Spotify Playlist Reordering Website; Official Authority and Private Interests: The TikTok Ban in the United States

Author:
Wang, Leo, School of Engineering and Applied Science, University of Virginia
Advisors:
Praphamontripong, Upsorn, University of Virginia
Norton, Peter, EN-Engineering and Society, University of Virginia
Abstract:

How can the recommender system influence the United States society?
How can the Spotify playlist sequence better respond to user behavior? Spotify, a streaming music service with over 200 million monthly active users, does not rearrange users’ playlists according to their needs. Multiple approaches to rearranging users’ playlists were applied to existing music datasets. A website that embeds with Spotify authentication system was built as the frontend host of all the playlist arrangement approaches.
In 2020, the Trump administration, ByteDance, and TikTok user communities competed to influence TikTok’s legitimacy as a social media platform in the U.S. In 2020 TikTok was one of the most influential mobile apps. It attracted millions of users and developed its own markets, and its Chinese-owned background only drew more attention to it. The divisive TikTok ban in the U.S. reveals competing groups’ struggle to define the use and misuse of social media.

Degree:
BS (Bachelor of Science)
Keywords:
machine learning, website, recommender, Spotify, TikTok
Notes:

School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Upsorn Praphamontripong
STS Advisor: Peter Norton
Technical Team Members: Issac Li, Yifan Wang

Language:
English
Rights:
All rights reserved (no additional license for public reuse)
Issued Date:
2021/05/10