Proceedings of the 2018 International Conference on Social Science and Education Reform (ICSSER 2018)

Analysis of Political Language Based on Appraisal Theory: The Mutual Construction of Language and Power—Taking Xi Jinping and Donald Trump’s Speeches at World Economic Forum as Examples

Authors
Siyou Zhang, Zhongwen Pei
Corresponding Author
Siyou Zhang
Available Online October 2018.
DOI
https://doi.org/10.2991/icsser-18.2018.23How to use a DOI?
Keywords
Appraisal theory; World Economic Forum; Attitude; Engagement; Graduation
Abstract
Davos Forum, also known as World Economic Forum, is a non-official international organization aiming at discussing problems in world economy and promoting international economic cooperation and communication. Based on James R. Martin’s Appraisal Theory, this paper attempts to make a contrastive analysis between Xi Jinping’s and Donald Trump’s speeches at World Economic Forum in 2017 and 2018 respectively. The purpose is to explore how they convey ideology in their speeches, how they make use of language resources to coordinate emotions, judgments and appreciation, as well as how they engage and graduate semantic contents, thereby exploring the mutual construction of language and power.
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Proceedings
2018 International Conference on Social Science and Education Reform (ICSSER 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2018
ISBN
978-94-6252-600-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/icsser-18.2018.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Siyou Zhang
AU  - Zhongwen Pei
PY  - 2018/10
DA  - 2018/10
TI  - Analysis of Political Language Based on Appraisal Theory: The Mutual Construction of Language and Power—Taking Xi Jinping and Donald Trump’s Speeches at World Economic Forum as Examples
BT  - 2018 International Conference on Social Science and Education Reform (ICSSER 2018)
PB  - Atlantis Press
SP  - 98
EP  - 101
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsser-18.2018.23
DO  - https://doi.org/10.2991/icsser-18.2018.23
ID  - Zhang2018/10
ER  -