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"CELLU-LIT": : a pragmatic study of Body Positive Language on Instagram
Stockholm University, Faculty of Humanities, Department of English.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In this paper, two female-led Instagram accounts within the Body Positivity movement

were analyzed to see what type of linguistic strategies are employed in order to build

solidarity with their followers, as well as establish and maintain a shared group identity.

The analysis was carried out by utilizing Appraisal Theory as taxonomized by Martin

and White (2005) and aspects of Politeness Theory, as taxonomized by Brown and

Levinson (1987). The paper found that the two Instagram users linguistically employed

several aspects of both theories in order to build and maintain a group identity within a

common-identity community. In terms of Politeness Theory the positive politeness

strategies were more common than the negative politeness strategies, specifically were

the positive politeness strategies employed to build common ground and the strategy of

presupposition manipulations the most prevalent. Within the Appraisal theoretical

framework, the most common strategies by the Instagram users were the disclaim:deny

and the proclaim:pronounce strategies.

Place, publisher, year, edition, pages
2019. , p. 30
Keywords [en]
Body Positivity, Self-identity, Group identity, Solidarity, Evaluative Language, Appraisal Theory, Politeness Theory, Pragmatics
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:su:diva-178510OAI: oai:DiVA.org:su-178510DiVA, id: diva2:1390162
Supervisors
Examiners
Available from: 2020-02-09 Created: 2020-01-31 Last updated: 2020-02-09Bibliographically approved

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General Language Studies and Linguistics

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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