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 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., 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. 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