Global Crises and National Policies: A Large Scale Analysis of Political Content in German Language Online Media
Today most media content is consumed based on algorithmic recommendations. Evidence suggests that this can lead to politically biased media consumption patterns. Automated extraction of political agendas from texts can reveal and analyze political biases in online media -- and thus help fostering politically unbiased media consumption. Here we employ modern political text analysis methods demonstrating the potential of automated fine-grained political bias analysis in online media. We conduct an analysis of political content in German language online media during the period 2019--2022, encompassing several million articles and tweets covering events with profound societal impact globally ...
| Authors | Yara Döring, Felix Bießmann |
|---|---|
| Primary category | cs.IR |
| Published | 18 August 2026 |
| Last updated at source | 18 August 2026 |
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