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            Posthumanism and Deconstructing Arguments

            Corpora and Digitally-driven Critical Analysis

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            Author(s)
            O'Halloran, Kieran
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            Posthumanism and Deconstructing Arguments: Corpora and Digitally-driven Critical Analysis presents a new and practical approach in Critical Discourse Studies. Providing a data-driven and ethically-based method for the examination of arguments in the public sphere, this ground-breaking book: Highlights how the reader can evaluate arguments from points of view other than their own; Demonstrates how digital tools can be used to generate ‘ethical subjectivities’ from large numbers of dissenting voices on the world-wide-web; Draws on ideas from posthumanist philosophy as well as from Jacques Derrida, Gilles Deleuze and Félix Guattari for theorising these subjectivities; Showcases a critical deconstructive approach, using different corpus linguistic programs such as AntConc, WMatrix and Sketchengine. Posthumanism and Deconstructing Arguments is essential reading for lecturers and researchers with an interest in critical discourse studies, critical thinking, corpus linguistics and digital humanities.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/199808
            Keywords
            CDA; corpora; corpus discourse analysis; corpus linguistics; critical discourse analysis; critical thinking; Derrida; discourse analysis; Kieran O'Halloran; posthumanism; thema EDItEUR::C Language and Linguistics::CB Language: reference and general; thema EDItEUR::C Language and Linguistics::CF Linguistics
            DOI
            10.4324/9781315622705
            ISBN
            9781317223818, 9781032179179, 9780415708838, 9780415708777, 9781315622705
            Publisher
            Taylor & Francis
            Publisher website
            http://www.taylorandfrancis.com/
            Publication date and place
            2017
            Imprint
            Routledge
            Pages
            354
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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