*Feel free to read my dissertation here . The datasets used in my dissertation Harvard Dataverse .
Selected Publications Díaz, M. , Kivlichan, I., Rosen, R., Baker, D., Amironesei, R., Prabhakaran, V., & Denton, E. (2022). Crowdworksheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation . In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022).Robertson, S., & Díaz, M. (2022). Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat . In 2022 ACM Conference on Fairness, Accountability, and Transparency (CHI 2022). Díaz, M. , Amironesei, R., Weidinger, L., & Gabriel, I. (2022, July). Accounting for Offensive Speech as a Practice of Resistance . In Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH) (pp. 192-202).Davani, A. M., Díaz, M. , & Prabhakaran, V. (2022). Dealing with Disagreements: Looking beyond The Majority Vote in Subjective Annotations . Transactions of the Association for Computational Linguistics , 10 , 92-110, (TACL 2022). Prabhakaran, V., Davani, A. M., & Díaz, M. (2021). On Releasing Annotator-Level Labels and Information in Datasets . Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop , pages 133–138 November, 2021. arXiv preprint arXiv:2110.05699 . Díaz, M. , Diakopoulos, N., (2019). Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience . Proceedings of ACM Conference on Computer Supported Cooperative Work (CSCW 2019).Díaz, M. , Johnson, I., Lazar, A.,Piper, A.M., Gergle, D. (2018). Addressing Age-Related Bias in Sentiment Analysis Algorithms. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2018). Best Paper Award Lazar, A., Díaz, M. , Brewer, R., Kim, C., and Piper, A.M. (2017). Going Gray, Failure to Hire, and the Ick Factor: Analyzing How Older Bloggers Talk about Ageism. Proceedings of ACM Conference on Computer Supported Cooperative Work (CSCW 2017). Best Paper Honorable Mention Award
Op-Eds & Other Articles Díaz, T., & Díaz, M. (2021). Making the Invisible Visible: Health, Data, and Race-Conscious Latinidad . Harvard Journal of Hispanic Policy , 33 , 42-46. Rose, C., Díaz, M. , & Díaz, T. (2022). Addressing Medicine’s Dark Matter . Interactive Journal of Medical Research , 11 (2), e37584.
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