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Permanent URI for this collectionhttps://www.weizenbaum-library.de/handle/id/974

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Start date: 2017End date: 2019Subject: search.filters.subject.deliberation

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    Four Parameters for Measuring Democratic Deliberation: Theoretical and Methodological Challenges and How to Respond
    (2018) Fleuß, Dannica; Helbig, Karoline; Schaal, Gary S.
    Although measuring democratic deliberation is necessary for a valid measurement of the performance of democracies, it poses serious theoretical and methodological challenges. The most serious problem in the context of research on democratic performance is the need for a theoretical and methodological approach for “upscaling” the measurement of deliberation from the micro and meso level to the macro level. The systemic approach offers a useful framework for this purpose. Building on this framework, this article offers a modular approach consisting of four parameters for conceptualization, measurement, and aggregation which can be adjusted to make the measurement of democratic deliberation compatible with the various general measurement approaches adopted by different scholars.
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    Visibility Through Information Sharing: The Role of Tweet Authors and Communication Styles in Retweeting Political Information on Twitter
    (2019) Engelmann, Ines; Kloss, Andrea; Neuberger, Christoph; Brockmann, Tobias
    If a speaker’s political message on Twitter is retweeted, both the speaker and the message become visible to a wider network of Twitter users, making the tweet actor more prominent on the Twittersphere or beyond. This study analyzes the effects of different types of tweet authors (such as politicians, journalists, economic actors, members of nonprofit interest groups, and citizens) and the communication styles of political information (affect and rationality) on the number of retweets. The potential effects of these factors are hypothesized based on the heuristic-systematic model but are also discussed in the normative context of public sphere theories. A content analysis of 4,403 tweets shows that the author types, communication styles, and their interactions affect the number of retweets. The theoretical and normative implications of these results are discussed.