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


  • 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.



  • 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.