[PDF][PDF] Categorising Vaccine Confidence with Transformer-Based Machine Learning Model: The Nuances of Vaccine Sentiment on Twitter

P Kummervold, S Martin, S Dada, E Kilich… - … Preprint posted online …, 2021 - academia.edu
Background: With growing conversations online and less than desired maternal vaccination
uptake rates, these conversations could provide useful insight to inform future interventions …

[HTML][HTML] Categorizing vaccine confidence with a transformer-based machine learning model: analysis of nuances of vaccine sentiment in Twitter discourse

PE Kummervold, S Martin, S Dada… - JMIR medical …, 2021 - medinform.jmir.org
Background: Social media has become an established platform for individuals to discuss
and debate various subjects, including vaccination. With growing conversations on the web …

Applying machine learning to identify anti-vaccination tweets during the COVID-19 pandemic

QG To, KG To, VAN Huynh, NTQ Nguyen… - International journal of …, 2021 - mdpi.com
Anti-vaccination attitudes have been an issue since the development of the first vaccines.
The increasing use of social media as a source of health information may contribute to …

[HTML][HTML] Examining the utility of social media in COVID-19 vaccination: unsupervised learning of 672,133 twitter posts

TM Liew, CS Lee - JMIR public health and surveillance, 2021 - publichealth.jmir.org
Background Although COVID-19 vaccines have recently become available, efforts in global
mass vaccination can be hampered by the widespread issue of vaccine hesitancy. Objective …

Sentiment analysis of covid-19 vaccination responses from twitter using ensemble learning

Q Ismail, R Obeidat, K Alissa… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Despite the evidence that shows the benefits and safety of immunizations, the widespread
vaccine-related misinformation and conspiracy theories online have fueled a general …

COVID-19 Vaccine Sentiment Analysis for Arabic Tweets Using Machine Learning Algorithms

N Alsahly - 2022 - search.proquest.com
The spread of misinformation on social media platforms, especially during critical situations
such as pandemics can have harmful effects on individuals and societies. This thesis builds …

Vaccine hesitancy hotspots in Africa: An insight from geotagged Twitter posts

B Ogbuokiri, A Ahmadi, ZM Nia… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Many social media users express concerns about vaccines and their side effects on Twitter.
These concerns lead to a compromise of confidence which brings about vaccine hesitancy …

Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022

QX Ng, YQJ Teo, CY Kiew, BPY Lim… - … , Behavior, and Social …, 2023 - liebertpub.com
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are
seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of …

[HTML][HTML] An analysis of French-language tweets about COVID-19 vaccines: supervised learning approach

R Sauvayre, J Vernier, C Chauvière - JMIR Medical Informatics, 2022 - medinform.jmir.org
Background As the COVID-19 pandemic progressed, disinformation, fake news, and
conspiracy theories spread through many parts of society. However, the disinformation …

Forecasting the future popularity of the anti-vax narrative on Twitter with machine learning

I Biri, UT Kucuktas, F Uysal, F Hardalac - The Journal of Supercomputing, 2024 - Springer
Social media play a significant role in shaping and spreading societal views, including anti-
vaccine sentiments that can undermine public health efforts. Understanding the extent of …