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  Report: The content industry

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 WORLD-INFOSTRUCTURE > THE CONTENT INDUSTRY > GLOBALIZATION OF MEDIA POWER
  Globalization of Media Power


Until the 1980s most media were domestically owned and regulated. Then, following the increased emphasis on free trade, national deregulation and privatization, pushed for by institutions like the International Monetary Fund (IMF) and the World Bank, drastic changes within the world of media occurred.

While throughout the 1990s media were still primarily organized on a national or local level, with the further rise of neoliberalism and the implementation of free movement of labor, goods, services and capital between countries the importance of national boundaries has diminished. Today the whole world participates in one global market system. Just as many other industries also commercial media have followed the trend towards globalization, resulting in an increasing number of transnational corporations (TNCs), which maintain subsidies in several countries and operate and invest on the basis of a multi-country perspective.




browse Report:
The content industry
    The Concept of the Public Sphere
 ...
-3   Commercial vs. Independent Content: Human and Financial Resources
-2   Commercial vs. Independent Content: Power and Scope
-1   Commercial Media and the Economic System
0   Globalization of Media Power
+1   Centralization of the Content Industry
+2   Highlights on the Way to a Global Commercial Media Oligopoly: 1980s
+3   Highlights on the Way to a Global Commercial Media Oligopoly: 1990s
     ...
Digital Commercial Content
 INDEX CARD     RESEARCH MATRIX 
Expert system
Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.