Annabel Rothschild

Please note, in the event of citation, that there is a silent “S” in my last name (Roth[s]child).

2025

  • Annabel Rothschild. 2025. “Developing Pro-Social AI Training Datasets Through Data Workers’ Critical Perspectives” in GROUP 2025 Doctoral Consortium. Preprint.
  • Lara Schenck, Dana Priest, Gabe Dubose, Zajerria Godfrey, Annabel Rothschild, Ben Rydal Shapiro, and Betsy DiSalvo. 2025. “A Window into Data Apprenticeship: Developing an Integrated Work-Training Curriculum for Novice Adults”. In SIGCSE TS 2025 (ACM Special Interest Group on Computer Science Education).

2024

  • Annabel Rothschild, Carl DiSalvo, and Betsy DiSalvo. 2024. “Re-Introducing the Human in AI Labor Terminology with Data Workers’ Vernacular Terms” in The Work of AI: Mapping Human Labor in the AI Pipeline workshop at CSCW 2024. PDF.
  • Grace Kim, Annabel Rothschild, Carl DiSalvo, and Betsy DiSalvo. 2024. “What’s Your Stake in Sustainability of AI?: An Informed Insider’s Guide”. AIES (Conference on Artificial Intelligence, Ethics, and Society). Preprint.
  • Annabel Rothschild, Ding Wang, Niveditha Jayakumar, Lauren Wilcox, Carl DiSalvo and Betsy DiSalvo. 2024. “The Problems with Proxies: Making Data Work Visible through Requester Practices”. AIES (Conference on Artificial Intelligence, Ethics, and Society). Preprint.
  • Ashley Boone, Annabel Rothschild, Xander Koo, Grace Pfohl, Alyssa Sheehan, Betsy DiSalvo, Christopher Le Dantec, and Carl DiSalvo. 2024. “Reimagining Meaningful Data Work through Citizen Science”. Proc. ACM Hum.-Comput. Interact. January 2024.
  • Carl DiSalvo, Annabel Rothschild, Lara L. Schenck, Ben Shapiro, and Betsy DiSalvo. 2024. “When Workers Want to Say No: A View into Critical Consciousness and Workplace Democracy in Data Work”. Proc. ACM Hum.-Comput. Interact. 8, CSCW1, Article 156 (April 2024), 23
    pages. DOI (points to open access PDF).
  • Annabel Rothschild & Janne Lindqvist. 2024. “Swapping 5G for 3G: Motivations, Experiences, and Implications of Contemporary Dumbphone Adoption”. Proc. ACM Hum.-Comput. Interact. 8, CSCW1, Article 125 (April 2024), 40 pages. DOI (points to open access PDF).

2022

  • Shapiro, B. R., Meng, A., Rothschild, A., Gilliam, S., Garrett, C., DiSalvo, C., & DiSalvo, B. (2022). “Bettering Data”: The Role of Everyday Language and Visualization in Critical Novice Data Work. Educational Technology & Society, 25 (4). PDF.
  • Annabel Rothschild, Amanda Meng, Carl DiSalvo, Britney Johnson, Ben Rydal Shapiro, and Betsy DiSalvo. 2022. ”Interrogating Data Work as a Community of Practice”. Proceedings of the ACM on Human-Computer Interaction 6, Article 307 (November 2022) (2022), 29. DOI. PDF
  • Annabel Rothschild, Justin Booker, Christa Davoll, Jessica Hill, Venise Ivey, Carl DiSalvo, Benjamin Rydal Shapiro, and Betsy DiSalvo. 2022. ”Towards fair and pro-social employment of digital pieceworkers for sourcing machine learning training data”. In alt.chi ’2022: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, April 30 – May 6, 2022, New Orleans, Louisiana. ACM, New York, NY, USA, 12 pages. Project page (with PDF link).
  • Annabel Rothschild, Carl DiSalvo, Amanda Wooten, and Betsy DiSalvo. 2022. ”Understanding civic and non-profit data through a custom data lifecycle”. Accepted position paper in Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data workshop at CHI 2022. PDF.

2021

2019

  • Annabel Rothschild, Emma Lurie, and Eni Mustafaraj. 2019. ”How the Interplay of Google and Wikipedia Affects Perceptions of Online News Sources”. In Proceedings of the Computation + Journalism Symposium (C+J ‘19). ACM, New York, NY, USA, Article 4, 5 pages. DOI. PDF.

2018

  • Local Data Design Lab. “The Atlanta Map Room: Documenting the Connections and Disjunctions between Civic Data and Lived Experiences in the City.” Atlanta Studies. December 04, 2018. https://doi.org/10.18737/atls20181204.