TL;DR
This paper introduces DebateNet2.0, a large-scale, high-quality dataset of German newspaper reports on the 2015 European refugee crisis, and demonstrates its use in discourse network analysis to understand political debates.
Contribution
It provides a new dataset and methodology for analyzing policy debates in newspapers, including tools and case studies on the European refugee crisis.
Findings
Multiple discourse networks depend on the specific topic and time span.
DebateNet2.0 enables detailed analysis of political claims and actors.
The methodology bridges newspaper reports and discourse network analysis.
Abstract
Newspaper reports provide a rich source of information on the unfolding of public debate on specific policy fields that can serve as basis for inquiry in political science. Such debates are often triggered by critical events, which attract public attention and incite the reactions of political actors: crisis sparks the debate. However, due to the challenges of reliable annotation and modeling, few large-scale datasets with high-quality annotation are available. This paper introduces DebateNet2.0, which traces the political discourse on the European refugee crisis in the German quality newspaper taz during the year 2015. The core units of our annotation are political claims (requests for specific actions to be taken within the policy field) and the actors who make them (politicians, parties, etc.). The contribution of this paper is twofold. First, we document and release DebateNet2.0…
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