Suppr超能文献

疫苗犹豫中的新冠疫情话题与情感框架:一项社交媒体文本及情感分析

COVID-19 topics and emotional frames in vaccine hesitation: A social media text and sentiment analysis.

作者信息

Sussman Kristen L, Bouchacourt Lindsay, Bright Laura F, Wilcox Gary B, Mackert Michael, Norwood Aliza Steinberg, Allport Altillo Brandon Shaun

机构信息

School of Journalism and Mass Communication at Texas State University, San Marcos, TX, USA.

Stan Richards School of Advertising and Public Relations at The University of Texas at Austin, Moody College of Communication at the University of Texas at Austin, Austin, TX, USA.

出版信息

Digit Health. 2023 Mar 3;9:20552076231158308. doi: 10.1177/20552076231158308. eCollection 2023 Jan-Dec.

Abstract

OBJECTIVE

Addressing gaps in COVID-19 vaccine-hesitancy research, the current study aimed to add depth and nuance to the exploratory research examining vaccine-hesitant groups. Using a larger, but more focused conversation occurring on social media, the results can be used by health communicators to frame emotionally resonant messaging to improve COVID-19 vaccine advocacy while also mitigating negative concerns for vaccine-hesitant individuals.

METHODS

Social media mentions were collected using a social media listening software, Brandwatch, to examine topics and sentiments in COVID-19 hesitancy discourse during a period of September 1, 2020, through December 31, 2020. The results from this query included publicly available mentions on two popular social media sites, Twitter and Reddit. The dataset of 14,901 global, English language messages were analyzed using a computer-assisted process in SAS text-mining and Brandwatch software. The data revealed eight unique topics before being analyzed by sentiment.

RESULTS

Among the COVID-19 hesitancy data, trust-related topics emerged that included declining vaccine acceptance, a parallel pandemic of distrust, and a call for politicians to let the scientific process work, among others. Positive sentiment revealed interest in the sources which included healthcare professionals, doctors, and government organizations. Pfizer was found to elicit both positive and negative emotions in the vaccine-hesitancy data. The negative sentiment tended to dominate the hesitancy conversation, accelerating once vaccines hit the market.

CONCLUSIONS

Relevant topics were identified to help support targeted communication, strategically accelerate vaccine acceptance, and mitigate COVID-19 vaccine hesitancy among the public. Strategic methods of online and offline messaging tactics are suggested to reach diverse, malleable populations of interest. Topics of personal anecdotes of safety, effectiveness, and recommendations among families are identified as persuasive communication opportunities.

摘要

目的

针对新冠疫苗犹豫研究中的空白,本研究旨在深化并细化对疫苗犹豫群体的探索性研究。通过分析社交媒体上规模更大但更具针对性的对话,健康传播者可利用研究结果构建能引发情感共鸣的信息,以促进新冠疫苗宣传,同时减轻疫苗犹豫者的负面担忧。

方法

使用社交媒体监听软件Brandwatch收集社交媒体提及内容,以考察2020年9月1日至2020年12月31日期间新冠疫苗犹豫话语中的话题和情绪。该查询结果包括在两个热门社交媒体网站Twitter和Reddit上公开的提及内容。使用SAS文本挖掘和Brandwatch软件中的计算机辅助流程对14901条全球英语信息的数据集进行分析。在按情绪分析之前,数据显示出八个独特的话题。

结果

在新冠疫苗犹豫数据中,出现了与信任相关的话题,包括疫苗接受度下降、信任危机的平行流行以及呼吁政客让科学进程发挥作用等。积极情绪表明人们对医疗保健专业人员、医生和政府组织等信息来源感兴趣。在疫苗犹豫数据中,辉瑞引发了积极和消极两种情绪。消极情绪在犹豫对话中往往占主导地位,疫苗上市后这种情况加剧。

结论

确定了相关话题,以帮助支持有针对性的沟通,从战略上加速疫苗接受度,并减轻公众对新冠疫苗的犹豫。建议采用线上和线下信息传递策略的战略方法,以覆盖不同的、可塑性强的目标人群。个人关于安全性、有效性的轶事以及家庭中的建议等话题被确定为有说服力的沟通机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d23/9989441/c154ddfd638b/10.1177_20552076231158308-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验