Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data

Baj-Rogowska, Anna

doi:10.1109/access.2021.3115554

Cited by 13 publications

(12 citation statements)

References 47 publications

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“…113,114 The value of observations gained from these studies further justifies its widespread application in different fields including marketing, politics and, in this case, public opinion and public health. 115,116 Overall, misinformation and the spread of anti-vaccination communities on social media platforms contributes to masking healthy behaviors and promotes practices that contribute to negative health outcomes. While restricting information spread on social media continues to be a complex issue, the findings of this review demonstrate the significant importance of building platforms for disseminating authentic public health messages.…”

Section: Discussionmentioning

confidence: 99%

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature

et al. 2022

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Section: Discussionmentioning

confidence: 99%

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature

et al. 2022

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“…Fifty-three studies applied social media for topic analysis on COVID-19 vaccination. Topic analysis methods included latent Dirichlet allocation (LDA) topic modeling (n=24) [20,23,25,31,34,35,40,47,50,51,[54][55][56]58,60,61,64,[87][88][89][90][91][92][93], manual coding (n=17) [57,80,[94][95][96][97][98][99][100][101][102][103][104][105][106][107][108], and other algorithms (n=12) [26,43,62,[109][110][111][112][113][114]…”

Section: Topic Analysismentioning

confidence: 99%

Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

et al. 2023

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Background Social media and digital technologies have played essential roles in disseminating information and promoting vaccination during the COVID-19 pandemic. There is a need to summarize the applications and analytical techniques of social media and digital technologies in monitoring vaccine attitudes and administering COVID-19 vaccines. Objective We aimed to synthesize the global evidence on the applications of social media and digital technologies in COVID-19 vaccination and to explore their avenues to promote COVID-19 vaccination. Methods We searched 6 databases (PubMed, Scopus, Web of Science, Embase, EBSCO, and IEEE Xplore) for English-language articles from December 2019 to August 2022. The search terms covered keywords relating to social media, digital technology, and COVID-19 vaccines. Articles were included if they provided original descriptions of applications of social media or digital health technologies/solutions in COVID-19 vaccination. Conference abstracts, editorials, letters, commentaries, correspondence articles, study protocols, and reviews were excluded. A modified version of the Appraisal Tool for Cross-Sectional Studies (AXIS tool) was used to evaluate the quality of social media–related studies. The review was undertaken with the guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Results A total of 178 articles were included in our review, including 114 social media articles and 64 digital technology articles. Social media has been applied for sentiment/emotion analysis, topic analysis, behavioral analysis, dissemination and engagement analysis, and information quality analysis around COVID-19 vaccination. Of these, sentiment analysis and topic analysis were the most common, with social media data being primarily analyzed by lexicon-based and machine learning techniques. The accuracy and reliability of information on social media can seriously affect public attitudes toward COVID-19 vaccines, and misinformation often leads to vaccine hesitancy. Digital technologies have been applied to determine the COVID-19 vaccination strategy, predict the vaccination process, optimize vaccine distribution and delivery, provide safe and transparent vaccination certificates, and perform postvaccination surveillance. The applied digital technologies included algorithms, blockchain, mobile health, the Internet of Things, and other technologies, although with some barriers to their popularization. Conclusions The applications of social media and digital technologies in addressing COVID-19 vaccination–related issues represent an irreversible trend. Attention should be paid to the ethical issues and health inequities arising from the digital divide while applying and promoting these technologies.

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“…Liu and Liu [36] showed that the public sentiment on COVID-19 vaccines varied over time and depended on geographic location, and Cotfas et al [13,14] underlined that the general public interest in the vaccination process has presented spikes that can be connected with the major events presented in the media in the selected period. Baj-Rogowska [37] used Twitter data to map the vaccine uptake determinants among Polish users and identified six dimensions with influence on COVID-19 vaccine uptake: access, affordability, awareness, acceptance, activation and assurance.…”

Section: Literature Reviewmentioning

confidence: 99%

New Wave of COVID-19 Vaccine Opinions in the Month the 3rd Booster Dose Arrived

et al. 2022

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Vaccination has been proposed as one of the most effective methods to combat the COVID-19 pandemic. Since the day the first vaccine, with an efficiency of more than 90%, was announced, the entire vaccination process and its possible consequences in large populations have generated a series of discussions on social media. Whereas the opinions triggered by the administration of the initial COVID-19 vaccine doses have been discussed in depth in the scientific literature, the approval of the so-called 3rd booster dose has only been analyzed in country-specific studies, primarily using questionnaires. In this context, the present paper conducts a stance analysis using a transformer-based deep learning model on a dataset containing 3,841,594 tweets in English collected between 12 July 2021 and 11 August 2021 (the month in which the 3rd dose arrived) and compares the opinions (in favor, neutral and against) with the ones extracted at the beginning of the vaccination process. In terms of COVID-19 vaccination hesitance, an analysis based on hashtags, n-grams and latent Dirichlet allocation is performed that highlights the main reasons behind the reluctance to vaccinate. The proposed approach can be useful in the context of the campaigns related to COVID-19 vaccination as it provides insights related to the public opinion and can be useful in creating communication messages to support the vaccination campaign.

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Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data

Cited by 13 publications

References 47 publications

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature

Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review

New Wave of COVID-19 Vaccine Opinions in the Month the 3rd Booster Dose Arrived

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