Cargando…

Negative COVID-19 Vaccine Information on Twitter: Content Analysis

BACKGROUND: Social media platforms, such as Facebook, Instagram, Twitter, and YouTube, have a role in spreading anti-vaccine opinion and misinformation. Vaccines have been an important component of managing the COVID-19 pandemic, so content that discourages vaccination is generally seen as a concern...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yiannakoulias, Niko, Darlington, J Connor, Slavik, Catherine E, Benjamin, Grant
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2022
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632001/ https://www.ncbi.nlm.nih.gov/pubmed/36348980 http://dx.doi.org/10.2196/38485

Ejemplares similares

Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis
por: Slavik, Catherine E, et al.
Publicado: (2021)

Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies
por: Slavik, Catherine E., et al.
Publicado: (2021)

Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis
por: Al-Rawi, Ahmed, et al.
Publicado: (2022)

The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets
por: Charbonneau, Esther, et al.
Publicado: (2022)

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic
por: Kreps, Sarah, et al.
Publicado: (2022)

Public perception of COVID-19 vaccines through analysis of Twitter content and users
por: Saleh, Sameh N., et al.
Publicado: (2023)

How News Agencies’ Twitter Posts on COVID-19 Vaccines Attract Audiences’ Twitter Engagement: A Content Analysis
por: Wang, Di, et al.
Publicado: (2022)

Credibility of vaccine-related content on Twitter during COVID-19 pandemic
por: Yousefinaghani, Samira, et al.
Publicado: (2023)

Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development
por: Horawalavithana, Sameera, et al.
Publicado: (2022)

Types of Racism and Twitter Users’ Responses Amid the COVID-19 Outbreak: Content Analysis
por: Lloret-Pineda, Amanda, et al.
Publicado: (2022)

COVID-Washing in US Food and Beverage Marketing on Twitter: Content Analysis
por: Tsai, Krystle A, et al.
Publicado: (2022)

Content Analysis of Idiopathic Pulmonary Fibrosis-related Information on Twitter
por: Ong, Shaun, et al.
Publicado: (2022)

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis
por: Rao, Ashwin, et al.
Publicado: (2021)

Sex Workers’ Lived Experiences With COVID-19 on Social Media: Content Analysis of Twitter Posts
por: Al-Rawi, Ahmed, et al.
Publicado: (2022)

Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis
por: Rose, Shyanika W, et al.
Publicado: (2017)

COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies
por: Muric, Goran, et al.
Publicado: (2021)

Ice Flavor–Related Discussions on Twitter: Content Analysis
por: Galimov, Artur, et al.
Publicado: (2022)

Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends
por: Lwin, May Oo, et al.
Publicado: (2020)

Circadian mood variations in Twitter content
por: Dzogang, Fabon, et al.
Publicado: (2017)

COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis
por: Lyu, Joanne Chen, et al.
Publicado: (2021)

The #VaccinesWork Hashtag on Twitter in the Context of the COVID-19 Pandemic: Network Analysis
por: Fuster-Casanovas, Aïna, et al.
Publicado: (2022)

Public Disclosure on Social Media of Identifiable Patient Information by Health Professionals: Content Analysis of Twitter Data
por: Ahmed, Wasim, et al.
Publicado: (2020)

The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis
por: Niu, Qian, et al.
Publicado: (2022)

Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts
por: Dupuy-Zini, Alexandre, et al.
Publicado: (2023)

Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis
por: Swanson, Karl, et al.
Publicado: (2023)

The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis
por: Drescher, Larissa S, et al.
Publicado: (2021)

Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content
por: Sidani, Jaime E, et al.
Publicado: (2022)

Content Analysis of Frequency of Information About Developmental Dysplasia of the Hip on Twitter
por: Kodali, Neha, et al.
Publicado: (2021)

Official Websites Providing Information on COVID-19 Vaccination: Readability and Content Analysis
por: Yeung, Andy Wai Kan, et al.
Publicado: (2022)

COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter
por: Müller, Martin, et al.
Publicado: (2023)

Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts
por: Lindelöf, Gabriel, et al.
Publicado: (2023)

Vaccine Hesitancy and Anti-Vaccination Attitudes during the Start of COVID-19 Vaccination Program: A Content Analysis on Twitter Data
por: Küçükali, Hüseyin, et al.
Publicado: (2022)

E-Cigarette Promotion on Twitter in Australia: Content Analysis of Tweets
por: McCausland, Kahlia, et al.
Publicado: (2020)

Characterizing Precision Nutrition Discourse on Twitter: Quantitative Content Analysis
por: Batheja, Sapna, et al.
Publicado: (2023)

Examining Public Awareness of Ageist Terms on Twitter: Content Analysis
por: Schramm, Emily, et al.
Publicado: (2023)

Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study
por: Lotto, Matheus, et al.
Publicado: (2023)

Twitter Misinformation Discourses About Vaping: Systematic Content Analysis
por: Al-Rawi, Ahmed, et al.
Publicado: (2023)

Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis
por: Niu, Qian, et al.
Publicado: (2022)

Mandatory Vaccination Against COVID-19: Twitter Poll Analysis on Public Health Opinion
por: Ritschl, Valentin, et al.
Publicado: (2022)

A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis
por: Park, Susan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_pld5n4qdk6n9bnebqnstnhag5i