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Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country Analysis

Author

Listed:
  • Anna Kłak

    (Department of Environmental Hazards Prevention, Allergology and Immunology, Medical University of Warsaw, st. Banacha 1a, 02-091 Warsaw, Poland)

  • Jolanta Grygielska

    (Gerontology, Public Health and Didactics Department, National Geriatrics, Rheumatology and Rehabilitation Institute, st. Spartańska 1, 02-637 Warsaw, Poland)

  • Małgorzata Mańczak

    (Gerontology, Public Health and Didactics Department, National Geriatrics, Rheumatology and Rehabilitation Institute, st. Spartańska 1, 02-637 Warsaw, Poland)

  • Ewelina Ejchman-Pac

    (Gerontology, Public Health and Didactics Department, National Geriatrics, Rheumatology and Rehabilitation Institute, st. Spartańska 1, 02-637 Warsaw, Poland)

  • Jakub Owoc

    (Gerontology, Public Health and Didactics Department, National Geriatrics, Rheumatology and Rehabilitation Institute, st. Spartańska 1, 02-637 Warsaw, Poland)

  • Urszula Religioni

    (Collegium of Business Administration, Warsaw School of Economics, st. Madalińskiego 6/8, 02-513 Warsaw, Poland
    School of Public Health, Centre of Postgraduate Medical Education of Warsaw, st. Kleczewska 61/63, 01-826 Warsaw, Poland)

  • Robert Olszewski

    (Gerontology, Public Health and Didactics Department, National Geriatrics, Rheumatology and Rehabilitation Institute, st. Spartańska 1, 02-637 Warsaw, Poland
    Department of Ultrasound, Institute of the Fundamental Technological Research of the Polish Academy of Sciences, st. Pawinskiego 5B, 02-106 Warsaw, Poland)

Abstract

Background: The WHO has used the term “infodemic” to describe the vast amount of false and true information that was making it difficult for people to find reliable information when they needed it. The infodemic spreads faster than COVID-19 itself. The main objective of the study was to characterize and analyze content about COVID-19 returned by Google during the pandemic and compare it between countries. Methods: The study was conducted between 30 March and 27 April 2020. The information was searched through local Google websites using the “COVID-19”, “Coronavirus”, “SARS-CoV-2” and “fake news” keywords. The search was conducted in Australia, France, Germany, Italy, Poland, Singapore, Spain, UK and the USA. The total number of the analyzed webpages was 685. Results: The most frequent types were News websites 47% (324/685) and Governmental 19% (131/685) while the least were Health portals 2% (17/685) and Scientific journals 5% (35/635), p < 0.001. United States and Australia had the highest share of Governmental websites. There was a positive correlation between the amount of preventive information and a number of SARS-CoV-2 infections in countries. The higher the number of tests performed, the higher was the amount of information about prevention available online. Conclusions: Online information is usually available on news and government websites and refers to prevention. There were differences between countries in types of information available online. The highest positioned (the first 20) websites for COVID-19, Coronavirus and SARS-CoV-2 keywords returned by Google include true information.

Suggested Citation

  • Anna Kłak & Jolanta Grygielska & Małgorzata Mańczak & Ewelina Ejchman-Pac & Jakub Owoc & Urszula Religioni & Robert Olszewski, 2022. "Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country Analysis," IJERPH, MDPI, vol. 19(3), pages 1-26, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1491-:d:736881
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    References listed on IDEAS

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    1. Brian Hughes & Kesa White & Jennifer West & Meili Criezis & Cindy Zhou & Sarah Bartholomew, 2021. "Cultural Variance in Reception and Interpretation of Social Media COVID-19 Disinformation in French-Speaking Regions," IJERPH, MDPI, vol. 18(23), pages 1-28, November.
    2. Gupta, Ashish & Li, Han & Farnoush, Alireza & Jiang, Wenting, 2022. "Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news," Journal of Business Research, Elsevier, vol. 140(C), pages 670-683.
    3. Orkan Okan & Torsten Michael Bollweg & Eva-Maria Berens & Klaus Hurrelmann & Ullrich Bauer & Doris Schaeffer, 2020. "Coronavirus-Related Health Literacy: A Cross-Sectional Study in Adults during the COVID-19 Infodemic in Germany," IJERPH, MDPI, vol. 17(15), pages 1-20, July.
    4. Vincenzo Carrieri & Leonardo Madio & Francesco Principe, 2019. "Vaccine hesitancy and (fake) news: Quasi‐experimental evidence from Italy," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1377-1382, November.
    5. Andrea Moscadelli & Giuseppe Albora & Massimiliano Alberto Biamonte & Duccio Giorgetti & Michele Innocenzio & Sonia Paoli & Chiara Lorini & Paolo Bonanni & Guglielmo Bonaccorsi, 2020. "Fake News and Covid-19 in Italy: Results of a Quantitative Observational Study," IJERPH, MDPI, vol. 17(16), pages 1-13, August.
    6. Pablo Lara-Navarra & Hervé Falciani & Enrique A. Sánchez-Pérez & Antonia Ferrer-Sapena, 2020. "Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection," IJERPH, MDPI, vol. 17(3), pages 1-12, February.
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    Cited by:

    1. Sou Hyun Jang, 2022. "Disparities in COVID-19 Information Sources and Knowledge in South Korea," IJERPH, MDPI, vol. 19(9), pages 1-10, April.
    2. Anna Kłak & Konrad Furmańczyk & Paulina Maria Nowicka & Małgorzata Mańczak & Agnieszka Barańska & Urszula Religioni & Anna Siekierska & Martyna Ambroziak & Magdalena Chłopek, 2022. "The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study," IJERPH, MDPI, vol. 19(20), pages 1-12, October.

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