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AI-based understanding of online solidarity discourses for evidence-based policy making

For evidence-based policy-making and its adequate public communication, an understanding of social discourses as well as their temporal development and dependence on social and media events is necessary. Particularly in the case of dynamically developing political fields of action such as the corona pandemic, migration or climate policy, data from social media discourses offer opportunities to identify social trends, opinion patterns and behavioral intentions. The interdisciplinary project DiscourseData4Policy (DD4P) aims to use methods from AI and machine learning to make social online discourses on Twitter understandable and usable, in order to enable a better understanding of dynamic interactions between social events, political measures and their social acceptance. Against this background, the project continues to investigate the extent to which such discourse data can inform the political process and what effects this has on citizens' perceptions of politics.

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