Between 2008 and 2014, German politics experienced a shake-up by AfD’s move into the state parliaments. While many studies examine the party’s success factor in elections, only a few studies study the effect of the new party on parliamentary work. This thesis tests two hypotheses in this regard: First if the AfD set its primary focus on different policy areas than the other parties in the minor appellations and second if the entrance of the AfD leads to a higher polarization in a state parliament. We use the structural topic model to obtain topics for each appellation. To measure polarization, we rely on the expression of agreement and disagreement during a speech and a text classifier’s ability to distinguish between non-AfD and AfD speeches. As headline findings, we note that the AfD emphasizes policy areas in their appellations that provide the potential for populist statements such as extremism, migration, or law & order. Secondly, polarization generally increases with the party’s entrance into a state parliament, but the influence varies with the measurement chosen. More broadly, the results suggest that the STM and text classifiers’ metrics can be a reliable tool to draw inferences on significant research questions in social science.