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A Novel Theory of Support in Social Media Discourse

  • Received : 2020.05.13
  • Accepted : 2020.08.11
  • Published : 2020.08.31

Abstract

This paper aims to inform people how to support each other on social media. It alludes to an architecture for social media discourse and proposes a novel theory of support in social media discourse. It makes a methodological contribution. It combines predominately artificial intelligence with corpus linguistics analysis. It is on a large-scale dataset of anonymised diabetes-related user's posts from the Facebook platform. Log-likelihood and precision measures help with validation. A multi-method approach with Discourse Analysis helps in understanding any potential patterns. People living with Diabetes are found to employ sophisticated high-frequency patterns of device-enabled categories of purpose and content. It is with, for example, linguistic forms of Advice with stance-taking and targets such as Diabetes amongst other interactional ways. There can be uncertainty and variation of effect displayed when sharing information for support. The implications of the new theory aim at healthcare communicators, corpus linguists and with preliminary work for AI support-bots. These bots may be programmed to utilise the language patterns to support people who need them automatically.

Keywords

References

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Cited by

  1. 1 권 1 호의 연구 동향과 연구 방법에 관한 고찰 vol.1, pp.1, 2020, https://doi.org/10.22925/apjcr.2020.1.1.127