Academic Career and Research Areas
Prof. Pfeffer’s research focuses on the analysis of large and dynamic socio-technical systems as well as the methodological, algorithmic and theoretical challenges that arise from these analyses. Pfeffer's research falls at the intersection of social and computer sciences. Current projects deal with the modeling and detection of negative dynamics in social media, such as online firestorms and hate against politically active women.
After ten years of professional experience in NGOs, consulting firms and non-university research institutions, Jürgen Pfeffer acquired a doctorate in business informatics at the University of Technology in 2010. He subsequently worked as a postdoctoral fellow at Carnegie Mellon University (USA) until he was appointed there as Assistant Research Professor in 2012. Since March 1, 2016, Prof. Jürgen Pfeffer has been serving as Professor of Computational Social Science & Big Data at the Bavarian School of Public Policy at TUM.
Key Publications (all publications)
Pfeffer J, Morstatter F, Mayer K (2018). Tampering with Twitter's Sample API. EPJ - Data Science 7(1): 50.Abstract
Ruths, D., Pfeffer, J. (2014). Social Media for Large Studies of Behavior. Science 346/6213: 1063-1064.Abstract
Pfeffer J, Zorbach T, Carley KM (2014). Understanding online firestorms: Negative word of mouth dynamics in social media networks. Journal of Marketing Communications, Volume 20, Issue 1-2, 117-128.Abstract
Morstatter F, Pfeffer J, Liu H, Carley KM (2013). Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose. International AAAI Conference on Weblogs and Social Media (ICWSM), pp. 400-408.Abstract
Hennig M, Brandes U, Pfeffer J, Mergel I (2012). Studying Social Networks. A Guide to Empirical Research. Frankfurt/Chicago: Campus Verlag/University of Chicago Press.Abstract