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, Carl DiSalvo, and Betsy DiSalvo. 2021. Towards a Community-Defined Framework for Responsible Digital Piecework Requests. Accepted position paper in The Global Labours of AI and Data Intensive Systems workshop at CSCW 2021. PDF.
- Britney Johnson, Ben Rydal Shapiro, Betsy DiSalvo, Annabel Rothschild, and Carl DiSalvo. 2021. Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ‘21). Association for Computing Machinery, New York, NY, USA, Article 706, 1–15. DOI. PDF.