selected publications and talks

Wiedemann, G., Münch, F. V., Rau, J. P., Kessling, P., & Schmidt, J.-H. (2023). Concept and challenges of a social media observatory as a DIY research infrastructure. Publizistik. 

Kessling, P., Münch, F. V., & Wiedemann, G. (2023). Gelöschte Tweets im Bundestagswahlkampf 2021. In M. Fuchs & M. Motzkau (Eds.), Digitale Wahlkämpfe: Politische Kommunikation im Bundestagswahlkampf 2021 (pp. 163–183). Springer Fachmedien. 

Münch, F. V., & Kessling, P. (2022). Ukraine_twitter_data. OSF.

Makhortykh, M., Urman, A., Münch, F. V., Heldt, A., Dreyer, S., & Kettemann, M. C. (2022). Not all who are bots are evil: A cross-platform analysis of automated agent governance. New Media & Society, 24(4), 964–981.

Münch, F. V., Thies, B., Puschmann, C., & Bruns, A. (2021). Walking Through Twitter: Sampling a Language-Based Follow Network of Influential Twitter Accounts. Social Media + Society.

Münch, F. V., & Rossi, L. (2020a). Bootstrapping Follow Networks of Influential Twitter Accounts. IC2S2.

Münch, F. V., & Rossi, L. (2020b). A Tale of Two Twitters? Identifiying Bridges Between Language Based Twitterspherees. AoIR Selected Papers of Internet Research.

Münch, F. V., & Thies, B. (2020). RADICES (RAnk Degree Influencer CorE Sampler) – An Efficient Sampler for Influential Twitter Follow Networks [Online Presentation]. ICA 2020.

Münch, F. V., Thies, B., Puschmann, C., & Bruns, A. (2019). Walking Through Twitter: Sampling a Language-Based Follow Network. Below the Radar: Private Groups, Locked Platforms and Ephemeral Content. AoIR Flashpoint Symposium.

Münch, F. V., & Thies, B. (2019). RADICES – Rank Degree Influencer Core Sampler.

Münch, F. V. (2019). Measuring the Networked Public – Exploring Network Science Methods for Large Scale Online Media Studies [PhD thesis, Queensland University of Technology].

Bruns, A., Moon, B., Münch, F. V., & Sadkowsky, T. (2017). The Australian Twittersphere in 2016: Mapping the follower/followee network. Social Media + Society, 3(4).

Bruns, A., Moon, B., Paul, A., & Münch, F. V. (2016). Towards a typology of hashtag publics: A large-scale comparative study of user engagement across trending topics. Communication Research and Practice, 2(1), 20–46.

Münch, F. V. (2012). Nachrichtenwerte auf sozialen Onlinenetzwerken [Master’s Thesis, LMU Munich, Germany].