Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models. - Daniel Röchert; German Neubaum; Stefan Stieglitz (MISDOOM, 2020)

The homogeneity of right-wing populist and radical content in YouTube recommendations. - Daniel Röchert; Muriel Weitzel; Björn Ross (SMSociety, 2020)

The Networked Context of COVID-19 Misinformation: Informational Homogeneity on YouTube at the Beginning of the Pandemic. - Daniel Röchert; Gautam Kishore Shahi; German Neubaum; Björn Ross; Stefan Stieglitz (Online Soc. Networks Media, 2021)

Caught in a networked collusion? Homogeneity in conspiracy-related discussion networks on YouTube. - Daniel Röchert; German Neubaum; Björn Ross; Stefan Stieglitz (Inf. Syst., 2022)

Investigating Political and Informational Homogeneity in Social Media Using Computational Methods (Untersuchung der politischen und informationellen Homogenität in sozialen Medien mit Hilfe von computergestützten Methoden) - Daniel Röchert (2022)

Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networks. - Daniel Röchert; Manuel Cargnino; German Neubaum (J. Comput. Soc. Sci., 2022)