Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

A Critical Discourse Analysis on English News Based on Corpus

Authors
Hu Huafang
Corresponding Author
Hu Huafang
Available Online October 2017.
DOI
https://doi.org/10.2991/meici-17.2017.21How to use a DOI?
Keywords
Critical Discourse Analysis; Corpus; News Discourse; Ideology
Abstract

The critical analysis of news discourse is an important concern of the critical discourse analysis, which is of theoretical and practical significance. With combination of discourse analysis and social context analysis, news discourse research based on corpus contains qualitative, interpretative summary and analysis, which shows the combination of quantitative and qualitative method, is used to solve the traditional CDA problems of lacking objectivity and validity. The corpus technology, including frequency, keywords, concordance, collocation, and cluster is a remedy to the drawbacks of the traditional critical analysis on news discourse.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
10.2991/meici-17.2017.21
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-17.2017.21How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hu Huafang
PY  - 2017/10
DA  - 2017/10
TI  - A Critical Discourse Analysis on English News Based on Corpus
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 95
EP  - 98
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.21
DO  - https://doi.org/10.2991/meici-17.2017.21
ID  - Huafang2017/10
ER  -