house3.png

I study how to update methods used in computational social science (CSS) in order to address some of their 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 CSS is currently doing to navigate these challenges, and (2) how CSS can learn with and from artistic disciplines' methodological expertise  to navigate these challenges.

Angela Schöpke Gonzalez
PhD Student, University of Michigan School of Information

Recent Publications

Schöpke-Gonzalez, A.M., Atreja, S., Shin, H.N., Ahmed, N., Hemphill, L. (Under Review). Why do volunteer content moderators quit? Burnout, conflict, and harmful behaviors.

 

Schöpke-Gonzalez, A.M. and Shaub, F. (Under Review). Mobile Phones at Borders: Logics of Deterrence and Survival in the Mediterranean Sea and Sonoran Desert.

 

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