I study how to update workflows and methods used in algorithm design, implementation, and application (ADIA) in order to address some of algorithms' documented ability to perpetrate social, political, and economic harms. My work has been funded by ArtsEngine, the Center for World Performance Studies, the International Institute, Rackham Graduate School, the School of Information, among other institutions.
My current projects are especially interested in (1) what ADIA professionals are currently doing to navigate these challenges, and (2) how ADIA professionals can learn with and from artistic disciplines' methodological expertise to navigate these challenges.
Angela Schöpke Gonzalez
PhD Candidate, University of Michigan School of Information
Recent Publications
Schöpke-Gonzalez, A. M., Wu, S., Kumar, S., Hemphill, L. (Under Review). Using Off-the-Shelf Harmful Content Detection Models: Best Practices for Model Reuse. CSCW.
Preprint available at https://doi.org/10.48550/arXiv.2309.15827.
Schöpke-Gonzalez, A. M., Atreja, S., Shin, H. N., Ahmed, N., & Hemphill, L. (2022). Why do volunteer content moderators quit? Burnout, conflict, and harmful behaviors. New Media & Society, 0(0). https://doi.org/10.1177/14614448221138529.
See press coverage of this project through mLive, Futurity, and UM News
Hemphill, L., Schöpke-Gonzalez, A.M., Panda, A. (2022). Comparative Sensitivity of Social Media Data and Their Acceptable Use in Research. Scientific Data 9: 643. https://doi.org/10.1038/s41597-022-01773-w.
Schöpke-Gonzalez, A.M. and Schaub, F. (2022). Mobile Phones at Borders: Logics of Deterrence and Survival in the Mediterranean Sea and Sonoran Desert. Information, Communication & Society.
https://doi.org/10.1080/1369118X.2022.2113818.
Full text available here.
Schöpke-Gonzalez, A.M., Thomer, A., and Conway, P. (2020). Identity Navigation During Refugee Experiences: Between Individual Agency and Systemic Architectures of Control. The International Journal of Information, Diversity and Inclusion 4(2). https://doi.org/10.33137/ijidi.v4i2.33151.
Hemphill, L., and Schöpke-Gonzalez, A. M. (2020). Two Computational Models for Analyzing Political Attention in Social Media. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 260-271. https://www.aaai.org/ojs/index.php/ICWSM/article/view/7297.
Hemphill, L., Russell, A. & Schöpke-Gonzalez, A. M. (2020). What Drives U.S. Congressional Members’ Policy Attention on Twitter? Policy & Internet. https://doi.org/10.1002/poi3.245