Personalisation in mass media communication: British online news between public and private
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam [u.a.]
Benjamins
2014
|
| Schriftenreihe: | Pragmatics & beyond
New series ; volume 240 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XIV, 294 S. Ill., graph. Darst. |
| ISBN: | 9789027256454 |
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Datensatz im Suchindex
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|---|---|
| adam_text | Titel: Personalisation in mass media communication
Autor: Landert, Daniela
Jahr: 2014
Table of contents
List of tables ix
List of figures xi
Acknowledgements xiii
CHAPTER 1
Introduction i
CHAPTER 2
Personalisation in mass media 9
2.1 Mass media communication between impersonality
and personalisation n
2.2 Personalisation and linguistic immediacy 18
2.3 Public, private, involving, and immediate 23
2.4 Modelling personalisation 31
chapter 3
Data collection 37
3.1 Working with online data 37
3.2 Characteristics of the online news sites 40
3.3 Overview of collected data sets 42
3.3.1 The online data 42
3.3.2 The Times from 1985 48
3.4 Technical aspects 49
3.4.1 Zotero snapshots 50
3.4.2 Screenshots 51
3.4.3 Inconsistencies between formats 51
3.4.4 XML format 52
3.5 A comment on statistics 55
vi Personalisation in Mass Media Communication
CHAPTER 4
Feedback and interaction 59
4.1 Audience interaction in mass media communication 61
4.1.1 Modelling audience interaction 61
4.1.2 Interaction on online news sites-a brief history 65
4.2 Forms of feedback and interaction 67
4.2.1 Indirect feedback 67
4.2.2 User comments 69
4.2.3 Opinion polls 75
4.2.4 Contact details and profiles 77
4.2.5 Audience content 79
4.3 Strategies for integrating user-generated content 83
4.3.1 Separation: The Times Online and the Guardian 85
4.3.2 Integration: BBC News 87
4.3.3 Blurring: The Mail Online and the Sun 89
4.4 Summary and conclusion 91
chapter 5
Visual elements 93
5.1 Overview of visual elements in news articles 94
5.2 Images and personalisation 97
5.2.1 Functional relations between visual and textual elements 99
5.2.2 The content of visual elements 105
5.2.3 Interactive functions of images: How the content is depicted 108
5.3 Case study: Visual elements in reports on the Edlington hearing 114
5.4 Summary and conclusion 124
chapter 6
News actors 125
6.1 Official, private, and celebrity actors 126
6.2 Main topics and actors in top-listed news articles 131
6.2.1 Topic categories in news articles 132
6.2.2 Actor constellations in different topic categories 134
6.2.3 Topic categories across news sites 136
6.3 Representing the actors 139
6.4 Case study revisited: Personalising content in reports
on the Edlington hearing 144
6.5 Summary and conclusion 158
Table of contents vn
CHAPTER 7
Direct speech 161
7.1 Forms of speech representation 163
7.1.1 Leech and Shorts classification 164
7.1.2 Faithfulness claims 166
7.1.3 Modifications to Leech and Short s classification 170
7.2 Functions of direct speech 174
7.3 Frequency of direct speech 180
7.3.1 Quantifying direct speech 180
7.3.2 Direct speech across subcorpora 183
7.4 Source types 186
7.4.1 Categorisation of source types 187
7.4.2 Named, identified and anonymous sources 192
7.4.3 Private and official sources 194
7.5 Summary and conclusion 197
chapter 8
Personal pronouns 199
8.1 Reference of first and second person pronouns 200
8.2 First and second person pronouns as features
of immediacy and involvement 207
8.3 Frequency of first and second person pronouns 210
8.3.1 Identification of first and second person pronouns 210
8.3.2 First and second person pronouns across subcorpora 213
8.4 First and second person pronouns within direct speech
in news articles 215
8.5 First and second person pronouns outside
of direct speech in news articles 233
8.6 First person singular pronouns across different types of articles 237
8.7 Summary and conclusion 242
chapter 9
Conclusion 245
References 257
Appendix A. List of articles 271
Appendix B. Statistical tests 281
Author index 291
Subject index 293
It seems to be a truism that today s news media present the news in a more
personal and direct way than print newspapers some twenty-five years ago.
However, it is far from obvious, how this can be described linguistically.
This study develops a model that integrates and differentiates between the
various facets of personalisation from a linguistic point of view. It includes
1)
contexts that involve the audience by inviting direct interaction and
through the use of visual elements;
2)
the focus on private individuals who
are personally affected by news events; and
3)
the use of communicative
immediacy, for instance in the form of direct speech and first and
second person pronouns. This model is applied to data from five British
online news sites, demonstrating how individual features contribute to
personalisation, how different features interact, and what personalisation
strategies are used by news sites of different market orientations.
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| title | Personalisation in mass media communication British online news between public and private |
| title_auth | Personalisation in mass media communication British online news between public and private |
| title_exact_search | Personalisation in mass media communication British online news between public and private |
| title_full | Personalisation in mass media communication British online news between public and private Daniela Landert |
| title_fullStr | Personalisation in mass media communication British online news between public and private Daniela Landert |
| title_full_unstemmed | Personalisation in mass media communication British online news between public and private Daniela Landert |
| title_short | Personalisation in mass media communication |
| title_sort | personalisation in mass media communication british online news between public and private |
| title_sub | British online news between public and private |
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