Die überschätzte Gefahr? Twitter-Bots im Europawahlkampf 2019

Pfaffenberger, Fabian; Heinrich, Philipp

doi:10.1007/978-3-658-31472-9_4

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Since these parties are often making extensive use of social media in their communication strategies (Schaub and Morisi 2019;Grill 2016) and their electorate commonly uses the internet as their primary source of information (Maggini 2014: 57), research focussing on these parties can hardly be conducted without reference to internet-based data. Thus, the importance of social media platforms for campaigning communication is growing steadily and the interest in analysing this kind of data is obvious (Bentivegna and Marchetti 2014;Barberà et al 2019;Marchal et al 2019;Valentini 2019;Haußner and Klika 2019;Pfaffenberger and Heinrich 2020;Haßler et al 2019a, b). Nevertheless, the analysis of party websites also remains highly relevant when investigating the online communication of political actors (Rußmann 2016: 56).…”

Section: Case Study: European Parliament Elections 2019mentioning

confidence: 99%

Using web archives for an explorative study of the web presence of German parties during the European election 2019

et al. 2023

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In the digital age, political science is faced with a shift of election campaigns and political discourse to digital or virtual arenas. Because the internet is a highly volatile medium and online content can become inaccessible after the campaign season, new challenges for research arise as well as the need for the preservation of online content. Moreover, the sheer volume of data researchers have to deal with has reached levels where traditional methods are being highly challenged. This paper puts forth a web harvesting workflow with a strong focus on granular extraction of unstructured information (publication dates) for automated analysis. As our approach is methodological, we would like to point out the benefits that researches in political science may draw from adapting our methodology. We demonstrate this by analysing an event-based web crawl of German parties participating in the election campaign for the European Parliamentary Election in 2019. We employ distant reading methods to generate topic models, which are subsequently evaluated by hermeneutic analysis of a subset of the data.

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