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By: Anne O'Keeffe (Author) , Benjamin Cowan (Author) , Christopher Fitzgerald (Author) , Dawn Knight (Author) , Fiona Farr (Author) , Geraldine Mark (Author) , Justin McNamara (Author) , Sandrine Peraldi (Author) , Svenja Adolphs (Author) , Tania Fahey Palma (Author)
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Corpus Linguistics for Virtual Workplace Discourse provides a thorough and practical step-by-step guide to constructing and analysing a multi-modal corpus of virtual meetings. It draws from original data from video recordings of virtual meetings with a variety of participant profiles from various industries, alongside examples of images and transcriptions from this data to illustrate key points.
This cutting-edge volume contextualises the field through previous corpus studies of interaction in a workplace context, as well as a description of various technology mediated interactions, culminating in video-mediated interaction, before outlining the cross-section of these two areas in describing the characteristics of virtual meetings. An overview of multi-modal corpus analysis provides examples and analysis of virtual meetings from a multi-modal perspective, demonstrating what is unique about virtual workplace discourse. The text concludes by presenting how multi-modal corpus analysis can aid understanding and delivery of virtual meetings through suggestions regarding meeting management. At various stages throughout the book, readers will engage with tasks that promote critical thinking at each phase of background research and data analysis. This will ensure that practical learning outcomes are achieved as well as broad insights gained into multi-modal corpus analysis of virtual meetings.
This timely, prescient text is essential reading to students and researchers in corpus linguistics and any applied linguistics scholar interested in workplace communication, as well as valuable reading for any students or scholars in business communication.
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