@article{IMAGE,
      recid = {14647},
      author = {Martinez, Sage},
      title = {Affective Mapping of Artificial Intelligence Discourse},
      address = {2025-01-29},
      number = {IMAGE},
      note = {This image was awarded an Honorable Mention in the  University of Chicago Library's 2024 Image of Research  Contest. The image was selected for its creativity,  description, aesthetic appeal, and connection to research.},
      abstract = {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.},
      url = {http://knowledge.uchicago.edu/record/14647},
      doi = {https://doi.org/10.6082/uchicago.14647},
}