Suppr超能文献

新冠疫苗推文里的负面提及、负面情绪及情感及其与疫苗接种率的关联:192个国家的全球比较

Adverse Mentions, Negative Sentiment, and Emotions in COVID-19 Vaccine Tweets and Their Association with Vaccination Uptake: Global Comparison of 192 Countries.

作者信息

Jun Jungmi, Zain Ali, Chen Yingying, Kim Sei-Hill

机构信息

School of Journalism and Mass Communications, College of Information and Communications, University of South Carolina, Columbia, SC 29208, USA.

出版信息

Vaccines (Basel). 2022 May 8;10(5):735. doi: 10.3390/vaccines10050735.

Abstract

: Many countries show low COVID-19 vaccination rates despite high levels of readiness and delivery of vaccines. The public's misperceptions, hesitancy, and negative emotions toward vaccines are psychological factors discouraging vaccination. At the individual level, studies have revealed negative perceptual/behavioral outcomes of COVID-19 information exposure via social media where misinformation and vaccine fear flood. : This study extends research context to the global level and investigates social media discourse on the COVID-19 vaccine and its association with vaccination rates of 192 countries in the world. : COVID-19 vaccine tweets were compared by country in terms of (1) the number per million Twitter users, (2) mentions of adverse events-death, side-effects, blood clots, (3) negative sentiment (vs. positive), and (4) fear, sadness, or anger emotions (vs. joy). Artificial intelligence (AI) was adopted to classify sentiment and emotions. Such tweets and covariates (COVID-19 morbidity and mortality rates, GDP, population size and density, literacy rate, democracy index, institutional quality, human development index) were tested as predictors of vaccination rates in countries. : Over 21.3 million COVID-19 vaccine tweets posted between November 2020 and August 2021 worldwide were included in our analysis. The global average of COVID-19 vaccine tweets mentioning adverse events was 2% for 'death', 1.15% for 'side-effects', and 0.80% for 'blood clots'. Negative sentiment appeared 1.90 times more frequently than positive sentiment. Fear, anger, or sadness appeared 0.70 times less frequently than joy. The mention of 'side-effects' and fear/sadness/anger emotions appeared as significant predictors of vaccination rates, along with the human development index. : Our findings indicate that global efforts to combat misinformation, address negative emotions, and promote positive languages surrounding COVID-19 vaccination on social media may help increase global vaccination uptakes.

摘要

尽管疫苗的准备和供应水平很高,但许多国家的新冠疫苗接种率仍然很低。公众对疫苗的误解、犹豫和负面情绪是阻碍接种疫苗的心理因素。在个体层面,研究揭示了在充斥着错误信息和疫苗恐惧的社交媒体上接触新冠信息会产生负面的认知/行为结果。本研究将研究背景扩展到全球层面,调查了关于新冠疫苗的社交媒体话语及其与世界上192个国家疫苗接种率的关联。通过以下方面对各国的新冠疫苗推文进行比较:(1)每百万推特用户的推文数量;(2)提及不良事件——死亡、副作用、血栓;(3)负面情绪(与正面情绪相比);(4)恐惧、悲伤或愤怒情绪(与喜悦情绪相比)。采用人工智能对情绪进行分类。将此类推文和协变量(新冠发病率和死亡率、国内生产总值、人口规模和密度、识字率、民主指数、制度质量、人类发展指数)作为各国疫苗接种率的预测指标进行测试。我们的分析纳入了2020年11月至2021年8月期间全球发布的超过2130万条新冠疫苗推文。提及不良事件的全球平均比例为:“死亡”占2%,“副作用”占1.15%,“血栓”占0.80%。负面情绪出现的频率比正面情绪高1.90倍。恐惧、愤怒或悲伤出现的频率比喜悦低0.70倍。“副作用”的提及以及恐惧/悲伤/愤怒情绪与人类发展指数一样,是疫苗接种率的显著预测指标。我们的研究结果表明,全球为打击错误信息、处理负面情绪以及在社交媒体上推广围绕新冠疫苗接种的积极话语所做的努力,可能有助于提高全球疫苗接种率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfbc/9146864/c59d725676c9/vaccines-10-00735-g0A1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验