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From Frequency to Sequence: How Quantitative Methods Can Inform Qualitative Analysis of Digital Media Discourse

  • This paper aims at showing how quantitative corpus linguistic analysis can inform qualitative analysis of digital media discourse with respect to the mediality of language in use. Using the example of protest discourse in Twitter, in the field of anti-Islamic ‘Pegida’ demonstrations, a three-step method of collecting, reducing and interpreting salient data is proposed. Each step is aligned with operative medial features of the microblog: hashtags, retweets and @-interactions. The exemplary analysis reveals the importance of discussions of attendance numbers in protest discourse and the asymmetry between administrative (i.e. the police) and non-administrative discourse agents. Furthermore, it exemplifies how frequency analysis and sequence analysis can be combined for research in media linguistics.

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Metadaten
Author:Mark Dang-Anh, Jan Oliver Rüdiger
URN:urn:nbn:de:0168-ssoar-52776-8
ISSN:2366-0562
Parent Title (English):10plus1: Living Linguistics
Publisher:Martin-Luther-Universität Halle-Wittenberg
Place of publication:Halle (Saale)
Document Type:Article
Language:English
Year of first Publication:2015
Date of Publication (online):2018/06/19
Publicationstate:Zweitveröffentlichung
Reviewstate:Peer-reviewed
GND Keyword:Diskursanalyse; Frequenzanalyse; Korpus <Linguistik>; Neue Medien; Twitter <Softwareplattform>
Volume:1
Pagenumber:18
First Page:57
Last Page:73
Dewey Decimal Classification:400 Sprache / 430 Deutsch
BDSL-Classification:Sprache im 20. Jahrhundert. Gegenwartssprache
Linguistics-Classification:Medienlinguistik
Open Access?:Ja
Licence (German):Digital Peer Publishing Lizenz (v3, de)