Exploring COVID-19 Vaccine Hesitancy Through Topic Modeling: A Systematic Literature Review DOI

Tedo Hariscandra,

Sri Handika Utami,

Achmad Nizar Hidayanto

et al.

Published: Dec. 8, 2023

The spotlight on Vaccine Hesitancy has intensified since the onset of Covid-19 pandemic in 2020. This issue involves crucial aspects such as assessing vaccine efficacy, safety, effectiveness, and potential side effects. While past studies have provided an overview hesitancy, advancing research this area requires a systematic review using topic modeling. study's primary goals are two-fold: first, to recognize examine approaches strategies employed prior for shaping discussions hesitancy-related subjects. Second, document topics identified specific geographic or country contexts, thereby providing basis future that compares results. utilizes literature (SLR) method proven framework proposed by Kitchenham. Through SLR approach, we outline various related Hesitancy, collect analyze methods techniques used previous studies, compile list topics. outcomes emphasize intricate nature hesitancy its significant worldwide consequences. study describes different modeling data analysis explore hesitancy. Additionally, countries regions may provide valuable insights follow-up comparing influence context Hesitancy. contributes deeper understanding provides important reference source policy efforts overcome vaccination challenges pandemic.

Language: Английский

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature DOI Creative Commons
Fidelia Cascini, Ana Pantović, Yazan A. Al‐Ajlouni

et al.

EClinicalMedicine, Journal Year: 2022, Volume and Issue: 48, P. 101454 - 101454

Published: May 20, 2022

Vaccine hesitancy continues to limit global efforts in combatting the COVID-19 pandemic. Emerging research demonstrates role of social media disseminating information and potentially influencing people's attitudes towards public health campaigns. This systematic review sought synthesize current evidence regarding potential shaping vaccination attitudes, explore its for interventions address issue vaccine hesitancy.

Language: Английский

Citations

228
The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review DOI Creative Commons
Sihong Zhao, Simeng Hu, Xiaoyu Zhou

et al.

JMIR Public Health and Surveillance, Journal Year: 2022, Volume and Issue: 9, P. e40201 - e40201

Published: Dec. 5, 2022

During the COVID-19 pandemic, infodemic spread even more rapidly than pandemic itself. The vaccine hesitancy has been prevalent worldwide and hindered exiting strategies. Misinformation around vaccines is a vital contributor to hesitancy. However, no evidence systematically summarized misinformation.

Language: Английский

Citations

86
A COMPREHENSIVE ANALYSIS OF COVID-19 MISINFORMATION, PUBLIC HEALTH IMPACTS AND COMMUNICATION STRATEGIES: A SCOPING REVIEW (Preprint) DOI Creative Commons
Sezer Kısa, Adnan Kısa

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 30, 2024

The COVID-19 pandemic was marked by an infodemic, characterized the rapid spread of both accurate and false information, which significantly affected public health. This infodemic led to confusion, mistrust in health authorities, noncompliance with guidelines, engagement risky behaviors. Understanding dynamics misinformation during is crucial for developing effective communication strategies.

Language: Английский

Citations

15
Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing DOI

V. S. Anoop,

S. Sasirekha Sreelakshmi

Public Health, Journal Year: 2023, Volume and Issue: 218, P. 114 - 120

Published: April 3, 2023

Language: Английский

Citations

21
Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review DOI Creative Commons
Shujie Zang, Xu Zhang, Yuting Xing

et al.

Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e40057 - e40057

Published: Jan. 17, 2023

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

Language: Английский

Citations

14
Passive data collection on Reddit: a practical approach DOI Creative Commons
Tiago Rocha-Silva, Conceição Nogueira, Liliana Rodrigues

et al.

Research Ethics, Journal Year: 2023, Volume and Issue: 20(3), P. 453 - 470

Published: Nov. 28, 2023

Since its onset, scholars have characterized social media as a valuable source for data collection since it presents several benefits (e.g. exploring research questions with hard-to-reach populations). Nonetheless, methods of online are riddled ethical and methodological challenges that researchers must consider if they want to adopt good practices when collecting analyzing data. Drawing from our primary project, where we collected passive on Reddit, explore detail the steps before data: (1) planning collection; (2) considerations; (3) collection. We also discuss two atypical should consider: how handle deleted user-generated content; quote content. Moving dichotomous discussion between what is public private data, present recommendations qualitative

Language: Английский

Citations

11
COVID-19 vaccine perspectives and uptake among university students three years into the pandemic DOI
Barbara J. Kuter, Kate S. Brien, Susannah Anderson

et al.

Vaccine, Journal Year: 2024, Volume and Issue: 42(7), P. 1745 - 1756

Published: Feb. 15, 2024

Language: Английский

Citations

4
Conspiracy narratives and vaccine hesitancy: a scoping review of prevalence, impact, and interventions DOI Creative Commons
Frederike Taubert,

Georg Meyer-Hoeven,

Philipp Schmid

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Nov. 29, 2024

Language: Английский

Citations

4
The impact of emotional expressions on the popularity of discussion threads: evidence from Reddit DOI
Mahdi Abouei, Nima Kordzadeh, Maryam Ghasemaghaei

et al.

Internet Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Purpose Users contribute to online communities by posting and responding discussion threads. Nonetheless, only a small fraction of threads gain popularity shape community discourse. Prior studies have identified several factors driving thread popularity; however, despite their prevalence, the role emotional expressions within remains understudied. This study addresses this gap investigating impact starters’ valence embedded discrete emotions anger, anxiety sadness on popularity, drawing negativity bias emotion-as-social-information theories. Design/methodology/approach Using two samples from Reddit, employs negative binomial regression analysis examine hypothesized relationships. Findings The results demonstrate that in starters significantly influences expression impacts variously. In some contexts, such as COVID-19 vaccination subreddits, anger decreases whereas sad enhance it. other professional discussions (e.g. r/Medicine subreddit), increase while no significant influence. Research limitations/implications is limited its focus specific contexts. Future research could broader range emotions, post-content modalities cultural linguistic differences. Originality/value contributes theory offering new definition enhancing our understanding discussions. It also provides practical implications for members moderators seeking promote posts help achieve goals.

Language: Английский

Citations

0
We Chased COVID-19; Did We Forget Measles? - Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing DOI

V. S. Anoop,

Jose Thekkiniath, Usharani Hareesh Govindarajan

et al.

Lecture notes in computer science, Journal Year: 2023, Volume and Issue: unknown, P. 147 - 158

Published: Jan. 1, 2023

Language: Английский

Citations

8