Team – Katrin Weller

Katrin Weller

Katrin Weller

Teamleiterin

 katrin.weller@cais.nrw

Katrin Weller (team leader Research Data & Methods)

Dr. Katrin Weller is co-lead (together with Dr. Johannes Breuer) of the CAIS Unit Research Data & Methods (RDM). They develop and implement concepts for supporting CAIS researchers in handling different types of data and methods along the various phases oft he research lifecycle.

Katrin‘s research is focused on challenges of using digital behavioral data (especially from social media) as a new type of research data. Besides working at CAIS, she is head of the team „Digital Society Observatory“ at the Computational Social Science department, GESIS – Leibniz Institute for the Social Sciences.

Curriculum Vitae
  • Since 2015 she is leading the team Digital Society Observatory (formerly Social Analytics and Services) in the department Computational Social Science at GESIS – Leibniz Institute fort he Social Sciences.
  • In 2015 she was a Digital Studies Fellow at the John W. Kluge Center, Library of Congress, Washington DC.
  • From 2013-2015 she worked as postdoc at the Data Archive for the Social Science at GESIS – Leibniz Institute fort he Social Sciences.
  • In 2010 she finished her PhD (Dr. phil.) in information science.
  • From 2005-2012 she worked at the Department of Information Science, Heinrich Heine University Düsseldorf.
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, 85(S1), 399–422, doi: http://dx.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: http://dx.doi.org/10.3389/fdata.2020.509954.
  • Zagovora, O., Weller, K., Janosov, M., Wagner, C., & Peters, I. (2018). What increases (social) media attention: Research impact, author prominence or title attractiveness?. In Proceedings of the 23rd International Conference on Science and Technology Indicators, doi: http://dx.doi.org/10.31235/osf.io/mwxye. urn: http://hdl.handle.net/1887/65362.
  • Kinder-Kurlanda, K.E., Weller, K., Zenk-Möltgen, W., Pfeffer, J., & Morstatter, F. (2017). Archiving Information from Geotagged Tweets to Promote Reproducibility and Comparability in Social Media Research. Big Data & Society, 4(2): 1-14. doi: http://dx.doi.org/10.1177/2053951717736336.
  • Weller, K., &, Kinder-Kurlanda, K.E. (2017). To Share or Not to Share?: Ethical Challenges in Sharing Social Media-based Research Data. In: Internet Research Ethics for the Social Age, edited by Michael Zimmer, and Katharina E. Kinder-Kurlanda, 115-129. New York u.a.: Peter Lang.
  • Samoilenko, A., Lemmerich, F., Weller, K., Zens, M., & Strohmaier, M. (2017). Analysing Timelines of National Histories across Wikipedia Editions: a Comparative Computational Approach. In Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017), Montréal, Québec, Canada, May 15-18, 2017, 210-219. Ann Arbor, MI: AAAI Press. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15618.
  • Weller, K., & Kinder-Kurlanda, K.E. (2016). A manifesto for data sharing in social media research. In Proceedings of the 8th ACM Conference on Web Science (WebSci ’16), 166-172. New York: ACM. doi: http://dx.doi.org/10.1145/2908131.2908172. http://dl.acm.org/citation.cfm?doid=2908131.2908172.
  • Weller, K. & Bruns, A. (2016). Twitter as a first draft of the present: and the challenges of preserving it for the future. In WebSci’ 16: Proceedings of the 8th International ACM Web Science Conference, 183-189. New York: ACM. doi: http://dx.doi.org/10.1145/2908131.2908174. http://www.ssoar.info/ssoar/handle/document/46886.
  • Weller, K., Bruns, A., Burgess, J., Mahrt, M., & Puschmann, C., (Ed.) (2014). Twitter and society. Digital Formations 89. New York u.a.: Peter Lang.