COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence

被引:279
|
作者
Islam, Md Saiful [1 ,2 ,10 ]
Kamal, Abu-Hena Mostofa [3 ,4 ]
Kabir, Alamgir [2 ,5 ]
Southern, Dorothy L. [6 ]
Khan, Sazzad Hossain [1 ]
Hasan, S. M. Murshid [7 ]
Sarkar, Tonmoy [1 ]
Sharmin, Shayla
Das, Shiuli [1 ]
Roy, Tuhin [8 ]
Harun, Md Golam Dostogir [1 ]
Chughtai, Abrar Ahmad [1 ]
Homaira, Nusrat [9 ]
Seale, Holly [2 ]
机构
[1] Int Ctr Diarrheal Dis Res, Program Emerging Infect, Div Infect Dis, Dhaka, Bangladesh
[2] Univ New South Wales, Sch Populat Hlth, Sydney, NSW, Australia
[3] Khulna Univ Engn & Technol, Khulna, Bangladesh
[4] Univ Saskatchewan, Dept Sociol, Saskatoon, SK, Canada
[5] Univ New South Wales, Ctr Primary Hlth Care & Equity, Sydney, NSW, Australia
[6] Independent Sci Writing Consultant, Mandalay, Myanmar
[7] Mahidol Univ, Dept Hlth & Soc, Salaya, Nakhon Pathom, Thailand
[8] Khulna Univ, Sociol Discipline, Khulna, Bangladesh
[9] Univ New South Wales, Sch Womens & Childrens Hlth, Sydney, NSW, Australia
[10] Univ New South Wales, Sch Populat Hlth, Fac Med, Kensington, NSW, Australia
来源
PLOS ONE | 2021年 / 16卷 / 05期
关键词
SOCIAL MEDIA; FAKE NEWS; HEALTH; PEOPLE; POLIO; WEB;
D O I
10.1371/journal.pone.0251605
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction Rumors and conspiracy theories, can contribute to vaccine hesitancy. Monitoring online data related to COVID-19 vaccine candidates can track vaccine misinformation in real-time and assist in negating its impact. This study aimed to examine COVID-19 vaccine rumors and conspiracy theories circulating on online platforms, understand their context, and then review interventions to manage this misinformation and increase vaccine acceptance. Method In June 2020, a multi-disciplinary team was formed to review and collect online rumors and conspiracy theories between 31 December 2019-30 November 2020. Sources included Google, Google Fact Check, Facebook, YouTube, Twitter, fact-checking agency websites, and television and newspaper websites. Quantitative data were extracted, entered in an Excel spreadsheet, and analyzed descriptively using the statistical package R version 4.0.3. We conducted a content analysis of the qualitative information from news articles, online reports and blogs and compared with findings from quantitative data. Based on the fact-checking agency ratings, information was categorized as true, false, misleading, or exaggerated. Results We identified 637 COVID-19 vaccine-related items: 91% were rumors and 9% were conspiracy theories from 52 countries. Of the 578 rumors, 36% were related to vaccine development, availability, and access, 20% related to morbidity and mortality, 8% to safety, efficacy, and acceptance, and the rest were other categories. Of the 637 items, 5% (30/) were true, 83% (528/637) were false, 10% (66/637) were misleading, and 2% (13/637) were exaggerated. Conclusions Rumors and conspiracy theories may lead to mistrust contributing to vaccine hesitancy. Tracking COVID-19 vaccine misinformation in real-time and engaging with social media to disseminate correct information could help safeguard the public against misinformation.
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页数:17
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