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Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

Public health; Social networking (online); Vaccines; Coronaviruses; Medical; Multi-perspective; Scientific discipline; Sentiment analysis; Social; Social media; Systematic Review; Technology; Vaccine hesitancy; Sentiment analysis; Human papilloma virus vaccine; measles vaccine; SARS-CoV-2 vaccine; a...

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Main Authors: Alamoodi A.H., Zaidan B.B., Al-Masawa M., Taresh S.M., Noman S., Ahmaro I.Y.Y., Garfan S., Chen J., Ahmed M.A., Zaidan A.A., Albahri O.S., Aickelin U., Thamir N.N., Fadhil J.A., Salahaldin A.
Other Authors: 57205435311
Format: Review
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-258732023-05-29T17:05:22Z Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy Alamoodi A.H. Zaidan B.B. Al-Masawa M. Taresh S.M. Noman S. Ahmaro I.Y.Y. Garfan S. Chen J. Ahmed M.A. Zaidan A.A. Albahri O.S. Aickelin U. Thamir N.N. Fadhil J.A. Salahaldin A. 57205435311 35070872100 57219935987 57216158622 57214938634 56644806700 57213826607 57189597579 57763079000 35070838500 57201013684 11339382200 57226713718 57221314303 57313094100 Public health; Social networking (online); Vaccines; Coronaviruses; Medical; Multi-perspective; Scientific discipline; Sentiment analysis; Social; Social media; Systematic Review; Technology; Vaccine hesitancy; Sentiment analysis; Human papilloma virus vaccine; measles vaccine; SARS-CoV-2 vaccine; artificial intelligence; conspiracy theory; contact examination; coronavirus disease 2019; deep learning; health promotion; human; machine learning; measles; medical technology; misinformation; natural language processing; pandemic; papillomavirus infection; population surveillance; public health message; public opinion; Review; sentiment analysis; social media; statistical analysis; systematic review; transfer of learning; vaccination; vaccination coverage; vaccine hesitancy; COVID-19; COVID-19 Vaccines; Humans; SARS-CoV-2; Sentiment Analysis; Vaccination; Vaccination Hesitancy A substantial impediment to widespread Coronavirus disease (COVID-19) vaccination is vaccine hesitancy. Many researchers across scientific disciplines have presented countless studies in favor of COVID-19 vaccination, but misinformation on social media could hinder vaccination efforts and increase vaccine hesitancy. Nevertheless, studying people's perceptions on social media to understand their sentiment presents a powerful medium for researchers to identify the causes of vaccine hesitancy and therefore develop appropriate public health messages and interventions. To the best of the authors' knowledge, previous studies have presented vaccine hesitancy in specific cases or within one scientific discipline (i.e., social, medical, and technological). No previous study has presented findings via sentiment analysis for multiple scientific disciplines as follows: (1) social, (2) medical, public health, and (3) technology sciences. Therefore, this research aimed to review and analyze articles related to different vaccine hesitancy cases in the last 11 years and understand the application of sentiment analysis on the most important literature findings. Articles were systematically searched in Web of Science, Scopus, PubMed, IEEEXplore, ScienceDirect, and Ovid from January 1, 2010, to July 2021. A total of 30 articles were selected on the basis of inclusion and exclusion criteria. These articles were formed into a taxonomy of literature, along with challenges, motivations, and recommendations for social, medical, and public health and technology sciences. Significant patterns were identified, and opportunities were promoted towards the understanding of this phenomenon. � 2021 Elsevier Ltd Final 2023-05-29T09:05:22Z 2023-05-29T09:05:22Z 2021 Review 10.1016/j.compbiomed.2021.104957 2-s2.0-85117894540 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117894540&doi=10.1016%2fj.compbiomed.2021.104957&partnerID=40&md5=a29948bc226d2b6e7e8df8d09ca06174 https://irepository.uniten.edu.my/handle/123456789/25873 139 104957 All Open Access, Green Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Public health; Social networking (online); Vaccines; Coronaviruses; Medical; Multi-perspective; Scientific discipline; Sentiment analysis; Social; Social media; Systematic Review; Technology; Vaccine hesitancy; Sentiment analysis; Human papilloma virus vaccine; measles vaccine; SARS-CoV-2 vaccine; artificial intelligence; conspiracy theory; contact examination; coronavirus disease 2019; deep learning; health promotion; human; machine learning; measles; medical technology; misinformation; natural language processing; pandemic; papillomavirus infection; population surveillance; public health message; public opinion; Review; sentiment analysis; social media; statistical analysis; systematic review; transfer of learning; vaccination; vaccination coverage; vaccine hesitancy; COVID-19; COVID-19 Vaccines; Humans; SARS-CoV-2; Sentiment Analysis; Vaccination; Vaccination Hesitancy
author2 57205435311
author_facet 57205435311
Alamoodi A.H.
Zaidan B.B.
Al-Masawa M.
Taresh S.M.
Noman S.
Ahmaro I.Y.Y.
Garfan S.
Chen J.
Ahmed M.A.
Zaidan A.A.
Albahri O.S.
Aickelin U.
Thamir N.N.
Fadhil J.A.
Salahaldin A.
format Review
author Alamoodi A.H.
Zaidan B.B.
Al-Masawa M.
Taresh S.M.
Noman S.
Ahmaro I.Y.Y.
Garfan S.
Chen J.
Ahmed M.A.
Zaidan A.A.
Albahri O.S.
Aickelin U.
Thamir N.N.
Fadhil J.A.
Salahaldin A.
spellingShingle Alamoodi A.H.
Zaidan B.B.
Al-Masawa M.
Taresh S.M.
Noman S.
Ahmaro I.Y.Y.
Garfan S.
Chen J.
Ahmed M.A.
Zaidan A.A.
Albahri O.S.
Aickelin U.
Thamir N.N.
Fadhil J.A.
Salahaldin A.
Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
author_sort Alamoodi A.H.
title Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
title_short Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
title_full Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
title_fullStr Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
title_full_unstemmed Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
title_sort multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
publisher Elsevier Ltd
publishDate 2023
_version_ 1806426397573382144
score 13.222552

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