Method Section

 Because I am focusing my project on seeing if there is a difference between reactors’ comment sections on YouTube, I had to start looking for a song choice and YouTube reactors. The song I chose is Driver’s License by Olivia Rodrigo. I chose this song because it is the most popular song of 2021. It was number one on the U.S. Billboard chart for eight weeks and number one on Billboard’s Global Excluding U.S. chart for nine weeks. Then I had to decide which reactor's comment section I wanted to analyze. For this project I decided to choose two different types of reactors. The first type of reactor I chose was just a general reactor. What I describe as a general reactor is just normal people listening to the song for the first time. To find the reactor that I chose, I went to YouTube, searched reaction videos to “Olivia Rodrigo Driver’s License reaction”, filtered the searches by most viewed video, and scrolled until I found the first general reactor. That is when I found the YouTube channel “Brother.” The second type of reactor that I wanted to compare the general reactor to was a reactor who was a poet. When I searched for reactors who were poets, I only found one channel. The channel that I found is called “Sher the Truth.” I went to each of their comment sections and filtered the comments so all of the top comments would be at the top of the section. I then copied the top twenty comments and pasted them in a Google Doc. To analyze these comments, I started out by looking to see if they had five components in them: correct capitalization, correct punctuation, correct spelling, full words/phrases, and use of emojis. I chose these five components because I think they are the bases of a well written sentence and/or paragraph. In the Doc, I went and highlighted every component I found in a different color. I then put all of my data into an excel sheet. After that, I included five more components that I would analyze. I found these components from an article called “Sifting useful comments from Flickr Commons and YouTube” by Elaheh Momeni, Bernhard Haslhofer, Ke Tao, and Geert-Jan Houben. The five components are: named entity types variety, the average length of sentences, topical conformity, subjectivity tone, and tone. I chose these five out of a list they had because they either required no program/equation or I could modify them to fit what I am trying to do. I analyzed data the same way I did for the previous data analysis.