Public perceptions on Twitter of nurses during the COVID-19 pandemic.

IF 1.2 4区 医学 Q3 NURSING
Umit Tokac, Petra Brysiewicz, Jennifer Chipps
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引用次数: 4

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.

COVID-19大流行期间公众在Twitter上对护士的看法。
背景:在过去十年中,利用社交媒体平台传达与健康相关主题的公众意见和态度呈指数级增长。在所有这些与大流行有关的社交媒体帖子中,都特别关注卫生保健专业人员,特别是护士。目的:本研究旨在探索在大流行的特定时期,“护士”一词如何在与COVID-19大流行相关的推文中出现,以评估公众的看法。方法:从Twitter上下载2020年1月1日至2021年11月11日期间与COVID-19相关的推文。情绪分析用于识别推文中表达的观点、情绪和方法,其中包括“护士”、“COVID-19”和“大流行”作为关键词或标签。结果:在下载的582399条推文中,共收录了2440696个最常用的独特词汇,情绪分析显示,24.4% (n = 595,530)的推文在COVID-19期间表现出积极情绪,14.1% (n = 343,433)的推文表现出消极情绪。在这些结果中,17% (n = 416,366)的推文包含积极的信任基本情感词汇,4.9% (n = 120,654)包含快乐。在消极基本情绪词汇方面,9.9% (n = 241,758)的推文包含了“恐惧”一词,8.3% (n = 202,179)的推文包含了“期待”一词,7.9% (n = 193,145)的推文包含了“悲伤”一词,5.7% (n = 139,791)的推文包含了“愤怒”一词,4.2% (n = 103,936)的推文包含了“厌恶”一词,3.6% (n = 88,338)的推文包含了“惊讶”一词。结论:令人鼓舞的是,随着重大卫生危机的出现,公众在社交媒体上的看法似乎描绘了护士的形象,反映了该职业的专业精神和价值观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Contemporary Nurse
Contemporary Nurse 医学-护理
CiteScore
2.00
自引率
6.20%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Contemporary Nurse is an international peer-reviewed journal designed to increase nursing skills, knowledge and communication, assist in professional development and to enhance educational standards by publishing stimulating, informative and useful articles on a range of issues influencing professional nursing research, teaching and practice. Contemporary Nurse is a forum for nursing educators, researchers and professionals who require high-quality, peer-reviewed research on emerging research fronts, perspectives and protocols, community and family health, cross-cultural research, recruitment, retention, education, training and practitioner perspectives. Contemporary Nurse publishes original research articles, reviews and discussion papers.
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