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Computer-Assisted Content Analysis of Twitter Data
[collection article]
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... view more
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.... view less
Keywords
content analysis; twitter; method; data capture; computer-mediated communication
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
CAQDAS
Collection Title
Twitter and Society
Editor
Weller, Katrin; Bruns, Axel; Burgess, Jean; Mahrt, Merja; Puschmann, Cornelius
Document language
English
Publication Year
2014
Publisher
P. Lang
City
New York
Page/Pages
p. 97-108
Series
Digital Formations, 89
ISSN
1526-3169
ISBN
978-1-4539-1170-9
Status
Postprint; reviewed
Licence
Creative Commons - Attribution-NonCommercial-ShareAlike 3.0