LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade

Recent research utilized Large Language Models (LLMs) to analyze over 150 years of German parliamentary debates on migration. This analysis reveals a notable shift in discourse, moving from post-war solidarity towards anti-solidarity sentiment in the last decade. The study also validates the effectiveness of LLMs, specifically models like GPT-5, in providing scalable and accurate annotation for complex political discourse, affirming their utility for historical and contemporary data analysis.

This research provides a technological approach to understanding long-term shifts in political discourse, which can inform strategic planning and policy development. The proven capability of LLMs to analyze extensive historical data efficiently offers a new tool for monitoring evolving societal sentiments and their implications for governance and public opinion.

Analysis of German parliamentary debates on migration indicates a shift from post-war solidarity to anti-solidarity discourse over the last decade.

Forward consideration, not a verified fact.