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Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis
Sage Datasets
Swansea University Author:
Maria Pournara
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DOI (Published version): 10.4135/9781529603330
Abstract
This dataset demonstrates a thematic analysis approach to analysing newspaper articles from an online database. The data are provided by Dr Maria Pournara and are taken from a media analysis of a sample of 314 articles on organised crime published in UK national newspapers, which was part of her mul...
Published in: | Sage Datasets |
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ISBN: | 9781529603330 |
Published: |
1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom
SAGE Publications, Ltd.
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa61893 |
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2022-11-30T13:48:52.2531197 v2 61893 2022-11-12 Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis 2dbbdb83f033617cd588a975ac948905 0000-0001-9667-1826 Maria Pournara Maria Pournara true false 2022-11-12 CSSP This dataset demonstrates a thematic analysis approach to analysing newspaper articles from an online database. The data are provided by Dr Maria Pournara and are taken from a media analysis of a sample of 314 articles on organised crime published in UK national newspapers, which was part of her multimethod doctoral thesis. This approach deviates from the mainstream media content analysis method which studies media in a rather rigorous, systematic way and, instead, allows themes to be generated from the data inductively to form the themes that national newspapers use to portray organised crime. This exemplar will be most useful to qualitative researchers who are interested in rigorous coding and media thematic analysis. The dataset file is accompanied by a Teaching Guide and a Student Guide. Book Sage Datasets SAGE Publications, Ltd. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom 9781529603330 attitudes, crime, drugs, gangs, law enforcement, newspapers, publications, representation 1 3 2022 2022-03-01 10.4135/9781529603330 COLLEGE NANME Criminology, Sociology and Social Policy COLLEGE CODE CSSP Swansea University 2022-11-30T13:48:52.2531197 2022-11-12T09:23:49.4918966 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Maria Pournara 0000-0001-9667-1826 1 |
title |
Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis |
spellingShingle |
Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis Maria Pournara |
title_short |
Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis |
title_full |
Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis |
title_fullStr |
Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis |
title_full_unstemmed |
Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis |
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Analysing Newspaper Articles Online: Exploring Representations of Organised Crime Using Thematic Analysis |
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Maria Pournara |
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Maria Pournara |
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Sage Datasets |
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2022 |
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Swansea University |
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9781529603330 |
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10.4135/9781529603330 |
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SAGE Publications, Ltd. |
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description |
This dataset demonstrates a thematic analysis approach to analysing newspaper articles from an online database. The data are provided by Dr Maria Pournara and are taken from a media analysis of a sample of 314 articles on organised crime published in UK national newspapers, which was part of her multimethod doctoral thesis. This approach deviates from the mainstream media content analysis method which studies media in a rather rigorous, systematic way and, instead, allows themes to be generated from the data inductively to form the themes that national newspapers use to portray organised crime. This exemplar will be most useful to qualitative researchers who are interested in rigorous coding and media thematic analysis. The dataset file is accompanied by a Teaching Guide and a Student Guide. |
published_date |
2022-03-01T04:21:04Z |
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11.012678 |