
Principle Investigators:
Prof. Dr. Thorsten Faas, Dr. Denis Gerstorf, Prof. Dr. Hanna Schwander, Prof. Dr. Jule Specht, Prof. Dr. Céline Teney
Associate researcher:
Dr. Bastian Becker, Luke Shuttleworth
Based on a large longitudinal panel survey that monitors feelings of in-group affinity and out-group aversion, the Berlin Polarization Monitor (BPM) is the key data infrastructure of the Einstein Research Unit ERU-CAP. By focusing on polarization trends across Germany, the BPM fills a critical gap in longitudinal data on affective polarization in multi-party democracies.
Research Questions and Objectives
The Berlin Polarization Monitor captures both the degree and dynamics of affective polarization asking questions such as:
Finding answers to these questions, the BPM facilitates the assessment of various dimensions of affective polarization, particularly in the context of emotionally charged issues – from long-standing debates (e.g. on climate change) to more current topics such as the German parliamentary elections or the war in the Ukraine.
In addition to providing valuable data for academic research, the monitor will regularly communicate its findings to the public, offering an evidence-based foundation for ongoing discussions about public opinion and polarization in Germany.
Specifically, the BPM will focus on three key goals:
Methodological Approach
The Berlin Polarization Monitor employs a unique methodology to examine affective polarization in Germany. Launched in January 2025, it features a large longitudinal panel survey that tracks polarization trends at both the individual and aggregate levels.
Designed to empirically measure in-group affinity, out-group aversion, and related emotions around political issues and political parties, the Monitor covers a wide range of contentious issues – both long-standing debates such as climate change and migration and emerging challenges driven by crises such as the Russian war in Ukraine, the increasing contestation of democracy, or the debt brake.
Our methodological approach ensures a highly robust and comparative dataset, allowing us to track social fragmentations, their psychological and sociological foundations, and their potential behavioral consequences. By conducting monthly assessments, the longitudinal structure enables us to analyze individual-level changes and cross-group differences, offering insights into the evolving nature of affective polarization, its ideological and emotional dimensions, and its potential behavioral consequences.
Research Streams