ANALYSIS OF HEALTH COMMUNICATION TEXTS UK PRESS COVERAGE OF DEBATES ABOUT ASSISTED DYING

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Auteur principal: Clive Seale
Format: Artículo científico
Langue:en
Publié: Universitat de València 2016
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author Clive Seale
author_facet Clive Seale
contents ANALYSIS OF HEALTH COMMUNICATION TEXTS UK PRESS COVERAGE OF DEBATES ABOUT ASSISTED DYING Clive Seale Comunicación Media texts text mining data analysis keyword analysis computer assisted analysis Conventionally, social researchers analyse media messages by reading text and coding it. This is time consuming and restricts many studies to small samples. Nowadays very large amounts of text are available in electronic form, offering potential insights into the health messages they contain, but which appear daunting to the analyst with limited resources using conventional methods. I explain and illustrate methods for the computer-assisted analysis of media texts, using specialised software (Wordsmith Tools and Wordstat). These allow the analyst to provide a statistical overview of the key features of texts, to compare them (looking at change over time, for example) and to select illustrative quotations that epitomise the trends identified. 2016 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511754471033 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.6
format Artículo científico
id redalyc_511754471033
institution Redalyc
language en
publishDate 2016
publisher Universitat de València
spellingShingle ANALYSIS OF HEALTH COMMUNICATION TEXTS UK PRESS COVERAGE OF DEBATES ABOUT ASSISTED DYING
Clive Seale
Comunicación
Media texts
text mining
data analysis
keyword analysis
computer assisted analysis
ANALYSIS OF HEALTH COMMUNICATION TEXTS UK PRESS COVERAGE OF DEBATES ABOUT ASSISTED DYING Clive Seale Comunicación Media texts text mining data analysis keyword analysis computer assisted analysis Conventionally, social researchers analyse media messages by reading text and coding it. This is time consuming and restricts many studies to small samples. Nowadays very large amounts of text are available in electronic form, offering potential insights into the health messages they contain, but which appear daunting to the analyst with limited resources using conventional methods. I explain and illustrate methods for the computer-assisted analysis of media texts, using specialised software (Wordsmith Tools and Wordstat). These allow the analyst to provide a statistical overview of the key features of texts, to compare them (looking at change over time, for example) and to select illustrative quotations that epitomise the trends identified. 2016 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511754471033 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.6
title ANALYSIS OF HEALTH COMMUNICATION TEXTS UK PRESS COVERAGE OF DEBATES ABOUT ASSISTED DYING
topic Comunicación
Media texts
text mining
data analysis
keyword analysis
computer assisted analysis
url https://www.redalyc.org/articulo.oa?id=511754471033