Cargando…

Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study

BACKGROUND: Antivaccination views pervade online social media, fueling distrust in scientific expertise and increasing the number of vaccine-hesitant individuals. Although previous studies focused on specific countries, the COVID-19 pandemic has brought the vaccination discourse worldwide, underpinn...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lenti, Jacopo, Mejova, Yelena, Kalimeri, Kyriaki, Panisson, André, Paolotti, Daniela, Tizzani, Michele, Starnini, Michele
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226529/ https://www.ncbi.nlm.nih.gov/pubmed/37223965 http://dx.doi.org/10.2196/44714

Ejemplares similares

Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum
por: Betti, Lorenzo, et al.
Publicado: (2021)

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis
por: Gozzi, Nicolò, et al.
Publicado: (2020)

Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data
por: Piaggesi, Simone, et al.
Publicado: (2022)

Multilingual Twitter Sentiment Classification: The Role of Human Annotators
por: Mozetič, Igor, et al.
Publicado: (2016)

The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
por: Tizzoni, Michele, et al.
Publicado: (2020)

Misinformation Dissemination in Twitter in the COVID-19 Era
por: Krittanawong, Chayakrit, et al.
Publicado: (2020)

An exploratory study of COVID-19 misinformation on Twitter
por: Shahi, Gautam Kishore, et al.
Publicado: (2021)

Zika discourse in the Americas: A multilingual topic analysis of Twitter
por: Pruss, Dasha, et al.
Publicado: (2019)

An augmented multilingual Twitter dataset for studying the COVID-19 infodemic
por: Lopez, Christian E., et al.
Publicado: (2021)

A multilingual dataset of COVID-19 vaccination attitudes on Twitter
por: Chen, Ninghan, et al.
Publicado: (2022)

Multilingual text categorization and sentiment analysis: a comparative analysis of the utilization of multilingual approaches for classifying twitter data
por: Manias, George, et al.
Publicado: (2023)

How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study
por: Adler, Natalia, et al.
Publicado: (2019)

Exploring content of misinformation about HPV vaccine on twitter
por: Kornides, Melanie L., et al.
Publicado: (2022)

Measuring exposure to misinformation from political elites on Twitter
por: Mosleh, Mohsen, et al.
Publicado: (2022)

Dynamics and characteristics of misinformation related to earthquake predictions on Twitter
por: Dallo, Irina, et al.
Publicado: (2023)

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

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

The Twitter pandemic: The critical role of Twitter in the dissemination of medical information and misinformation during the COVID-19 pandemic
por: Rosenberg, Hans, et al.
Publicado: (2020)

Ideological differences in engagement in public debate on Twitter
por: Gaisbauer, Felix, et al.
Publicado: (2021)

COVID-19 policies and the arising of debate on twitter
por: Gozzo, Simona, et al.
Publicado: (2023)

The evolution of language ideological debates about English and French in a multilingual humanitarian organisation
por: Garrido, Maria Rosa
Publicado: (2021)

Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter
por: Kouzy, Ramez, et al.
Publicado: (2020)

Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter
Publicado: (2020)

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study
por: Pierri, Francesco, et al.
Publicado: (2023)

Author Correction: Measuring exposure to misinformation from political elites on Twitter
por: Mosleh, Mohsen, et al.
Publicado: (2022)

Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
por: Yussof, Izzati, et al.
Publicado: (2023)

An analysis of AstraZeneca COVID-19 vaccine misinformation and fear mongering on Twitter
por: Jemielniak, D., et al.
Publicado: (2021)

Fine-Tuning BERT Models to Classify Misinformation on Garlic and COVID-19 on Twitter
por: Kim, Myeong Gyu, et al.
Publicado: (2022)

Do Twitter users change their behavior after exposure to misinformation? An in-depth analysis
por: Wang, Yichen, et al.
Publicado: (2022)

Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study
por: Ozella, Laura, et al.
Publicado: (2019)

Multilingual identities in a global city : London stories /
por: Block, David
Publicado: (2008)

Strengths and limitations of relative wealth indices derived from big data in Indonesia
por: Sartirano, Daniele, et al.
Publicado: (2023)

The Influence of Provaping “Gatewatchers” on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic
por: Silver, Nathan, et al.
Publicado: (2022)

Behavior Change Around an Online Health Awareness Campaign: A Causal Impact Study
por: Suarez-Lledo, Victor, et al.
Publicado: (2022)

Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter
por: Burel, Grégoire, et al.
Publicado: (2021)

ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection
por: Hayawi, K., et al.
Publicado: (2022)

Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes
por: Sharevski, Filipo, et al.
Publicado: (2022)

Use of Twitter Amplifiers by Medical Professionals to Combat Misinformation During the COVID-19 Pandemic
por: Royan, Regina, et al.
Publicado: (2022)

Aspect-based classification of vaccine misinformation: a spatiotemporal analysis using Twitter chatter
por: Ismail, Heba, et al.
Publicado: (2023)

Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study
por: Isip Tan, Iris Thiele, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_jc7esq2plrc32td8a5tu6mkdma