Online Archive of University of Virginia Scholarship
Social Media Recommendation Algorithms489 views
Author
Asthana, Raj, School of Engineering and Applied Science, University of Virginia
Advisors
Neeley, Kathryn, EN-Engineering and Society, University of Virginia
Vrugtman, Rosanne, EN-Comp Science Dept, University of Virginia
Abstract
Social media is becoming more popular and is a key source of information (including news) to billions of users worldwide. With how influential it has become, the algorithms that are at the center of social media platforms naturally have the potential to influence these users. When analyzing these algorithms, they have the potential to continuously recommend content of similar arguments and viewpoints. This leads to the formation of echo chambers on these platforms. The research paper in this project explores the landscape surrounding these algorithms and the many key actors and their relationships. The technical report is a proposal on how natural language processing could be used to improve these algorihtms.
Degree
BS (Bachelor of Science)
Keywords
social media; machine learning; algorithms
Language
English
Rights
All rights reserved (no additional license for public reuse)
Asthana, Raj. Social Media Recommendation Algorithms. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2023-12-17, https://doi.org/10.18130/x3y5-pj26.
