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Aspects of Discourse Stream Analysis
- Author(s):
- Dr Mark Perkins (see profile)
- Date:
- 2020
- Group(s):
- Linguistics
- Subject(s):
- Discourse analysis, Critical discourse analysis
- Item Type:
- Article
- Tag(s):
- big data, Corpus Linguistics and Discourse Analysis, Applied Corpus Linguistics
- Permanent URL:
- https://doi.org/10.17613/887w-3406
- Abstract:
- The huge proliferation of textual (and other data) in digital and organisational sources has led to new techniques of text analysis. The potential thereby unleashed may be underpinned by further theoretical developments to the theory of Discourse Stream Analysis (DSA) as presented here. These include the notion of change in the discourse stream in terms of discourse stream fronts, linguistic elements evolving in real time, and notions of time itself in terms of relative speed, subject orientation and perception. Big data has also given rise to fake news, the manipulation of messages on a large scale. Fake news is conveyed in fake discourse streams and has led to a new field of description and analysis.
- Metadata:
- xml
- Published as:
- Journal article Show details
- Pub. DOI:
- 10.31703/glr.2019(IV-II).01
- Publisher:
- Humanity Only - HO
- Pub. Date:
- 2020-2-8
- Journal:
- Global Language Review
- Volume:
- IV
- Issue:
- II
- Page Range:
- 1 - 6
- ISSN:
- 2663-3299,2663-3841
- Status:
- Published
- Last Updated:
- 1 year ago
- License:
- Attribution
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