I thought that the employment of basic content analysis would benefit me the most when I consider my purpose for research. Basic content analysis is best for identifying themes and other parts of communication content as well as the identification of devices which yield such content (Drisko & Maschi 2015).Furthermore basic content analysis allows researchers the opportunity to differentiate groups based on verbal behavior (Drisko & Maschi 2015). The differentiation of groups based on verbal behavior is necessary for my research as I was trying to analyze the impact of the CDC announcement of Myocarditis as a side effect of the vaccine on vaccine resistance rhetoric within tweets. The two different groups employed to analyze the impact of the announcement, was one group of 53 tweets prior to the announcement, gathered from January 1st, 2021 to the day before the announcement, June 22nd, 2021. While the other data group consists of 55 tweets from June 23rd, 2021 to December 31st, 2021.
In order to collect tweets pertaining to my topic of interest I looked for the key words I looked at other research similar titled “Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set” and used the keywords used in this data to come up with the keywords “Covid Vaccine”, “Anti-Vax” and “Anti-Vaccine” (Chen, Lerman & Ferrara 2020).