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A friend of mine once told me that coding is like doing magic, and frankly, I am inclined to agree. With a keyboard, a development environment, and a little bit of language skill, you can build an entire world. Despite being heavily rooted in logic, math, and science, there is

A friend of mine once told me that coding is like doing magic, and frankly, I am inclined to agree. With a keyboard, a development environment, and a little bit of language skill, you can build an entire world. Despite being heavily rooted in logic, math, and science, there is a certain mystery to it, a sense of illusion and wizardry. The sense of pride and power that comes from successfully finishing an app, program, or website is like no other. I recently watched the film Ex Machina (Alex Garland, 2014) for the first time, and I was struck by one of the lines. In thinking about the success of his creation and what that means for the world, he says, “I’m not a man, I’m God.” And although I wouldn’t say that is exactly how I feel when I turn in a coding assignment, I understand the sentiment. This thesis is going to be a bit different than the one I thought I was going to write. When I started this, I thought it would be about an amazing coding project I had completed. I would write about all the beautiful code and the nitty gritty of the technical aspects. But, the project that I intended to create is not the project I ended up with, and I couldn’t be happier. I finished with something a lot more meaningful, a lot more interdisciplinary, and a lot more me. In this essay and the accompanying coding project, I aim to take you on the journey of building my own piece of digital culture, an app titled “Exposed.” I begin by discussing how the motivation to create Exposed came from the desire to stop using an app made by an internet celebrity and how the values of Gen Z and their relationship with technology influenced and guided the creation of the app. Then I examine the relationship between code and the coder, and how external factors such as being a woman in technology impacts project development. Then I explain the results of the coding process and outline how Exposed turned out. Finally, I consider the meaning of digital culture and how it functions in the creation of Exposed. Along the way this project became extremely personal. I found that the deeper I dove into making the code work, the more I learned about myself and my relationship to technology. If I promise to be honest with you, will you promise to listen to what I have to say?

ContributorsRimsza, Melissa (Author) / Olson, Loren (Thesis director) / Moran, Stacey (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor) / Arts, Media and Engineering Sch T (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor)
Created2023-05
ContributorsRimsza, Melissa (Author) / Olson, Loren (Thesis director) / Moran, Stacey (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor) / Arts, Media and Engineering Sch T (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor)
Created2023-05
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Description
Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library,

Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library, he/she would have to hand pick songs that fit the mold and create a new playlist. This is a time consuming process that may not produce the most efficient result due to human error. The objective of this project, therefore, was to develop an application to streamline this process, optimize efficiency, and fill this user need.

Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
ContributorsDiMuro, Louis (Author) / Balasooriya, Janaka (Thesis director) / Chen, Yinong (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
ContributorsRimsza, Melissa (Author) / Olson, Loren (Thesis director) / Moran, Stacey (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor) / Arts, Media and Engineering Sch T (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor)
Created2023-05