Structuration of Information Control in China
Datos Bibliográficos
| ID | 2412232 |
|---|---|
| Autores | Serena Liu (0000-0002-1000-6727, University of Essex, autor de correspondencia) |
| Año | 2011 |
| Volumen | 5 |
| Número | 3 |
| Páginas | 323-339 |
| Fecha de publicación | 2011-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Cultural Sociology (JOURNAL) |
| Identificadores de la revista | ISSN: 1749-9755 • E-ISSN: 1749-9763 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1749975511401271 |
| OpenAlex | W2014492209 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 44 |
This article analyses information censorship in China. It adopts a theoretical approach which perceives rules and resources as the rudimentary elements that constitute social action and comprise social systems. The rules concerning market formation, technological progress and social stability of the most resourceful state elite dominate the information subsystem. Market rules and technology rules result in information growth, but this is controlled to a degree acceptable to the elite through stability rules. Foreign and domestic media corporations adhere to stability rules, which is not conducive to information dissemination. Media workers tend to follow stability rules and contribute to information restriction. Although they increasingly draw on rules regarding professionalism, many seek to balance these with stability rules in order not to lose access to information. Those who disregard stability rules truly promote information freedom
Action (physics · Balance (ability · Business · Censorship · China · Control (management · Economics · Elite · Law and economics · Management · Order (exchange · Political science · Politics · Public relations · Social media · Sociology · Stability (learning theory · State (computer science · Computer Science · Law · Media Studies and Communication · Social Media and Politics
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| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 0,25 |
| Intervalo de citas | 2014 - 2020 (7) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |