Responsible DS + AI Speaker Series: Katrin Weller, GEISIS-Leibniz Institute for the Social Sciences
Katrin Weller, information scientist at GESIS - Leibniz Institute for the Social Sciences, Germany, will present "Acknowledging potential pitfalls in social media research – between researchers' practices and structured documentation approaches."
Katrin Weller is leading the Digital Society Observatory team as part of GESIS’ Computational Social Science department at the Leibniz Institute for the Social Sciences, Germany. From 2021-2023 she is also co-leading the Research Data & Methods unit at the Center for Advanced Internet Studies (CAIS). In her work she looks into how researchers across disciplines use data from Web and Social Media Platforms as new types of research data – and how this leads to new challenges along the research process.
Affiliations:
Team lead “Digital Society Observatory”, GESIS Leibniz Institute for the Social Sciences
Co-lead “Research Data and Methods” Unit, CAIS Center for Advanced Internet Studies
Selected publications:
- Sen, I., Flöck, F., Weller, K., Weiß, B., & Wagner, C. (2021). A Total Error Framework for Digital Traces of Human Behavior on Online Platforms. Public Opinion Quarterly. Volume 85, Issue S1, 2021, Pages 399–422, https://doi.org/10.1093/poq/nfab018
- Kinder-Kurlanda, K.E., & Weller, K. (2020). Perspective: Acknowledging Data Work in the Social Media Research Lifecycle. Frontiers in Big Data 3:509954. doi: 10.3389/fdata.2020.509954
- Weller, K., & Kinder-Kurlanda, K.E. (2015). Uncovering the Challenges in Collection, Sharing and Documentation: The Hidden Data of Social Media Research? In Standards and Practices in Large-Scale Social Media Research: Papers from the 2015 ICWSM Workshop. Proceedings Ninth International AAAI Conference on Web and Social Media Oxford University, May 26, 2015 – May 29, 2015, 28-37. Ann Arbor, MI: AAAI Press. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/viewFile/10657/10552.
Meeting ID: 841 1707 8086
Password: 621916
Questions? Contact Janet Eke
The Responsible Data Science and AI Speaker Series discusses topics such as explainability, reproducibility, biases, data curation and governance, and privacy. The series is co-organized by Associate Professor Jana Diesner and Assistant Professor Nigel Bosch at the iSchool at Illinois and hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS).
This event is sponsored by Center for Informatics Research in Science and Scholarship