Refine
Year of publication
- 2014 (4) (remove)
Document Type
- Part of a Book (4)
Has Fulltext
- yes (4)
Is part of the Bibliography
- no (4)
Keywords
- Mediatisierung (2)
- Politische Kommunikation (2)
- Arzt (1)
- CAQDAS (1)
- Datenerhebung (1)
- Demokratie (1)
- Diskursanalyse (1)
- Gesprochene Sprache (1)
- Kommunikationsforschung (1)
- Konversationsanalyse (1)
Publicationstate
- Postprint (4) (remove)
Reviewstate
- (Verlags)-Lektorat (4) (remove)
Publisher
- Benjamins (1)
- Palgrave Macmillan (1)
- Peter Lang (1)
- Springer (1)
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.
This paper analyses paramedic emergency interaction as multimodal multiactivity. Based on a corpus of video-recordings of emergency drills performed by professional paramedics during advanced training, the focus is on paramedics’ participation in multiple joint projects which become simultaneously relevant. Simultaneity and fast succession of multiactivity does not only characterise work on the team level, but also the work profile of the individual paramedic. Participants have to coordinate their own participation in more than one joint project intrapersonally. In the data studied, three patterns of allocating multimodal resources stood out as routine ways of coordinating participation in two simultaneous projects intrapersonally:
1. Talk and hearing vs. manual action monitored by gaze,
2. Talk and hearing vs. gazing (and pointing),
3. Manual action vs. gaze (and talk and hearing).