Johannes Wolfgram

Researcher at the University of Potsdam, working on advancing data collection methods for social science research at PSMM. Previously, visiting scholar at EFBI.

My research focuses on applications of machine learning in social science, LLM-driven data classification, and bot-based studies of political content exposure on social media platforms.

I've also built notate, a free tool for qualitative video and text analysis, and flow, a node-based editor for data pipelines.

Feel free to connect on GitHub or drop me a line at wolfgram[at]uni-potsdam.de.

Recent publications

Barth, S., Beyer, K., Bobzien, L., Degeling, M., Donner, C., Fuchs, M., … Wolfgram, J. (2025). TikTok Accounts BTW 2025. OSF.

Philipp, A., Bobzien, L., Weißmann, S., Verwiebe, R., Wolfgram, J., Tjaden, J., & Kohler, U. (2025). Politische Akteure auf Social Media (PolSocial-Datensatz). OSF.

Tjaden, J., Wolgram, J., Philipp, A., Weissmann, S., Bobzien, L., Kohler, U., Verwiebe, R. (2024). Automated election audits - Analyzing Exposure to Political Content on Social Media with a Case Study of TikTok in Germany's 2024 Regional Elections. OSF Preprints.

Wolfgram, J., Tjaden, J., Philipp, A., Weißmann, S., Kohler, U., Bobzien, L., Verwiebe, R. (2024). TikTok Regional Election Monitor 2024: Methods Report. University of Potsdam, Potsdam Social Media Monitor.

Wolfgram, J., & Philipp, A. (2024). Die TikTok-Präsenz der Parteien im sächsischen Landtagswahlkampf. In Kiess, J. & Wetzel, G. (Hrsg.), EFBI Digital Report 2024-3. Leipzig: Else-Frenkel-Brunswik-Institut.

Conferences

Tjaden, J., Wolfgram, J. (2025). Exposure to Political Party Content among non-partisan users on TikTok - Evidence from a digital election audit. Paper accepted for presentation at the 1st Annual Interdisciplinary WZB Conference "The Future of Democracy?", Berlin, Germany, and at the Annual Meeting of the DVPW Working Group "Elections and Political Attitudes", Freie Universität Berlin, Germany.

Wolfgram, J., Tjaden, J., Verwiebe, R., Bobzien, L., Weißmann, S., Kohler, U., & Philipp, A. (2025). Measuring Algorithmic Content Distribution in Political Communication: Exposure Patterns on TikTok using Social Research Bots. Paper accepted for presentation at the RC33 Eleventh International Conference on Social Science Methodology, Naples, Italy (not presented).