Computer-Assisted Content Analysis of Twitter Data

Abstract: Content analysis provides a useful and multifaceted, methodological framework for Twitter analysis. CAQDAS tools support the structuring of textual data by enabling categorising and coding. Depending on the research objective, it may be appropriate to choose a mixed-methods approach that combines quantitative and qualitative elements of analysis and plays out their respective advantages to the greatest possible extent while minimising their shortcomings. In this chapter, we will discuss CAQDAS speech act analysis of tweets as an example of software-assisted content analysis. We start with some elementary thoughts on the challenges of the collection and evaluation of Twitter data before we give a brief description of the potentials and limitations of using the software QDA Miner (as one typical example for possible analysis programmes). Our focus will lie on analytical features that can be particularly helpful in speech act analysis of tweets

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource, 97-108 S.
• Language: Englisch
• Notes: Postprint ; begutachtet ; In: Weller, Katrin (Hg.), Bruns, Axel (Hg.), Burgess, Jean (Hg.), Mahrt, Merja (Hg.), Puschmann, Cornelius (Hg.): Twitter and Society. 2014. S. 97-108. ISBN 978-1-4539-1170-9

References and Relationships

• Bibliographic citation: Twitter and Society ; Bd. 89 ; Digital Formations ; Bd. 89

Contributors, Places and Time

• Event: Veröffentlichung
• (where): New York
• (who): P. Lang
• (when): 2014
• Contributor: Weller, Katrin ; Bruns, Axel ; Burgess, Jean ; Mahrt, Merja ; Puschmann, Cornelius

Further information

• URN: urn:nbn:de:0168-ssoar-54492-0
• Rights: Open Access; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:57 AM CEST