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Nico Pfiffner is research and teaching assistant in the Media Use and Effects Division at the Department of Communication and Media Research (IKMZ), University of Zurich. Currently, he is working on the topic of data donation and is investigating how this approach can be best leveraged for studies in social and communication sciences. He studied communication science (major) and business administration (minor) at the University of Zurich on the bachelor’s and master’s level.
2020- | PhD Candidate in the Media Use and Effects Division at the Institute of Mass Communication and Media Research (IKMZ), University of Zurich |
2019- | Editorial Assistant of the European Journal of Health Communication https://ejhc.org |
2019- | Research and teaching assistant in the Media Use and Effects Division at the Institute of Mass Communication and Media Research (IKMZ), University of Zurich |
2018-2019 |
Student assistant in the Media Use and Effects Division at the Institute of Mass Communication and Media Research (IKMZ), University of Zurich |
2017-2019 |
Online Marketing & Analytics specialist at GRYPS Offertenportal AG |
2016-2019 |
Master of Arts UZH in Mass Communication and Media Research (major) and Business Administration (minor) at the University of Zurich |
2015 |
Internship in the media planning division at Swiss Radio and Television SRF |
2012-2015 |
Bachelor of Arts UZH in Mass Communication and Media Research (major) and Business Administration (minor) at the University of Zurich |
Media use and effects
Computational methods for social science
Social network analysis
Pfiffner, N. & Friemel, T. N. (in press). Leveraging Data Donations for Communication Research: Exploring Drivers Behind the Willingness to Donate. Communication Methods and Measures.
Blassnig, S., Mitova, E., Pfiffner, N., & Reiss, M. (2023). Googling Referendum Campaigns: Analyzing Online Search Patterns Regarding Swiss Direct-Democratic Votes. Media and Communication, 11(1), 19-30.https://doi.org/10.17645/mac.v11i1.6030
Pfiffner, N. (2021). Identifying patterns in communication science. In Segev, E. (Ed.), Semantic Network Analysis in Social Sciences (pp. 192–215). Routledge.https://doi.org/10.4324/9781003120100-10