I'm building SRBs at the PSMM to level up data collection for the social sciences.
Currently, working at the University of Potsdam.
Previously, visiting scholar at EFBI.
In the past, I've enjoyed exploring ML applications in social science research, from LLM-driven classification to bot-based studies of political content exposure on social media.
Feel free to connect on GitHub or drop me a line at wolfgram[at]uni-potsdam.de.
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.
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.
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.
Tagesschau, ZDF, Der Spiegel, Deutsche Welle, ORF, Politico, FAZ, Correctiv, SWR, RBB, Süddeutsche Zeitung