[HTML][HTML] Misinformation about COVID-19 vaccines on social media: rapid review

I Skafle, A Nordahl-Hansen, DS Quintana… - Journal of medical …, 2022 - jmir.org
Background The development of COVID-19 vaccines has been crucial in fighting the
pandemic. However, misinformation about the COVID-19 pandemic and vaccines is spread …

Twitter sentiment analysis from Iran about COVID 19 vaccine

ZB Nezhad, MA Deihimi - … & Metabolic Syndrome: Clinical Research & …, 2022 - Elsevier
Background and aims The development of vaccines against COVID-19 has been a global
purpose since the World Health Organization declared the pandemic. People usually use …

Role of artificial intelligence for analysis of covid-19 vaccination-related tweets: opportunities, challenges, and future trends

W Aljedaani, E Saad, F Rustam, I de la Torre Díez… - Mathematics, 2022 - mdpi.com
Pandemics and infectious diseases are overcome by vaccination, which serves as a
preventative measure. Nevertheless, vaccines also raise public concerns; public …

[HTML][HTML] Visual sentiment analysis using deep learning models with social media data

G Chandrasekaran, N Antoanela, G Andrei, C Monica… - Applied Sciences, 2022 - mdpi.com
Analyzing the sentiments of people from social media content through text, speech, and
images is becoming vital in a variety of applications. Many existing research studies on …

Public discourse and sentiment during mpox outbreak: an analysis using natural language processing

VS Anoop, S Sreelakshmi - Public Health, 2023 - Elsevier
Objectives Mpox has been declared a Public Health Emergency of International Concern by
the World Health Organization on July 23, 2022. Since early May 2022, Mpox has been …

[HTML][HTML] A comparison of ChatGPT and fine-tuned Open Pre-Trained Transformers (OPT) against widely used sentiment analysis tools: sentiment analysis of COVID …

JA Lossio-Ventura, R Weger, AY Lee… - JMIR Mental …, 2024 - mental.jmir.org
Background Health care providers and health-related researchers face significant
challenges when applying sentiment analysis tools to health-related free-text survey data …

A method for the dynamic collaboration of the public and experts in large-scale group emergency decision-making: Using social media data to evaluate the decision …

Y Zhu, X Xu, B Pan - Computers & Industrial Engineering, 2023 - Elsevier
Aiming at the complex and changeable environment and the low public participation in
emergency decision-making, this article proposes a method for the dynamic collaboration of …

Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects

S Kwon, A Park - Computers in Human Behavior, 2023 - Elsevier
Social media discourse has become a key data source for understanding the public's
perception of, and sentiments during a public health crisis. However, given the different …

[HTML][HTML] They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets

L He, T Yin, K Zheng - Journal of Biomedical Informatics, 2022 - Elsevier
Objective Sentiment analysis is an important method for understanding emotions and
opinions expressed through social media exchanges. Little work has been done to evaluate …

[HTML][HTML] Dynamics of the negative discourse toward COVID-19 vaccines: topic modeling study and an annotated data set of Twitter posts

G Lindelöf, T Aledavood, B Keller - Journal of Medical Internet Research, 2023 - jmir.org
Background: Since the onset of the COVID-19 pandemic, vaccines have been an important
topic in public discourse. The discussions around vaccines are polarized, as some see them …