Doctoral Projects

How do data-based algorithmic systems affect people who are particularly vulnerable — and what forms of injustice can arise as a result? From a legal philosophy perspective, this dissertation examines how government AI applications in areas such as education, social welfare, asylum, and law enforcement can create individual disadvantages. The focus is on bias typologies, (…)

According to the 2018 LEO study, 6.2 million German-speaking adults in Germany have significant problems with reading and writing. The 2023 PIAAC study also reveals deficits in everyday mathematical competences. Those affected can attend literacy and numeracy courses at adult education centers. But in 2021 there were only around 13,400 enrollments in such courses. Supporting (…)

How is the digital platform society changing our perception of climate change — and who is shaping public knowledge about it today? This dissertation examines how visual communication practices, new groups of actors, and the use of generative AI are transforming climate communication on TikTok, Instagram, and YouTube. It shows how visibility, authority, and trust (…)

Grounded in the theoretical premise of platform power, reflected in the ability of platforms to structure user behavior and shape communication dynamics through content governance, this dissertation examines how platform designs and governance strategies mediate the visibility and diversity of climate change discussions.

Time and temporality are social constructs reflecting the ideological and practical circumstances of society. They are intertwined with other social processes, such as the sociotechnical emergence of automated communication. While automated communication technologies are in a mutually transformative relation with time and temporality, the social construction of time and temporality around emerging communicative AI is (…)

This doctoral project aims to examine how people with a history of migration living in Germany consume news content, particularly migration-related content, and to what extent the known patterns of news avoidance can be identified in their consumption behavior. The focus on migration-related news stems from the realization that many news avoiders feel that the (…)

How do visions of the future shape social change — and how do they affect collective identities in times of multiple crises? This dissertation examines competing visions for a time after a possible societal collapse and analyzes how different actors — from social movements to state institutions — use future scenarios to create orientation, capacity (…)

This doctoral project investigates how interpretable machine learning can advance communication science — from the transparent identification of protest-related news and the recognition of AI-generated images to the analysis of political TikTok communication in the 2024 European election campaign. Machine learning is increasingly being used in communication studies, especially for tasks that previously could only (…)