COVID-19 vaccine hesitancy: Meaning relations between responses in an epidemiological study and twitter messages
Vaccine hesitancy is a concerning public health issue, further amplified during the COVID-19 pandemic. Social media is an important player in this context, promoting the dissemination of both information and misinformation. Qualitative studies analyzing the meaning of social media contents in correl...
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Veröffentlicht in: | Vaccine 2024-10, Vol.42 (24), p.126247, Article 126247 |
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creator | Ferreira-Silva, Sofia Natalia Soares, Maria Eduarda Muniz Vasconcelos, Ricardo Barbieri, Carolina Junior, Luiz Fujita Medeiros, Tainah de Souza Amorim Matos, Camila Carvalho Couto, Marcia Thereza Avelino-Silva, Vivian I. |
description | Vaccine hesitancy is a concerning public health issue, further amplified during the COVID-19 pandemic. Social media is an important player in this context, promoting the dissemination of both information and misinformation. Qualitative studies analyzing the meaning of social media contents in correlation with epidemiological data are scarce, and could aid our understanding of social media's impact on vaccine hesitancy.
In this study, we identified open-ended responses on reasons to refuse the COVID-19 vaccine collected in an epidemiologic study, and analyzed meaning relations with Twitter posts according to theme categories using a qualitative approach.
Among responses to open-ended questions on motivations for refusing the COVID-19 vaccine, we identified and analyzed five theme categories: 1. individuality; 2. fear of adverse events/distrust in vaccine safety; 3. political ideologies/aversion to recommendations issued by the State; 4. skepticism about vaccine efficacy; and 5. refusal of non-natural products or interventions. We observed a close correspondence between open-ended responses in the epidemiological study and Twitter posts in all 5 theme categories. The highest outreach of Twitter posts was observed for those in the “individuality” and “fear of adverse the events/distrust in vaccine safety” theme categories.
Our study suggests that social media interactions can perpetuate misinformation and hesitant attitudes about vaccines. Social media algorithms can intensify ideologic isolation, and strategies to promote the dissemination of tailored health information among social media users should be implemented to promote an overall understanding of health, particularly those concerning the collective wellbeing. |
doi_str_mv | 10.1016/j.vaccine.2024.126247 |
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In this study, we identified open-ended responses on reasons to refuse the COVID-19 vaccine collected in an epidemiologic study, and analyzed meaning relations with Twitter posts according to theme categories using a qualitative approach.
Among responses to open-ended questions on motivations for refusing the COVID-19 vaccine, we identified and analyzed five theme categories: 1. individuality; 2. fear of adverse events/distrust in vaccine safety; 3. political ideologies/aversion to recommendations issued by the State; 4. skepticism about vaccine efficacy; and 5. refusal of non-natural products or interventions. We observed a close correspondence between open-ended responses in the epidemiological study and Twitter posts in all 5 theme categories. The highest outreach of Twitter posts was observed for those in the “individuality” and “fear of adverse the events/distrust in vaccine safety” theme categories.
Our study suggests that social media interactions can perpetuate misinformation and hesitant attitudes about vaccines. Social media algorithms can intensify ideologic isolation, and strategies to promote the dissemination of tailored health information among social media users should be implemented to promote an overall understanding of health, particularly those concerning the collective wellbeing.</description><identifier>ISSN: 0264-410X</identifier><identifier>ISSN: 1873-2518</identifier><identifier>EISSN: 1873-2518</identifier><identifier>DOI: 10.1016/j.vaccine.2024.126247</identifier><identifier>PMID: 39197220</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Algorithms ; Aversion ; Categories ; Correspondence ; COVID-19 ; COVID-19 infection ; COVID-19 pandemic ; COVID-19 vaccines ; Digital media ; epidemiological studies ; Epidemiology ; False information ; Fear ; fearfulness ; Gender ; Health communication ; health information ; Immunity (Disease) ; Impact analysis ; Isolation media ; misinformation ; Mixed methods research ; Natural products ; outreach ; Pandemics ; Pharmaceutical industry ; politics ; Public health ; Qualitative analysis ; Qualitative research ; Skepticism ; Social media ; Social networks ; Systematic review ; Vaccination hesitancy ; Vaccine efficacy ; Vaccines</subject><ispartof>Vaccine, 2024-10, Vol.42 (24), p.126247, Article 126247</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024 Elsevier Ltd. All rights reserved.</rights><rights>2024. Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c304t-2e137b965f5a6a6b96119614ebd84a31bfa86d97409dbf378ba2395ea464b6293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0264410X24009290$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39197220$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ferreira-Silva, Sofia Natalia</creatorcontrib><creatorcontrib>Soares, Maria Eduarda Muniz</creatorcontrib><creatorcontrib>Vasconcelos, Ricardo</creatorcontrib><creatorcontrib>Barbieri, Carolina</creatorcontrib><creatorcontrib>Junior, Luiz Fujita</creatorcontrib><creatorcontrib>Medeiros, Tainah</creatorcontrib><creatorcontrib>de Souza Amorim Matos, Camila Carvalho</creatorcontrib><creatorcontrib>Couto, Marcia Thereza</creatorcontrib><creatorcontrib>Avelino-Silva, Vivian I.</creatorcontrib><title>COVID-19 vaccine hesitancy: Meaning relations between responses in an epidemiological study and twitter messages</title><title>Vaccine</title><addtitle>Vaccine</addtitle><description>Vaccine hesitancy is a concerning public health issue, further amplified during the COVID-19 pandemic. Social media is an important player in this context, promoting the dissemination of both information and misinformation. Qualitative studies analyzing the meaning of social media contents in correlation with epidemiological data are scarce, and could aid our understanding of social media's impact on vaccine hesitancy.
In this study, we identified open-ended responses on reasons to refuse the COVID-19 vaccine collected in an epidemiologic study, and analyzed meaning relations with Twitter posts according to theme categories using a qualitative approach.
Among responses to open-ended questions on motivations for refusing the COVID-19 vaccine, we identified and analyzed five theme categories: 1. individuality; 2. fear of adverse events/distrust in vaccine safety; 3. political ideologies/aversion to recommendations issued by the State; 4. skepticism about vaccine efficacy; and 5. refusal of non-natural products or interventions. We observed a close correspondence between open-ended responses in the epidemiological study and Twitter posts in all 5 theme categories. The highest outreach of Twitter posts was observed for those in the “individuality” and “fear of adverse the events/distrust in vaccine safety” theme categories.
Our study suggests that social media interactions can perpetuate misinformation and hesitant attitudes about vaccines. Social media algorithms can intensify ideologic isolation, and strategies to promote the dissemination of tailored health information among social media users should be implemented to promote an overall understanding of health, particularly those concerning the collective wellbeing.</description><subject>Algorithms</subject><subject>Aversion</subject><subject>Categories</subject><subject>Correspondence</subject><subject>COVID-19</subject><subject>COVID-19 infection</subject><subject>COVID-19 pandemic</subject><subject>COVID-19 vaccines</subject><subject>Digital media</subject><subject>epidemiological studies</subject><subject>Epidemiology</subject><subject>False information</subject><subject>Fear</subject><subject>fearfulness</subject><subject>Gender</subject><subject>Health communication</subject><subject>health information</subject><subject>Immunity (Disease)</subject><subject>Impact analysis</subject><subject>Isolation media</subject><subject>misinformation</subject><subject>Mixed methods research</subject><subject>Natural products</subject><subject>outreach</subject><subject>Pandemics</subject><subject>Pharmaceutical industry</subject><subject>politics</subject><subject>Public health</subject><subject>Qualitative analysis</subject><subject>Qualitative research</subject><subject>Skepticism</subject><subject>Social media</subject><subject>Social networks</subject><subject>Systematic review</subject><subject>Vaccination hesitancy</subject><subject>Vaccine 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I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 vaccine hesitancy: Meaning relations between responses in an epidemiological study and twitter messages</atitle><jtitle>Vaccine</jtitle><addtitle>Vaccine</addtitle><date>2024-10-24</date><risdate>2024</risdate><volume>42</volume><issue>24</issue><spage>126247</spage><pages>126247-</pages><artnum>126247</artnum><issn>0264-410X</issn><issn>1873-2518</issn><eissn>1873-2518</eissn><abstract>Vaccine hesitancy is a concerning public health issue, further amplified during the COVID-19 pandemic. Social media is an important player in this context, promoting the dissemination of both information and misinformation. Qualitative studies analyzing the meaning of social media contents in correlation with epidemiological data are scarce, and could aid our understanding of social media's impact on vaccine hesitancy.
In this study, we identified open-ended responses on reasons to refuse the COVID-19 vaccine collected in an epidemiologic study, and analyzed meaning relations with Twitter posts according to theme categories using a qualitative approach.
Among responses to open-ended questions on motivations for refusing the COVID-19 vaccine, we identified and analyzed five theme categories: 1. individuality; 2. fear of adverse events/distrust in vaccine safety; 3. political ideologies/aversion to recommendations issued by the State; 4. skepticism about vaccine efficacy; and 5. refusal of non-natural products or interventions. We observed a close correspondence between open-ended responses in the epidemiological study and Twitter posts in all 5 theme categories. The highest outreach of Twitter posts was observed for those in the “individuality” and “fear of adverse the events/distrust in vaccine safety” theme categories.
Our study suggests that social media interactions can perpetuate misinformation and hesitant attitudes about vaccines. Social media algorithms can intensify ideologic isolation, and strategies to promote the dissemination of tailored health information among social media users should be implemented to promote an overall understanding of health, particularly those concerning the collective wellbeing.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>39197220</pmid><doi>10.1016/j.vaccine.2024.126247</doi></addata></record> |
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subjects | Algorithms Aversion Categories Correspondence COVID-19 COVID-19 infection COVID-19 pandemic COVID-19 vaccines Digital media epidemiological studies Epidemiology False information Fear fearfulness Gender Health communication health information Immunity (Disease) Impact analysis Isolation media misinformation Mixed methods research Natural products outreach Pandemics Pharmaceutical industry politics Public health Qualitative analysis Qualitative research Skepticism Social media Social networks Systematic review Vaccination hesitancy Vaccine efficacy Vaccines |
title | COVID-19 vaccine hesitancy: Meaning relations between responses in an epidemiological study and twitter messages |
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