Final update

Final Blog-May 6, 2022

Content

In terms of content, I learned that there is a lot of data that's possible and conceivable that could be accomplished to help in film analysis like there are dialogue algorithms in the academic discussion. However, this data is extremely difficult to obtain even for a college level class. I also figured out how to accurately define relationships within movies and compare them between characters. This should be used for a more comprehensive study of the MCU, perhaps looking at every character in every movie at some point. Researching each character in most of their movies made the characters come alive to me in a way that I couldn't really appreciate before looking in to each of them for such a prolonged period of time on this deep basis.

Product

I learned how to conduct research including the advisor communications form, the weekly updates, and how to make an effective presentation. The academic paper was a very enlightening experience as I had never wrote such a large paper before in my life. I continue to aspire to work on this skill since I still need to improve on my ability to elaborate. The POD was more or less what I had expected. Once again, I could really benefit from developing the skill of elaboration as my presentation was under the time limit by a lot and I accidentally cut out a bunch of essential information that would've made my presentation much clearer.

Process

I learned that procrastination is not a good practice but I used it on both the presentation and the paper, causing both of them to be less than their potential.

Abstract

In the complex, current social climate, many calls for more equal representation and diversity have been echoed throughout the film industry. This is why it's imperative for me to determine the effect of this diversity on a profitable movie franchise, but what better way then to analyze one of the most profitable film universes in history. Thus, I looked into the effect of forced racial and gender diversity on the MCU. I did this by quantifying as many possible data points that I could measure involving the writing of each individual character. I studied Tony Stark, Stephen Strange, Natasha Romanov, Carol Danvers, T'Challa, and Okoye. In the end, I looked at screen time which found that out Okoye was the only character that didn't appear is as much of the movies as the rest of the characters. I also looked at the specific character interactions and found minor trends, but nothing was enough for me to make an accurate conclusion on.

Acknowledgements

I'd like to thank Ms. Dobos for supporting my research project the whole way through, even when it wasn't looking promising at all.

I'd also like to thank Mr. McBride for helping to set up my research project so that I could do my project within the capable means of traditional film analysis.