Sprache im 20. Jahrhundert. Gegenwartssprache
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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.
Mediatization and Mediality in Social Media: the Discourse System Twitter
The article contributes to the debate about mediatization and the use of language in social media. The theoretical approach evolves from the intersection of linguistics, media and communication studies. While the concept of mediatization describes relations between medial and sociocultural change and the ubiquity of media in everyday life, the concept of mediality sheds light on the inseparability of media and language. From this interdisciplinary perspective, specific practices of media and language use within the microblogging service Twitter were analyzed. Examples from different case studies reveal certain user practices that can be described as formed by ‘moulding forces’ of the medium Twitter without considering technology as determining or symptomatic. Our analysis shows that the use of specific semiotic and functional operators (#, @, RT, http://) establish user practices of creating personal and semantic references and thus constitute Twitter as a multi-referential discourse system.