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10.1371/journal.pone.0251605

http://scihub22266oqcxt.onion/10.1371/journal.pone.0251605
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33979412!8115834!33979412
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suck abstract from ncbi


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pmid33979412      PLoS+One 2021 ; 16 (5): e0251605
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  • COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence #MMPMID33979412
  • Islam MS; Kamal AM; Kabir A; Southern DL; Khan SH; Hasan SMM; Sarkar T; Sharmin S; Das S; Roy T; Harun MGD; Chughtai AA; Homaira N; Seale H
  • PLoS One 2021[]; 16 (5): e0251605 PMID33979412show ga
  • 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.
  • |COVID-19 Vaccines/pharmacology[MESH]
  • |COVID-19/*psychology[MESH]
  • |Communication[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Humans[MESH]
  • |Information Dissemination/ethics/*methods[MESH]
  • |Public Health[MESH]
  • |SARS-CoV-2/pathogenicity[MESH]
  • |Social Media[MESH]
  • |Surveys and Questionnaires[MESH]
  • |Vaccination Refusal/*psychology[MESH]


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