Jack Bandy's Publications

(See also my 🎓 Google Scholar profile, my 🟢 ORCID, or my 👤 ACM profile)

📄 Peer-Reviewed Academic Publications:

  • Bandy, J., & Lazovich, T. (2023). "Exposure to Marginally Abusive Content on Twitter." To appear in Proceedings of the 17th AAAI Conference on Web and Social Media, ICWSM 2023. [PDF Preprint via SSRN]
  • Bandy, J. (2022). "Inspecting Algorithmic Flows: Ethics, Transparency, and Accountability for Digital Mass Communication Platforms." AAAI/ACM Conference on AI, Ethics, and Society, Student Track. [Paper PDF] [ACM] [Slides] [Poster]
  • Bandy, J., and Diakopoulos, N. (2021). "Curating Quality? How Twitter’s Timeline Algorithm Treats Different Types of News." Social Media + Society. [SAGE Open Access]
  • Bandy, J., and Vincent, N. (2021). "Addressing 'Documentation Debt' in Machine Learning Research: A Retrospective Datasheet for BookCorpus." NeurIPS 2021 Datasets Track. [Blog Summary] [arXiv] [OpenReview]
  • Bandy, J. (2021). "Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits." Proceedings of the ACM on Human-Computer Interaction, CSCW 2021. [Blog Summary] [Paper PDF] [CSCW Slides] [ACM] [arXiv]
  • Bandy, J., and Diakopoulos, N. (2021). "More Accounts, Fewer Links: How Algorithmic Curation Impacts Media Exposure in Twitter Timelines." Proceedings of the ACM on Human-Computer Interaction, CSCW 2021. [Blog Summary] [Paper PDF] [CSCW Slides] [ACM]
  • Bandy, J., and Hecht, B. (2021). "Errors in Geotargeted Display Advertising: Good News for Local Journalism?" Proceedings of the ACM on Human-Computer Interaction, CSCW 2021. [Paper PDF] [CSCW Slides] [ACM]
  • Bandy, J., and Diakopoulos, N. (2020). "Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News." Proceedings of the AAAI Conference on Web and Social Media, ICWSM 2020. [Blog Summary] [Paper PDF] [ICWSM Slides] [Video] [The Guardian] [AAAI]

📝 Other Academic Writing:

  • Bandy, J., and Diakopoulos, N. (2022). "All the News That's Fit to Tweet: Sociotechnical Local News Distribution from the New York Times to Twitter." To appear in News Quality in the Digital Age (edited volume). [PDF Preprint via SSRN] [Dataset via Kaggle] [Book via Routledge]
  • Bandy, J., and Diakopoulos, N. (2020). "#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok." FAccTRec Workshop on Responsible Recommendation (at RecSys 2020). [Blog Summary] [Paper PDF] [RecSys Slides] [arXiv]
  • Hagar, N., Bandy, J., Trielli, D., Wang, Y., and Diakopoulos, N. (2020). "Defining Local News: A Computational Approach." Computation and Journalism Symposium. [Paper PDF]
  • Bandy, J. (2018). "Interactive Machine Learning for Word Spotting on Damaged Handwritten Documents." University of Kentucky Master's Thesis. [Paper PDF] [Slides]
Master's Thesis
"Interactive Machine Learning for Word Spotting on Damaged Handwritten Documents"
bandy-masters.pdf
4 MB
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📰 General Audience Articles:

  • Bandy, J. (2021). "Fixing to Die." Real Life Magazine. [Article]
  • Bandy, J. (2021). "Follow the science, Chicago, and abolish ShotSpotter." Chicago Tribune. [Article]
  • Bandy, J., and Diakopoulos, N. (2021). "Amping up algorithmic transparency to govern online platform power." The Hill. [Article]
  • Bandy, J. (2018) "Automation moderation: finding symbiosis with anti-human technology." AI Matters. [Article]