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Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis

Overview of attention for article published in BMJ Health & Care Informatics, February 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 495)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
41 X users
facebook
1 Facebook page
reddit
5 Redditors

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
Published in
BMJ Health & Care Informatics, February 2023
DOI 10.1136/bmjhci-2022-100665
Pubmed ID
Authors

Brianna M White, Chad Melton, Parya Zareie, Robert L Davis, Robert A Bednarczyk, Arash Shaban-Nejad

Abstract

The COVID-19 pandemic has introduced new opportunities for health communication, including an increase in the public's use of online outlets for health-related emotions. People have turned to social media networks to share sentiments related to the impacts of the COVID-19 pandemic. In this paper, we examine the role of social messaging shared by Persons in the Public Eye (ie, athletes, politicians, news personnel, etc) in determining overall public discourse direction. We harvested approximately 13 million tweets ranging from 1 January 2020 to 1 March 2022. The sentiment was calculated for each tweet using a fine-tuned DistilRoBERTa model, which was used to compare COVID-19 vaccine-related Twitter posts (tweets) that co-occurred with mentions of People in the Public Eye. Our findings suggest the presence of consistent patterns of emotional content co-occurring with messaging shared by Persons in the Public Eye for the first 2 years of the COVID-19 pandemic influenced public opinion and largely stimulated online public discourse. We demonstrate that as the pandemic progressed, public sentiment shared on social networks was shaped by risk perceptions, political ideologies and health-protective behaviours shared by Persons in the Public Eye, often in a negative light. We argue that further analysis of public response to various emotions shared by Persons in the Public Eye could provide insight into the role of social media shared sentiment in disease prevention, control and containment for COVID-19 and in response to future disease outbreaks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Unspecified 3 9%
Researcher 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 15 43%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Social Sciences 4 11%
Unspecified 3 9%
Business, Management and Accounting 2 6%
Sports and Recreations 2 6%
Other 3 9%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 120. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2023.
All research outputs
#351,201
of 25,600,774 outputs
Outputs from BMJ Health & Care Informatics
#6
of 495 outputs
Outputs of similar age
#8,452
of 427,375 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 19 outputs
Altmetric has tracked 25,600,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 495 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 427,375 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.