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- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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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.
A study and fanzine of fandom culture, as it pertains to Korean pop (also known as K-pop music), focusing primarily on fan interactions between idols (celebrities) and fans via online messaging platforms (such as Universe and Bubble) and how it shapes parasocial relationships, which lead to positives of connection and communication intimacy and negatives of safety and monetary concerns.
A study and fanzine of fandom culture, as it pertains to Korean pop (also known as K-pop music), focusing primarily on fan interactions between idols (celebrities) and fans via online messaging platforms (such as Universe and Bubble) and how it shapes parasocial relationships, which lead to positives of connection and communication intimacy and negatives of safety and monetary concerns.