COVID-19, a tale of two pandemics: novel coronavirus and fake news messaging

Atehortua, Nelson A; Patino, Stella

doi:10.1093/heapro/daaa140

Cited by 71 publications

(54 citation statements)

References 28 publications

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“…However, it should be noted that information seeking about COVID-19 and risk perception may reciprocally interact with each other [47]. Previous research showed that health-related misleading and false information is often shared through social media [33,48,49]. Political conservatism [32], relying on social media for COVID-19 information [32,33], and lack in trust in health authorities [50] are clearly linked to an increased susceptibility to misinformation.…”

Section: Discussionmentioning

confidence: 99%

Factors That Shape People’s Attitudes towards the COVID-19 Pandemic in Germany—The Influence of MEDIA, Politics and Personal Characteristics

Cardo

Kraus

Kaifie

2021

IJERPH

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Misinformation that accompanied the current SARS-CoV-2 pandemic led to an impaired risk perception, resulting in the refusal of personal protection measures, as well as a reduced willingness to receive a vaccination. In order to identify factors that might influence people’s attitudes towards COVID-19 policies and engagement in mitigation measures, we carried out a cross-sectional study in Germany. Altogether, n = 808 participants completed our questionnaire concerning items on demographics, media consumption, risk perception, and trust in health authorities, as well as willingness to receive a vaccination. An overwhelming majority of our participants perceived SARS-CoV-2 as a health threat (85.7%), and almost two thirds (63.5%) mentioned they would get vaccinated against SARS-CoV-2 when a vaccination was available. A greater likelihood of vaccination intention was associated with being male (71.5% male vs. 60% female, p < 0.05), left-wing voting, trusting health authorities, using public media as an information source about COVID-19, and, in particular, perceiving COVID-19 as a health threat. A better understanding of factors that contribute to vaccine hesitancy is indispensable in order to eliminate doubts, increase vaccination rates, and create herd immunity, to stop further virus transmission.

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Section: Discussionmentioning

confidence: 99%

Factors That Shape People’s Attitudes towards the COVID-19 Pandemic in Germany—The Influence of MEDIA, Politics and Personal Characteristics

Cardo

Kraus

Kaifie

2021

IJERPH

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“…Our study shows that developing models predicting vaccine adherence or hesitancy based on easy-to-collect data not related to a specific disease or treatment delivers highquality outputs (around 85%). Our predictive machine-learning models can support health communication policies to improve the dissemination and the impact of evidence-based information on vaccines and vaccination [38,39].…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Reasons for Taking the COVID-19 Vaccine by US Social Media Users

2021

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Political and public health leaders promoting COVID-19 vaccination should identify the most relevant criteria driving the vaccination decision. Social media is increasingly used as a source of vaccination data and as a powerful communication tool to increase vaccination. In December 2020, we performed a cross-sectional social media-based survey addressing personal sentiments toward COVID-19 vaccination in the USA. Our primary research objective is to identify socio-demographic characteristics and the reasons for the 1644 survey participants’ attitudes regarding vaccination. We present clear evidence that, contrary to the prevailing public perceptions, young audiences using social media have mostly a positive attitude towards COVID-19 vaccination (81.5%). These younger individuals want to protect their families and their relatives (96.7%); they see vaccination as an act of civic responsibility (91.9%) and express strong confidence in their healthcare providers (87.7%). Another critical factor is the younger population’s fear of personal COVID-19 infection (88.2%); moreover, the greater the number of children the participants have, the greater is their intent to get the COVID-19 vaccine. These results enable a practical public-messaging pathway to reinforce vaccination campaigns addressing the younger population.

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“…Web can be used for spreading misinformation and hate speech on COVID-19 information. AI-based tools play a vital role in fighting against hate speech ( Atehortua & Patino, 2021 ).…”

Section: Social Implicationsmentioning

confidence: 99%

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Kumar

Singh

Kaur

et al. 2021

PeerJ Computer Science

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Background Until now, there are still a limited number of resources available to predict and diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 patients is an open area of research. Also, the development of the COVID-19 rapid testing kits is still a challenging task. Methodology This review focuses on two prime challenges caused by urgent needs to effectively address the challenges of the COVID-19 pandemic, i.e., the development of COVID-19 classification tools and drug discovery models for COVID-19 infected patients with the help of artificial intelligence (AI) based techniques such as machine learning and deep learning models. Results In this paper, various AI-based techniques are studied and evaluated by the means of applying these techniques for the prediction and diagnosis of COVID-19 disease. This study provides recommendations for future research and facilitates knowledge collection and formation on the application of the AI techniques for dealing with the COVID-19 epidemic and its consequences. Conclusions The AI techniques can be an effective tool to tackle the epidemic caused by COVID-19. These may be utilized in four main fields such as prediction, diagnosis, drug design, and analyzing social implications for COVID-19 infected patients.

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COVID-19, a tale of two pandemics: novel coronavirus and fake news messaging

Cited by 71 publications

References 28 publications

Factors That Shape People’s Attitudes towards the COVID-19 Pandemic in Germany—The Influence of MEDIA, Politics and Personal Characteristics

Factors That Shape People’s Attitudes towards the COVID-19 Pandemic in Germany—The Influence of MEDIA, Politics and Personal Characteristics

Reasons for Taking the COVID-19 Vaccine by US Social Media Users

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

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