NUR FARAHANEE, AB RAZAK (2020) THE LANGUAGE OF ADVERTISING: A STUDY OF MALAYSIAN WOMEN FASHION DIGITAL ADVERTISEMENTS IN ENGLISH ON INSTAGRAM. [Final Year Project Report] (Unpublished)
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Abstract
This research aims to analyse the linguistic features used in Malaysian women fashion digital advertisements in English on Instagram. A total of 150 digital advertisements from three different Instagram pages; The Duck Group, Lilit Woman and Poplook were selected to analyse the female language characteristics and lexical linguistic features of advertisements with reference to the Feminist Stylistics (1998) framework by Sara Mills and the Grey Advertisement Linguistic Features (2008) framework by Grey. Results demonstrated five female language characteristics found in above digital advertisements with clause is indirect characteristic having the highest number. As for lexical linguistic features, there are nine out of ten features found in the digital advertisements with simple vocabulary being the highest. The analysis provides knowledge to academics and industry in analysing and creating digital advertisements while create awareness and better understanding of language of advertising for consumers especially female shoppers.
| Item Type: | Final Year Project Report |
|---|---|
| Additional Information: | Project Report (B.Sc.) -- Universiti Malaysia Sarawak, 2020. |
| Uncontrolled Keywords: | This research aims to analyse the linguistic features used in Malaysian women fashion digital advertisements in English on Instagram. A total of 150 digital advertisements from three different Instagram pages; The Duck Group, Lilit Woman and Poplook were selected to analyse the female language characteristics and lexical linguistic features of advertisements with reference to the Feminist Stylistics (1998) framework by Sara Mills and the Grey Advertisement Linguistic Features (2008) framework by Grey. Results demonstrated five female language characteristics found in above digital advertisements with clause is indirect characteristic having the highest number. As for lexical linguistic features, there are nine out of ten features found in the digital advertisements with simple vocabulary being the highest. The analysis provides knowledge to academics and industry in analysing and creating digital advertisements while create awareness and better understanding of language of advertising for consumers especially female shoppers. |
| Subjects: | P Language and Literature > PN Literature (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Language Studies & Communication Studies Faculties, Institutes, Centres > Faculty of Language Studies & Communication Studies |
| Depositing User: | Dan |
| Date Deposited: | 10 Mar 2021 03:54 |
| Last Modified: | 10 Mar 2021 03:54 |
| URI: | http://ir.unimas.my/id/eprint/34761 |
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