A cognitive linguistic analysis of force dynamics in trump's speeches

Other Title(s)

A cognitive linguistic analysis of force dynamics in trump's speeches

Parallel Title

A cognitive linguistic analysis of force dynamics in trump's speeches

Author

Atif, Abd Allah

Source

Journal of Literary Studies and Humanities

Issue

Vol. 25, Issue 3 (30 Jun. 2021), pp.328-358, 31 p.

Publisher

Kafrelsheikh University Faculty of Arts

Publication Date

2021-06-30

Country of Publication

Egypt

No. of Pages

31

Main Subjects

Literature

Topics

Abstract EN

The focal point of paper attempts to investigate the impact of Force dynamics in Trump's speeches from a cognitive linguistic perspective.

The researcher, from a cognitive linguistic perspective, relies upon Talmy's Theory of force dynamics in Trump's Speeches.

Such theory is based upon two major facets: steady Steady-State Force-Dynamics and Shifting Force-Dynamics where there is conflict between agonist and antagonist to prevail and to be salient and stronger and to carry out his/her agenda.

The researcher concludes that Trump has cognitively managed to prove that he is a powerful president that is characterized with determination, willingness, force, insistence, persistence.

Thus, he is a highly qualified president in the Americans' eyes.

American Psychological Association (APA)

Atif, Abd Allah. 2021. A cognitive linguistic analysis of force dynamics in trump's speeches. Journal of Literary Studies and Humanities،Vol. 25, no. 3, pp.328-358.
https://search.emarefa.net/detail/BIM-1437794

Modern Language Association (MLA)

Atif, Abd Allah. A cognitive linguistic analysis of force dynamics in trump's speeches. Journal of Literary Studies and Humanities Vol. 25, no. 3 (Jun. 2021), pp.328-358.
https://search.emarefa.net/detail/BIM-1437794

American Medical Association (AMA)

Atif, Abd Allah. A cognitive linguistic analysis of force dynamics in trump's speeches. Journal of Literary Studies and Humanities. 2021. Vol. 25, no. 3, pp.328-358.
https://search.emarefa.net/detail/BIM-1437794

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1437794