Public perceptions on Twitter of nurses during the COVID-19 pandemic.
Contemp Nurse
; : 1-10, 2022 Nov 25.
Article
in English
| MEDLINE | ID: covidwho-2106955
ABSTRACT
BACKGROUND:
The use of social media platforms to convey public opinions and attitudes has exponentially increased over the last decade on topics related to health. In all these social media postings related to the pandemic, specific attention has been focused on healthcare professionals, specifically nurses.OBJECTIVE:
This study aimed to explore how the keyword 'nurse' is located in COVID-19 pandemic-related tweets during a selected period of the pandemic in order to assess public perception.METHODS:
Tweets related to COVID-19 were downloaded from Twitter for the period January 1st, 2020, to November 11th, 2021. Sentiment analysis was used to identify opinions, emotions, and approaches expressed in tweet which included 'nurse', 'COVID-19', and 'pandemic' as either keyword or hashtags.RESULTS:
A total of 2,440,696 most used unique words in the downloaded 582,399 tweets were included and the sentiment analysis indicated that 24.4% (n = 595,530) of the tweets demonstrated positive sentiment while 14.1% (n = 343,433) of the tweets demonstrated negative sentiment during COVID-19. Within these results, 17% (n = 416,366) of the tweets included positive basic emotion words of trust and 4.9% (n = 120,654) of joy. In terms of negative basic emotion words, 9.9% (n = 241,758) of the tweets included the word fear, 8.3% (n = 202,179) anticipation, 7.9% (n = 193,145) sadness, 5.7% (n = 139,791) anger, 4.2% (n = 103,936) disgust, and 3.6% (n = 88,338) of the tweets included the word surprised.CONCLUSIONS:
It is encouraging to note that with the advent of major health crises, public perceptions on social media, appears to portray an image of nurses which reflects the professionalism and values of the profession.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
Contemp Nurse
Journal subject:
Nursing
Year:
2022
Document Type:
Article
Affiliation country:
10376178.2022.2147850
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