Your Tweets Matter: How Social Media Sentiments Associate with COVID-19 Vaccination Rates in the US

01/20/2022
by   Ana Aleksandric, et al.
0

Objective: The aims of the study were to examine the association between social media sentiments surrounding COVID-19 vaccination and the effects on vaccination rates in the United States (US), as well as other contributing factors to the COVID-19 vaccine hesitancy. Method: The dataset used in this study consists of vaccine-related English tweets collected in real-time from January 4 - May 11, 2021, posted within the US, as well as health literacy (HL), social vulnerability index (SVI), and vaccination rates at the state level. Results: The findings presented in this study demonstrate a significant correlation between the sentiments of the tweets and the vaccination rate in the US. The results also suggest a significant negative association between HL and SVI and that the state demographics correlate with both HL and SVI. Discussion: Social media activity provides insights into public opinion about vaccinations and helps determine the required public health interventions to increase the vaccination rate in the US. Conclusion: Health literacy, social vulnerability index and monitoring of social media sentiments need to be considered in public health interventions as part of vaccination campaigns.

READ FULL TEXT

page 4

page 5

research
10/07/2021

KPop Fandoms drive COVID-19 Public Health Messaging on Social Media

This report examines an unexpected but significant source of positive pu...
research
04/14/2020

Quantifying Community Characteristics of Maternal Mortality Using Social Media

While most mortality rates have decreased in the US, maternal mortality ...
research
08/08/2020

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

COVID-19's impact has surpassed from personal and global health to our s...
research
05/15/2023

An assessment of measuring local levels of homelessness through proxy social media signals

Recent studies suggest social media activity can function as a proxy for...
research
10/26/2021

Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation

Information sharing on social media must be accompanied by attentive beh...
research
03/09/2017

Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media

A person's weight status can have profound implications on their life, r...

Please sign up or login with your details

Forgot password? Click here to reset