Nieprawdziwe informacje w zakresie szczepień ochronnych jako wyzwanie dla zdrowia publicznego

Lusawa, Aleksandra; Pinkas, Jarosław; Zgliczyński, Wojciech Stefan; Mazurek, Magdalena; Wierzba, Waldemar

doi:10.4467/20842627oz.19.006.11302

Cited by 9 publications

(8 citation statements)

References 3 publications

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“…We were able to identify at least few misinformation, cognitive errors or fake news, which significantly impact interest on “Koronawirus” topic in Poland. They fall on fertile ground, due to the script mechanism of simplifying reality, where simpler explanations are more easily absorbed by people (11). Especially since epidemiologists and public health professionals do not know enough about COVID-19 yet, and recommendations and opinions of authorities such as WHO or Ministry of Health are still being updated and often being contradictory to previous opinions (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Social media can serve as a valuable source of information as well as disinformation about the virus globally, fuelling panic and creating so-called infodemics (10), at unprecedented speed. Propaganda and persuasion techniques are widely used on the Internet, easily reaching certain target groups susceptible to conspiracy theories and effectively polarizing societies (9, 11). Panic-related behaviours accompanying a virus outbreak (7) are influencing the epidemic spread, with the Internet being the main mediating mechanism.…”

Section: Introductionmentioning

confidence: 99%

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Trends in Perception of COVID-19 in Polish Internet

Jarynowski

Wójta-Kempa

Belik

2020

Preprint

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INTRODUCTION:Due to the spread of SARS CoV-2 virus responsible for COVID-19 disease, there is an urgent need to analyse COVID-2019 epidemic perception in Poland. This study aims to investigate social perception of coronavirus in the Internet media during the epidemic. It is a signal report highlighting the main issues in public perception and medical commutation in real time. METHODS:We study the perception of COVID-2019 epidemic in Polish society using quantitative analysis of its digital footprints on the Internet on platforms: Google, Twitter, YouTube, Wikipedia and electronic media represented by Event Registry, from January 2020 to 29.04.2020 (before and after official introduction to Poland on 04.03.20). We present trend analysis with a support of natural language processing techniques. RESULTS:We identified seven temporal major clusters of interest on the topic COVID-2019: 1) Chinese, 2) Italian, 3) Waiting, 4) Mitigations, 5) Social distancing and Lockdown, 6) Anti-crisis shield, 7) Restrictions releasing. There was an exponential increase of interest when the Polish government "declared war against disease" around 11/12.03.20 with a massive mitigation program. Later on, there was a decay in interest with additional phases related to social distancing and an anti-crisis legislation act with local peaks. We have found that declarations of mitigation strategies by the Polish prime minister or the minister of health gathered the highest attention of Internet users. So enacted or in force events do not affect interest to such extent. Traditional news agencies were ahead of social media (mainly Twitter) in dissemination of information. We have observed very weak or even negative correlations between a colloquial searching term 'antiviral mask' in Google, encyclopaedic definition in Wikipedia "SARS-CoV-2" as well official incidence series, implying different mechanisms governing the search for knowledge, panic related behaviour and actual risk of acquiring infection. CONCLUSIONS:Traditional and social media do not only reflect reality, but also create it. Risk perception in Poland is unrelated to actual physical risk of acquiring COVID-19. As traditional media are ahead of social media in time, we advise to choose traditional news media for a quick dissemination of information, however for a greater impact, social media should be used. Otherwise public information campaigns might have less impact on society than expected.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trends in Perception of COVID-19 in Polish Internet

Jarynowski

Wójta-Kempa

Belik

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…We were able to identify at least few misinformation, cognitive errors or fake news, which significantly impact interest on "Koronawirus" topic in Poland. They fall on fertile ground, due to the script mechanism of simplifying reality, where simpler explanations are more easily absorbed by people ( [11]). (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Social media can serve as a valuable source of information as well as disinformation about the virus globally, fuelling panic and creating so-called infodemic [10]), at unprecedented speed. Propaganda and persuasion techniques are widely used on the Internet, easily reaching certain target groups susceptible to conspiracy theories and effectively polarizing societies ( [9,11]). Panic-related behaviours accompanying a virus outbreak [7] are influencing the epidemic spread, with the Internet being the main mediating mechanism.…”

Section: Introductionmentioning

confidence: 99%

Trends in Perception of COVID-19 in Polish Internet

Jarynowski¹,

Wójta-Kempa²,

Belik³

2020

Preprint

View full text Add to dashboard Cite

Introduction: Due to the spread of SARS CoV-2 virus responsible for COVID-19 disease, there is an urgent need to analyse COVID-19 epidemic perception in Poland. This study aims to investigate social perception of coronavirus in the Internet media during the epidemic. It is a signal report highlighting the main issues in public perception and medical commutation in real time. Methods: We study the perception of COVID-19 epidemic in Polish society using quantitative analysis of its digital footprints on the Internet on platforms: Google, Twitter, YouTube, Wikipedia and electronic media represented by Event Registry, from January 2020 to 29.04.2020 (before and after official introduction to Poland on 04.03.20). We present trend analysis with a support of natural language processing techniques. Results: We identified seven temporal major clusters of interest on the topic COVID-19: 1) Chinese, 2) Italian, 3) Waiting, 4) Mitigations, 5) Social distancing and Lockdown, 6) Anti-crisis shield, 7) Restrictions releasing. There was an exponential increase of interest when the Polish government “declared war against disease” around 11/12.03.20 with a massive mitigation program. Later on, there was a decay in interest with additional phases related to social distancing and an anti-crisis legislation act with local peaks. We have found that declarations of mitigation strategies by the Polish prime minister or the minister of health gathered the highest attention of Internet users. So enacted or in force events do not affect interest to such extent. Traditional news agencies were ahead of social media (mainly Twitter) in dissemination of information. We have observed very weak or even negative correlations between a colloquial searching term 'antiviral mask' in Google, encyclopaedic definition in Wikipedia “SARS-CoV-2” as well official incidence series, implying different mechanisms governing the search for knowledge, panic related behaviour and actual risk of acquiring infection. Conclusions: Traditional and social media do not only reflect reality, but also create it. Risk perception in Poland is unrelated to actual physical risk of acquiring COVID-19. As traditional media are ahead of social media in time, we advise to choose traditional news media for a quick dissemination of information, however for a greater impact, social media should be used. Otherwise public information campaigns might have less impact on society than expected.

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“…These groups are especially hardly able to properly estimate the risk-benefit ratio related to vaccination, so reaching them and providing information will be a key influencing factor. Moreover, some topics and concerns based on other vaccination programs [30][31][32][33][34][35][36][37][38] and COVID-19 vaccine [5,[39][40][41] have been preliminarily mapped.…”

Section: Methodsmentioning

confidence: 99%