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A non-history of disinformation |
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If we look at history books we see the history of the winners, of men, of the rich and powerful ones. We read about a small part of the world's history - and very often we do not even realize this selective attitude. Those books disinform, telling us that they inform about what had happened in former times. Information turns into disinformation. Even being aware of this, we tend to live with it rather than change the system of selection.
Which means, we are accustomed to disinformation, as it is nothing new.
There is nothing like an exact history of disinformation, but the topic seems to have existed forever. With the help of disinformation, power and might can be prolonged, destroyed or gained. This is the secret of disinformation and its popularity.
Rumors were the first way of spreading news. Rumors tend to be interesting and they make people interesting: first of all the person who spreads the rumor and second the person who hears about it. Both of them think that they know something that others do not know yet - and this information advantage makes them special, at least for some moments, until the next rumor is spread or that one destroyed by some truth.
The "history" of disinformation is closely connected with the history of propaganda, though those two words do not mean the same thing. They are connected to each other and tend to influence each other in various ways.
What we tend to forget: everybody is disinforming sometimes, everybody is using propaganda. And persuasion is a common companion. The latter is less problematic though, as it uses less violence.
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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.
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