Affective Mapping of Artificial Intelligence Discourse

This research focused on developing data visualization techniques for a Zotero-based tagging system, part of a multi-year research project, "The Aesthetics of Artificial Intelligence," led by Dr. Andre Uhl. The goal of my work stream was to develop prototype models of visual maps that contextualize tag categories based on thematic patterns in AI discourse, while incorporating psychology theories on emotion classification. With the help of research librarians, digital scholarship librarians, computer science specialists, and my peers, I was able to create multiple visualizations of the Zotero database's tagging system. This visualization is a tag and citation network generated using the note-taking application, Obsidian. AI was used for code generation in the process of creating this visualization.