusing on the Chinese social media Weibo, we collected four million tweets, from December 9, 2019, to April 4, 2020, examining misinformation identified by the fact-checking platform Tencent-a leading Chinese tech giant. Our results show that the evolution of misinformation follows an issue-attention cycle pertaining to topics such as city lockdown, cures and preventive measures, school reopening, and foreign countries. Sensational and emotionally reassuring misinformation characterizes the whole issue-attention cycle, with misinformation on cures and prevention flooding social media. We also study the evolution of sentiment and observe that positive sentiment dominated over the course of Covid, which may be due to the unique characteristic of "positive energy" on Chinese social media. Lastly, we study the media landscape during Covid via a case study on a controversial unproven cure known as Shuanghuanglian, which testifies to the importance of scientific communication in a plague. Our findings shed light on the distinct characteristics of misinformation and its cultural, social, and political implications, during the COVID-19 pandemic. The study also offers insights into combating misinformation in China and across the world at large.</description><identifier>ISSN: 2332-7790</identifier><identifier>EISSN: 2372-2096</identifier><identifier>DOI: 10.1109/TBDATA.2021.3055758</identifier><identifier>CODEN: ITBDAX</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Big Data ; Blogs ; Containment ; Coronaviruses ; COVID-19 ; Cures ; Digital media ; Evolution ; False information ; Flooding ; Media ; Misinformation ; Pandemics ; scientific communication ; social media ; Social networking (online) ; Social networks ; Urban areas ; Viral diseases</subject><ispartof>IEEE transactions on big data, 2021-03, Vol.7 (1), p.69-80</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><rights>IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and analysis. 2021 IEEE</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-4bf33349be138ff059ddd91819c516f594f53783ded2565a54c228831f4865eb3</citedby><cites>FETCH-LOGICAL-c480t-4bf33349be138ff059ddd91819c516f594f53783ded2565a54c228831f4865eb3</cites><orcidid>0000-0003-2189-5336 ; 0000-0002-7084-2700 ; 0000-0002-0051-6600 ; 0000-0002-7406-0415 ; 0000-0002-3231-4077</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9340553$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9340553$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Leng, Yan</creatorcontrib><creatorcontrib>Zhai, Yujia</creatorcontrib><creatorcontrib>Sun, Shaojing</creatorcontrib><creatorcontrib>Wu, Yifei</creatorcontrib><creatorcontrib>Selzer, Jordan</creatorcontrib><creatorcontrib>Strover, Sharon</creatorcontrib><creatorcontrib>Zhang, Hezhao</creatorcontrib><creatorcontrib>Chen, Anfan</creatorcontrib><creatorcontrib>Ding, Ying</creatorcontrib><title>Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements</title><title>IEEE transactions on big data</title><addtitle>TBData</addtitle><description>Not only did COVID-19 give rise to a global pandemic, but also it resulted in an infodemic comprising misinformation, rumor, and propaganda. The consequences of this infodemic can erode public trust, impede the containment of the virus, and outlive the pandemic itself. The evolving and fragmented media landscape, particularly the extensive use of social media, is a crucial driver of the spread of misinformation. Focusing on the Chinese social media Weibo, we collected four million tweets, from December 9, 2019, to April 4, 2020, examining misinformation identified by the fact-checking platform Tencent-a leading Chinese tech giant. Our results show that the evolution of misinformation follows an issue-attention cycle pertaining to topics such as city lockdown, cures and preventive measures, school reopening, and foreign countries. Sensational and emotionally reassuring misinformation characterizes the whole issue-attention cycle, with misinformation on cures and prevention flooding social media. We also study the evolution of sentiment and observe that positive sentiment dominated over the course of Covid, which may be due to the unique characteristic of "positive energy" on Chinese social media. Lastly, we study the media landscape during Covid via a case study on a controversial unproven cure known as Shuanghuanglian, which testifies to the importance of scientific communication in a plague. Our findings shed light on the distinct characteristics of misinformation and its cultural, social, and political implications, during the COVID-19 pandemic. The study also offers insights into combating misinformation in China and across the world at large.</description><subject>Big Data</subject><subject>Blogs</subject><subject>Containment</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cures</subject><subject>Digital media</subject><subject>Evolution</subject><subject>False information</subject><subject>Flooding</subject><subject>Media</subject><subject>Misinformation</subject><subject>Pandemics</subject><subject>scientific communication</subject><subject>social media</subject><subject>Social networking (online)</subject><subject>Social networks</subject><subject>Urban areas</subject><subject>Viral diseases</subject><issn>2332-7790</issn><issn>2372-2096</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdUUtr3DAQNiWFhiS_IBdBLz3UGz0tKYfCxpu2gYQtdNurkG1pV4ktJZJc6L-Pll0C7Wlm-B4zw1dVlwguEILyanOzWm6WCwwxWhDIGGfiXXWKCcc1hrI52fcE15xL-KG6SOkRQogaCInEp1X34JLzNsRJZxc8WM3R-S3IOwPa9e-7VY0kWM-5i0Y_AedBu3NeX4N2HvMc9fgZ_Ay90yPQfgA_wuiy68t067P229FMxud0Xr23ekzm4ljPql9fbzft9_p-_e2uXd7XPRUw17SzhBAqO4OIsBYyOQyDRALJnqHGMkktI1yQwQyYNUwz2mMsBEGWioaZjpxVXw6-z3M3maEvu8uF6jm6Sce_Kmin_kW826lt-KMEbyQksBh8OhrE8DKblNXkUm_GUXsT5qSwkIgzyjku1I__UR_DHH15T2EqRcMxZ6ywyIHVx5BSNPbtGATVPjt1yE7ts1PH7Irq8qByxpg3hSS04IS8AnfslM0</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Leng, Yan</creator><creator>Zhai, Yujia</creator><creator>Sun, Shaojing</creator><creator>Wu, Yifei</creator><creator>Selzer, Jordan</creator><creator>Strover, Sharon</creator><creator>Zhang, Hezhao</creator><creator>Chen, Anfan</creator><creator>Ding, Ying</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2189-5336</orcidid><orcidid>https://orcid.org/0000-0002-7084-2700</orcidid><orcidid>https://orcid.org/0000-0002-0051-6600</orcidid><orcidid>https://orcid.org/0000-0002-7406-0415</orcidid><orcidid>https://orcid.org/0000-0002-3231-4077</orcidid></search><sort><creationdate>20210301</creationdate><title>Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements</title><author>Leng, Yan ; Zhai, Yujia ; Sun, Shaojing ; Wu, Yifei ; Selzer, Jordan ; Strover, Sharon ; Zhang, Hezhao ; Chen, Anfan ; Ding, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c480t-4bf33349be138ff059ddd91819c516f594f53783ded2565a54c228831f4865eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Big Data</topic><topic>Blogs</topic><topic>Containment</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Cures</topic><topic>Digital media</topic><topic>Evolution</topic><topic>False information</topic><topic>Flooding</topic><topic>Media</topic><topic>Misinformation</topic><topic>Pandemics</topic><topic>scientific communication</topic><topic>social media</topic><topic>Social networking (online)</topic><topic>Social networks</topic><topic>Urban areas</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leng, Yan</creatorcontrib><creatorcontrib>Zhai, Yujia</creatorcontrib><creatorcontrib>Sun, Shaojing</creatorcontrib><creatorcontrib>Wu, Yifei</creatorcontrib><creatorcontrib>Selzer, Jordan</creatorcontrib><creatorcontrib>Strover, Sharon</creatorcontrib><creatorcontrib>Zhang, Hezhao</creatorcontrib><creatorcontrib>Chen, Anfan</creatorcontrib><creatorcontrib>Ding, Ying</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>IEEE transactions on big data</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Leng, Yan</au><au>Zhai, Yujia</au><au>Sun, Shaojing</au><au>Wu, Yifei</au><au>Selzer, Jordan</au><au>Strover, Sharon</au><au>Zhang, Hezhao</au><au>Chen, Anfan</au><au>Ding, Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements</atitle><jtitle>IEEE transactions on big data</jtitle><stitle>TBData</stitle><date>2021-03-01</date><risdate>2021</risdate><volume>7</volume><issue>1</issue><spage>69</spage><epage>80</epage><pages>69-80</pages><issn>2332-7790</issn><eissn>2372-2096</eissn><coden>ITBDAX</coden><abstract>Not only did COVID-19 give rise to a global pandemic, but also it resulted in an infodemic comprising misinformation, rumor, and propaganda. The consequences of this infodemic can erode public trust, impede the containment of the virus, and outlive the pandemic itself. The evolving and fragmented media landscape, particularly the extensive use of social media, is a crucial driver of the spread of misinformation. Focusing on the Chinese social media Weibo, we collected four million tweets, from December 9, 2019, to April 4, 2020, examining misinformation identified by the fact-checking platform Tencent-a leading Chinese tech giant. Our results show that the evolution of misinformation follows an issue-attention cycle pertaining to topics such as city lockdown, cures and preventive measures, school reopening, and foreign countries. Sensational and emotionally reassuring misinformation characterizes the whole issue-attention cycle, with misinformation on cures and prevention flooding social media. We also study the evolution of sentiment and observe that positive sentiment dominated over the course of Covid, which may be due to the unique characteristic of "positive energy" on Chinese social media. Lastly, we study the media landscape during Covid via a case study on a controversial unproven cure known as Shuanghuanglian, which testifies to the importance of scientific communication in a plague. Our findings shed light on the distinct characteristics of misinformation and its cultural, social, and political implications, during the COVID-19 pandemic. The study also offers insights into combating misinformation in China and across the world at large.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TBDATA.2021.3055758</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2189-5336</orcidid><orcidid>https://orcid.org/0000-0002-7084-2700</orcidid><orcidid>https://orcid.org/0000-0002-0051-6600</orcidid><orcidid>https://orcid.org/0000-0002-7406-0415</orcidid><orcidid>https://orcid.org/0000-0002-3231-4077</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2332-7790
ispartof IEEE transactions on big data, 2021-03, Vol.7 (1), p.69-80
issn 2332-7790
2372-2096
language eng
recordid cdi_crossref_primary_10_1109_TBDATA_2021_3055758
source IEEE Electronic Library (IEL)
subjects Big Data
Blogs
Containment
Coronaviruses
COVID-19
Cures
Digital media
Evolution
False information
Flooding
Media
Misinformation
Pandemics
scientific communication
social media
Social networking (online)
Social networks
Urban areas
Viral diseases
title Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T21%3A37%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Misinformation%20During%20the%20COVID-19%20Outbreak%20in%20China:%20Cultural,%20Social%20and%20Political%20Entanglements&rft.jtitle=IEEE%20transactions%20on%20big%20data&rft.au=Leng,%20Yan&rft.date=2021-03-01&rft.volume=7&rft.issue=1&rft.spage=69&rft.epage=80&rft.pages=69-80&rft.issn=2332-7790&rft.eissn=2372-2096&rft.coden=ITBDAX&rft_id=info:doi/10.1109/TBDATA.2021.3055758&rft_dat=%3Cproquest_RIE%3E2891754772%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2498672755&rft_id=info:pmid/&rft_ieee_id=9340553&rfr_iscdi=true