I'm building SRBs and PSMM to level up data collection for the social sciences.
Currently, working at the University of Potsdam.
Visiting scholar at the Else Frenkel-Brunswik Institute (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.
Feel free to connect on GitHub or drop me a line at wolfgram[at]uni-potsdam.de.
Tjaden, J., Wolgram, J., Philipp, A., Weissmann, S., Bobzien, L., Kohler, U., Verviebe, 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. (2024). TikTok als Megaphon: Wie die AfD die Videoplattform dominiert.
Wolfgram, J., Tjaden, J., Philipp, A., Weißmann, S., Kohler, U., Bobzien, L., Verwiebe, R. (2024). TikTok Regional Election Monitor 2024: Methods Report. Release version 1.0. University of Potsdam: PSMM.
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.
Tagesschau, ZDF heute journal, Der Spiegel, Deutsche Welle, ORF, Politico, FAZ, Correctiv, SWR, RBB