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  1. Speaker intentions and intentionality.Michael Haugh & Kasia M. Jaszczolt - 2012 - In Keith Allan & Kasia Jaszczolt (eds.), Cambridge Handbook of Pragmatics. Cambridge University Press. pp. 87--112.
  2.  9
    Getting to know you: Teasing as an invitation to intimacy in initial interactions.Danielle Pillet-Shore & Michael Haugh - 2018 - Discourse Studies 20 (2):246-269.
    It is commonly assumed that teasing is restricted to encounters among intimates or close acquaintances. As a result of examining initial interactions among speakers of English, however, this article shows that teasing also occurs between persons who are becoming acquainted. Analysis reveals that tease sequences unfold across three actions that constitute the tease as an invitation to intimacy: a teasable action on the part of the target, the tease proper and a moment of interactionally generated affiliation. Given teasing is one (...)
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  3.  6
    Disentangling face, facework and im/ politeness: Desentrañando la imagen social, la actividad de imagen y la (des)cortesía.Michael Haugh - 2013 - Pragmática Sociocultural 1 (1):46-73.
    It is generally assumed in pragmatics that face is essentially a “socially attributed aspect of self”, and that politeness is one kind of facework, alongside other forms of facework such as impoliteness, mock impoliteness, mock politeness, self politeness and so on. In this paper, the assumed necessary link between face and im/politeness is questioned. Drawing from emic studies of face and im/politeness, it is argued that face and im/politeness should be studied, in the first instance, as distinct objects of study (...)
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    Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis.Sam Hames, Michael Haugh & Martin Schweinberger - 2021 - Big Data and Society 8 (1).
    Public discourse about the COVID-19 that appears on Twitter and other social media platforms provides useful insights into public concerns and responses to the pandemic. However, acknowledging that public discourse around COVID-19 is multi-faceted and evolves over time poses both analytical and ontological challenges. Studies that use text-mining approaches to analyse responses to major events commonly treat public discourse on social media as an undifferentiated whole, without systematically examining the extent to which that discourse consists of distinct sub-discourses or which (...)
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