Disinformation - A Definition First of all disinformation can be explained as something that has to do with fears: it frightens us by taking away our individuality, as disinformation is not done for one single person. It is a manipulation; a manipulation the influenced persons did not ask for. Disinformation is never the launching of one single information/message. Several - and in most cases many - different pieces make up a puzzle of deception. One single message can be called true or false, but only the combination of several and more informations makes up a system that has the power to influence opinions. The purpose is what produces the disinformation, whereas a wrong information (even as a number of wrong informations) happening by accident represents simply a false information. The person or group presenting a disinformation knows very well what he/it is doing. The aim is that the person who receives the disinformation gets influenced into a certain and well-planned direction. Therefore the wrong information has to reach the unconscious part of the mind, has to be integrated into personal thoughts. A good way to reach that goal is to use a commonly known information, something familiar to reach the confidence of the recipient. The best is to use a quasi neutral message. Afterwards the real disinformation is woven into that other information. The mixture between truth, half-truth and lie is the most adequate method to get a disinformation into people's minds. The knowledge about how to use material and how to slightly change it until the statement turns against someone or some idea, is a type of art to cope with words.

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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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