#Scamdemic, #Plandemic, or #Scaredemic: What Parler Social Media Platform Tells Us about COVID-19 Vaccine.
#Scamdemic, #Plandemic, or #Scaredemic: What Parler Social Media Platform Tells Us about COVID-19 Vaccine.
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DOI：
10.3390/vaccines9050421
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发表时间：
2021-04-22
期刊：
影响因子：
7.8
通讯作者：
Abwao M
中科院分区：
文献类型：
--
作者：
Baines A;Ittefaq M;Abwao M
这项研究旨在了解Parler上关于COVID-19疫苗的公众讨论，Parler是一个最近流行的新社交媒体平台。通过分析使用#COVID 19疫苗和#NoCovidVaccine标签的Parler帖子的随机样本（n = 400），我们使用回声室的概念通过文本分析方法来理解用户的讨论。主题分析揭示了五个关键主题：拒绝COVID-19疫苗的原因（40%），COVID-19疫苗的副作用（28%），通过COVID-19疫苗控制人口（23%），儿童未经父母同意接种疫苗（5%），以及其他健康问题与COVID-19的比较（2%）。文本分析显示，语料库中使用频率最高的词是：nocovidvaccine（348）; vaccine（264）; covid（184）; covid 19（157）; vaccines（128）。这些发现表明，用户采用不同的术语和标签来表达他们对COVID-19疫苗的看法。此外，调查结果显示，用户使用某些标签，如“回声”，以鼓励志同道合的人加强他们对COVID-19疫苗有效性和疫苗接受度的现有信念。这些发现对公共卫生传播有影响，试图纠正社交媒体平台上的错误叙述。通过广泛分享COVID-19疫苗相关研究的科学发现，可以帮助个人准确了解COVID-19疫苗的功效。
This study aims to understand public discussions regarding COVID-19 vaccine on Parler, a newer social media platform that recently gained in popularity. Through analyzing a random sample (n = 400) of Parler posts using the hashtags #COVID19Vaccine and #NoCovidVaccine, we use the concept of echo chambers to understand users’ discussions through a text analytics approach. Thematic analysis reveals five key themes: reasons to refuse the COVID-19 vaccine (40%), side effects of the COVID-19 vaccine (28%), population control through the COVID-19 vaccine (23%), children getting vaccinated without parental consent (5%), and comparison of other health issues with COVID-19 (2%). Textual analysis shows that the most frequently used words in the corpus were: nocovidvaccine (348); vaccine (264); covid (184); covid19 (157); and vaccines (128). These findings suggest that users adopted different terms and hashtags to express their beliefs regarding the COVID-19 vaccine. Further, findings revealed that users used certain hashtags such as “echo” to encourage like-minded people to reinforce their existing beliefs on COVID-19 vaccine efficacy and vaccine acceptance. These findings have implications for public health communication in attempts to correct false narratives on social media platforms. Through widely sharing the scientific findings of COVID-19 vaccine-related studies can help individuals understand the COVID-19 vaccines efficacy accurately.
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影响因子：
3.8
作者：
Ahmadian, Shamsa;Khaghanizadeh, Morteza;Ebadi, Abbas
通讯作者：
Ebadi, Abbas
影响因子：
3.8
作者：
Al Khaja, Khalid A. J.;AlKhaja, Alwaleed K.;Sequeira, Reginald P.
通讯作者：
Sequeira, Reginald P.
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3.7
作者：
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通讯作者：
Quattrociocchi W
影响因子：
3.2
作者：
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通讯作者：
Ulshoefer, Corina
影响因子：
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作者：
Bonnevie, Erika;Gallegos-Jeffrey, Allison;Smyser, Joseph
通讯作者：
Smyser, Joseph