First I executed various searches on Instagram to find posts of girls. I searched "girls" "girls friends" "girls shopping" "girl birthday party" etc. and I searched for common girl names such as Sophia and Abigail. I made sure only one or two people were in the picture, the accounts were public, and the comments were in English, and copied the links into Excel Mobile. I chose professional people, people with low(er) follower counts, and people I personally knew to get a good variety of data.
Next, found a tool that would let me bulk download the comments. It is called Apify and it allowed me to scrape the comments from Instagram. (It allows bulk import and for my limited dataset, it was free) It removed the duplicate links and did not access the private posts. After it did that it gave me 98 results. I filtered the options to only show comments and I downloaded the data as an XLS file. I did the same for two more random Instagram accounts to get a perfect 100 data points. (In a real study it would probably analyze thousands as data points but I can not scroll Instagram for 5hrs)
Unfortunately, there were blank cells so I imported it into an AI tool to remove the blanks and analyze the data. However, I could not find a way to chat with the data. Fortunately, it did remove the blanks. I imported that new data into Julius AI chat and asked it to tell me what percentage of the comments related to appearance, to make me a graph, and translated some of the non-English comments. After this Julius AI chat told me that 15.58% of the comments related to appearance. The tool analyzed 3126 comments and 487 mentioned appearance.
God Bless and Tech Talk To You Later!!!
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