21 research outputs found
CooRTweet: A Generalized R Software for Coordinated Network Detection
No full textThis paper introduces CooRTweet, an innovative R package designed for detecting and analyzing coordinated behavior. CooRTweet’s distinctiveness lies in its essential architecture, derived from a minimal definition of coordinated behavior that captures its core elements in an abstract way. This approach makes it possible for the tool to be applied to the widest range of cases, from mono-modal network analysis on a single social media platform, to multi-modal and cross-platform network analysis, and to any types of objects shared by a network, whether singular identical objects (e.g., the same tweet), similar objects (e.g., clusters of similar images), or complex objects (e.g., a combination of hashtags, images, and emojis). Additionally, it offers a comprehensive view of coordinated activities that include both explicit coordination and organic forms of content sharing. The comprehensive architecture of CooRTweet provides flexibility and a broad scope for analyzing coordinated activities across various digital landscapes. This positions it as a distinctive resource for researchers investigating coordinated communication online. More generally, CooRTweet provides a valuable example to methodologists and research tool developers of how software tools for research can be developed in a generalized and thus flexible way. This is particularly important for social media research, given how quickly new APIs are being released, modified, and even shut down. This paper aims to provide an introduction to CooRTweet and the analysis of coordinated behavior, demonstrating the software’s application through a case study of cross-platform coordinated behavior during the 2021 German elections
CooRTweet: A Generalized R Software for Coordinated Network Detection
No full textThis paper introduces CooRTweet, an innovative R package designed for detecting and analyzing coordinated behavior. CooRTweet's distinctiveness lies in its essential architecture, derived from a minimal definition of coordinated behavior that captures its core elements in an abstract way. This approach makes it possible for the tool to be applied to the widest range of cases, from mono-modal network analysis on a single social media platform, to multi-modal and cross-platform network analysis, and to any types of objects shared by a network, whether singular identical objects (e.g., the same tweet), similar objects (e.g., clusters of similar images), or complex objects (e.g., a combination of hashtags, images, and emojis). Additionally, it offers a comprehensive view of coordinated activities that include both explicit coordination and organic forms of content sharing. The comprehensive architecture of CooRTweet provides flexibility and a broad scope for analyzing coordinated activities across various digital landscapes. This positions it as a distinctive resource for researchers investigating coordinated communication online. More generally, CooRTweet provides a valuable example to methodologists and research tool developers of how software tools for research can be developed in a generalized and thus flexible way. This is particularly important for social media research, given how quickly new APIs are being released, modified, and even shut down. This paper aims to provide an introduction to CooRTweet and the analysis of coordinated behavior, demonstrating the software's application through a case study of cross-platform coordinated behavior during the 2021 German elections
Quantifying historical semantics : a methodological test field developed using the example of the concept of "Darkness"
No full textDer vorliegende Beitrag möchte quantifizierende Ansätze als Ausgangspunkt für historisch-semantische Fragestellungen diskutieren und schließlich stärken. Ausgehend von einer Bestandsaufnahme semantischer Studien der letzten Jahre wird zunächst eine an Hermann Paul orientierte theoretische Grundposition formuliert, die den Rahmen des Beitrags bildet. Im Anschluss an eine methodische Diskussion der sog. quantitativen Semantik als Teil der digitalen Literaturwissenschaft erfolgt die Ausschärfung des Ansatzes einer ›quantifizierenden historischen Semantik‹. Dieser Ansatz wird am Beispiel des durch unterschiedliche Lexeme repräsentierten historischen Konzeptes ›Dunkelheit‹ über sechs Perspektivierungen (lexematisch, sprachlich, textuell, kontextuell, textsortenspezifisch, kulturhistorisch) exemplarisch entfaltet. Dabei kommen sowohl digitale als auch manuelle Verfahren für korpusbasierte Abfragen, Systematisierung der Daten und Visualisierungen der Ergebnisse zum Einsatz. In einem Fazit wird der Nutzen quantifizierender Verfahren für eine interferenzperspektivierte Semantik resümiert
Replication Materials: What makes it into the media?
No full textReplication Materials for Manuscript: *What makes it into the media? Party messages, communication channels and media outlets
Reproducible package for the article "Rethinking Scaling up Content Analysis: A Reappraisal of Justifications and Practices for Large-Scale Content Analysis"
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Tools of the Trade – When Are Software Tools Mentioned in Computational Text Analysis Research?
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