Understanding the “Infodemic” Threat: A Case Study of the COVID-19 Pandemic
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The coronavirus disease 2019 (COVID-19) pandemic is notable among infectious diseases for its distinctive impact, which has halted millions of livelihoods owing to strict social distancing rules and lockdowns. Consequently, millions of individuals have turned to online sources, particularly social media, to remain informed about the virus. The transition to digital sources has resulted in an abundance of information, including both accurate and misleading or false content being shared and consumed on online platforms, contributing to what is commonly referred to as an “infodemic.” Although these platforms have been valuable tools for healthcare professionals and public health authorities in disseminating crucial public health messages, they have also aided in the spread of misleading and false information. The widespread dissemination of false information has been instrumental in propagating harmful beliefs and behaviors such as vaccine hesitancy, promoting discriminatory attitudes, and endorsing false beliefs about the efficacy of certain therapeutic products for treating COVID-19. False information has undoubtedly become a challenge and burden for governments, health professionals, and the general population. This review has three main objectives: (1) to assess the scope of the “infodemic” issue, including investigating the factors contributing to the spread of false information online; (2) to examine the multifaceted consequences resulting from false information; and (3) to argue that an interdisciplinary, multi-layered approach, encompassing a focus on prevention, deterrence, and education, should be adopted to prevent the conception and dissemination of false information in this modern digital age.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is notable among infectious diseases for its distinctive impact, which has halted millions of livelihoods owing to strict social distancing rules and lockdowns. Consequently, millions of individuals have turned to online sources, particularly social media, to remain informed about the virus. The transition to digital sources has resulted in an abundance of information, including both accurate and misleading or false content being shared and consumed on online platforms, contributing to what is commonly referred to as an “infodemic.” Although these platforms have been valuable tools for healthcare professionals and public health authorities in disseminating crucial public health messages, they have also aided in the spread of misleading and false information. The widespread dissemination of false information has been instrumental in propagating harmful beliefs and behaviors such as vaccine hesitancy, promoting discriminatory attitudes, and endorsing false beliefs about the efficacy of certain therapeutic products for treating COVID-19. False information has undoubtedly become a challenge and burden for governments, health professionals, and the general population. This review has three main objectives: (1) to assess the scope of the “infodemic” issue, including investigating the factors contributing to the spread of false information online; (2) to examine the multifaceted consequences resulting from false information; and (3) to argue that an interdisciplinary, multi-layered approach, encompassing a focus on prevention, deterrence, and education, should be adopted to prevent the conception and dissemination of false information in this modern digital age.
참고문헌 (33)
- De’ R, "Impact of digital surge during COVID-19 pandemic : a viewpoint on research and practice", Int J Inf Manage, 55, pp.102171~ (2020)
- Buchanan T, "Why do people spread false information online? : the effects of message and viewer characteristics on self-reported likelihood of sharing social media disinformation", PLoS One, 15, pp.e0239666~ (2020)
- Lee SK, "Misinformation of COVID-19 vaccines and vaccine hesitancy", Sci Rep, 12, pp.13681~ (2022)
- "COVID-19 as a digital pandemic" (2020)[URL]
- Gao J, "How does digital media search for COVID-19 influence vaccine hesitancy? : exploring the trade-off between Google Trends, infodemics, conspiracy beliefs and religious fatalism", Vaccines(Basel), 11, pp.114~ (2023)
- Zhao Y, "Chinese public’s attention to the COVID-19 epidemic on social media : observational descriptive study", J Med Internet Res, 22, pp.e18825~ (2020)
- "Managing the COVID-19 infodemic: promoting healthy behaviours and mitigating the harm from misinformation and disinformation" (2020)[URL]
- Gabarron E, "COVID-19-related misinformation on social media : a systematic review", Bull World Health Organ, 99, pp.455~463 (2021)
- "The long history of disinformation during war" (2022)[URL]
- Gandhi CK, "Trend of influenza vaccine Facebook posts in last 4 years : a content analysis", Am J Infect Control, 48, pp.361~367 (2020)
- Klofstad CA, "What drives people to believe in Zika conspiracy theories?", Palgrave Commun, 5, pp.36~ (2019)
- Nelson T, "The danger of misinformation in the COVID-19 crisis", Mo Med, 117, pp.510~512 (2020)
- Wang Y, "Systematic literature review on the spread of health-related misinformation on social media", Soc Sci Med, 240, pp.112552~ (2019)
- Lewandowsky S, "Misinformation and its correction : continued influence and successful debiasing", Psychol Sci Public Interest, 13, pp.106~131 (2012)
- Eg R, "A scoping review of personalized user experiences on social media : the interplay between algorithms and human factors", Comput Hum Behav Rep, 9, pp.100253~ (2023)
- Wang Y, "Understanding and neutralising COVID-19 misinformation and disinformation", BMJ, 379, pp.e070331~ (2022)
- Pager D, "The sociology of discrimination : racial discrimination in employment, housing, credit, and consumer markets", Annu Rev Sociol, 34, pp.181~209 (2008)
- "The Sustainable Development Goals: sexual and gender minorities" (2018)[URL]
- "Fake news on social media: people believe what they want to believe when it makes no sense at all" (2018)[URL]
- "Conservatives try to rebrand the coronavirus" (2020)[URL]
- Hu Z, "The COVID-19 infodemic : infodemiology study analyzing stigmatizing search terms", J Med Internet Res, 22, pp.e22639~ (2020)
- Bhanot D, "Stigma and discrimination during COVID-19 pandemic", Front Public Health, 8, pp.577018~ (2021)
- Torres-Atencio I, "COVID-19 : Panama stockpiles unproven drugs", Nature, 587, pp.548~ (2020)
- Mendel A, "Hydroxychloroquine shortages during the COVID-19 pandemic", Ann Rheum Dis, 80, pp.e31~ (2021)
- Seydi E, "Cardiotoxicity of chloroquine and hydroxychloroquine through mitochondrial pathway", BMC Pharmacol Toxicol, 24, pp.26~ (2023)
- Ferner RE, "Chloroquine and hydroxychloroquine in covid-19", BMJ, 369, pp.m1432~ (2020)
- Roozenbeek J, "Susceptibility to misinformation about COVID-19 around the world", R Soc Open Sci, 7, pp.201199~ (2020)
- Nyhan B, "Effective messages in vaccine promotion : a randomized trial", Pediatrics, 133, pp.e835~e842 (2014)
- "Facebook’s algorithm: a major threat to public health" (2020)[URL]
- "South Africa enacts regulations criminalizing ‘disinformation’ on coronavirus outbreak" (2020)[URL]
- Bin Naeem S, "COVID-19 misinformation online and health literacy : a brief overview", Int J Environ Res Public Health, 18, pp.8091~ (2021)
- Schulz PJ, "The perils of misinformation : when health literacy goes awry", Nat Rev Nephrol, 18, pp.135~136 (2022)
- Horne Z, "Countering antivaccination attitudes", Proc Natl Acad Sci U S A, 112, pp.10321~10324 (2015)