Cultural Motifs on #bigdata - A Semi-Automated Topic Modeling from a Socio-Cultural Constructionist Perspective

Knorr, Charlotte ; Niekler, Andreas; Behret, Marius und Pentzold, Christian (2023): Cultural Motifs on #bigdata - A Semi-Automated Topic Modeling from a Socio-Cultural Constructionist Perspective. Digital Humanities Conference 2023 : Collaboration as Oppurtunity, Graz, Österreich, 10. - 14. Juli 2023. Baillot, Anne; Tasovac, Toma; Scholger, Walter und Vogeler, Georg (eds.) : In: Digital Humanities 2023: Book of Abstracts, Genf: CERN Europäische Organisation für Kernforschung. pp. 281-283

Abstract

In this study, we show a possible operationalization of the sociocultural framing concept by van Gorp (2010). Communication Research and Computational Humanities are exploring how the keyword #bigdata can be investigated via combined approaches of both framing analysis and topic modeling. A first study shows, how both methodological approaches complement each other profitably regarding the analysis of cultural motifs, which in turn allows to quantitatively capture such abstract and complex concepts in large data sets.

• Item Type: Conference or Workshop Item (Paper)
• Faculties: Social Sciences > Department of Communications and Media (IfKW)
• Subjects: 000 Computer science, information and general works > 070 News media, journalism and publishing
• Place of Publication: Genf
• Language: English