Personalisation in Mass Media Communication: British online news between public and private

Author:   Daniela Landert (University of Zurich)
Publisher:   John Benjamins Publishing Co
Volume:   240
ISBN:  

9789027256454


Pages:   294
Publication Date:   04 February 2014
Format:   Hardback
Availability:   In stock   Availability explained
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Personalisation in Mass Media Communication: British online news between public and private


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Overview

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.

Full Product Details

Author:   Daniela Landert (University of Zurich)
Publisher:   John Benjamins Publishing Co
Imprint:   John Benjamins Publishing Co
Volume:   240
Weight:   0.695kg
ISBN:  

9789027256454


ISBN 10:   9027256454
Pages:   294
Publication Date:   04 February 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. List of tables; 2. List of figures; 3. Acknowledgements; 4. 1. Introduction; 5. 2. Personalisation in mass media; 6. 3. Data collection; 7. 4. Feedback and interaction; 8. 5. Visual elements; 9. 6. News actors; 10. 7. Direct speech; 11. 8. Personal pronouns; 12. 9. Conclusion; 13. References; 14. Appendix A: List of articles; 15. Appendix B: Statistical tests; 16. Author index; 17. Subject index

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