Michael Reiss

Dr. Michael Reiss is a Research Fellow and Postdoc at the Leibniz Institute for Media Research | Hans Bredow Institute (HBI) since November 2023. He leads the BMBF-funded research project 'Generative Artificial Intelligence for Information Navigation,' investigating the societal implications of generative AI in political information contexts. His work is part of Research Program 1 on the 'Transformation of Public Communication.'

Education:

• Bachelor's in Sociology and Economics, University of Heidelberg
• Master's in Socio-Ecological Economics and Policy (Vienna University of Economics and Business)
• Master's in Social Research Methods (London School of Economics and Political Science)
• Cumulative Dissertation (University of Zurich, Faculty of Arts): 'News Must Die for News to Live' (2023)

His research focuses on political communication, news consumption patterns, computational social science methodologies (e.g., large language models), and the societal impact of digital media. Recent projects explore generative AI's role in information navigation and public opinion formation.

Grants & Projects:

• Leading the BMBF-funded 'Generative AI for Information Navigation' project
• Contributions to the HBI's Research Program 1

Labs/Teams: Embedded within the Hans Bredow Institute's interdisciplinary research environment.