Strategies of newsroom convergence: comparing UK and Chinese newspaper groups
Gu Yu 2016. Strategies of newsroom convergence: comparing UK and Chinese newspaper groups. PhD thesis University of Westminster Journalism and Mass Communication
Gu Yu 2016. Strategies of newsroom convergence: comparing UK and Chinese newspaper groups. PhD thesis University of Westminster Journalism and Mass Communication
Title | Strategies of newsroom convergence: comparing UK and Chinese newspaper groups |
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Type | PhD thesis |
Authors | Gu Yu |
Abstract | This research examines media integration in China, choosing two Chinese newspaper groups as cases for comparative study. The study analyses the convergence strategies of these Chinese groups by reference to an Role Model of convergence developed from a literature review of studies of cases of media convergence in the UK – in particular the Guardian (GNM), Telegraph Media Group (TMG), the Daily Mail and the Times. UK cases serve to establish the characteristics, causes and consequences of different forms of convergence and formulate a model of convergence. The model will specify The literature review shows that there is a need for more comparative studies of media convergence strategy in general, and particularly in relation to Chinese media. Therefore, the study will address a gap in the understanding of media convergence in China. For this reason, my innovations have three folds: Firstly, to develop a new and comprehensive model of media convergence and a detailed understanding of the reasons why media companies pursue differing Since, there is no standard research method or systematic theoretical framework for the study of Newsroom Convergence, this study develops an integrated perspective. The research will use the triangulation analysis of textual, field observation and interviews to explain systematically what was the newsroom structure like in the past and how did the copy flow change and why. Finally, this case study of media groups can provide an industrial model or framework |
Year | 2016 |
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