A non-history of disinformation

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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Positive Images

Certainly propaganda needs positive aspects as well:
The art of circulating positive images even if the actual situation is unsuccessful, like in a war or before elections, when all opinion-polls are negative, is one which needs talent. Napoleon obviously possessed this talent.
Another master of this was Adolf Hitler and the people working next to him. The way how he was portrayed as the father of the nation, the sensitive guide through that war - even at a moment when it should have been clear that there was nothing left to win for the Germans/Austrians in that war - is quite extraordinary and demonstrates a hard piece of work. But more than anything else it need the population's will to believe those propaganda-messages. And the Germans preferred to believe in Hitler than to look for another truth.

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1960s - 1970s: Expert Systems Gain Attendance

The concept of expert systems dates back to the 1960s but first gained prominence in the 1970s. Conclusive for this development were the insights of the Stanford University professor Edward Feigenbaum, who in 1977 demonstrated that the problem-solving capacity of a computer program rather is a result of the knowledge it posses, than of the applied programming techniques and formalisms.

Expert systems were designed to mimic the knowledge and reasoning capabilities of a human specialist in a given domain by using (top down) artificial intelligence techniques. Made possible by the large storage capacity of the computers at the time, expert systems had the potential to interpret statistics and formulate rules. An initial use of expert systems was to diagnose and treat human physical disorders, but as its applications in the market place were extensive over the course of the following years they were also employed in fields such as stock market forecast, taxation, chemistry, and geology.

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Neural network

A bottom-up artificial intelligence approach, a neural network is a network of many very simple processors ("units" or "neurons"), each possibly having a (small amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carry numeric data. The units operate only on their local data and on the inputs they receive via the connections. A neural network is a processing device, either an algorithm, or actual hardware, whose design was inspired by the design and functioning of animal brains and components thereof. Most neural networks have some sort of "training" rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks "learn" from examples and exhibit some structural capability for generalization.

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Galileo Galilee

Galileo Galilee (1564-1642), the Italian Mathematician and Physicist is called the father of Enlightenment. He proofed the laws of the free fall, improved the technique for the telescope and so on. Galilee is still famous for his fights against the Catholic Church. He published his writings in Italian instead of writing in Latin. Like this, everybody could understand him, which made him popular. As he did not stop talking about the world as a ball (the Heliocentric World System) instead of a disk, the Inquisition put him on trial twice and forbid him to go on working on his experiments.

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cryptology

also called "the study of code". It includes both, cryptography and cryptoanalysis

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Bandwidth

The bandwidth of a transmitted communications signal is a measure of the range of frequencies the signal occupies. The term is also used in reference to the frequency-response characteristics of a communications receiving system. All transmitted signals, whether analog or digital, have a certain bandwidth. The same is true of receiving systems.

Generally speaking, bandwidth is directly proportional to the amount of data transmitted or received per unit time. In a qualitative sense, bandwidth is proportional to the complexity of the data for a given level of system performance. For example, it takes more bandwidth to download a photograph in one second than it takes to download a page of text in one second. Large sound files, computer programs, and animated videos require still more bandwidth for acceptable system performance. Virtual reality (VR) and full-length three-dimensional audio/visual presentations require the most bandwidth of all.

In digital systems, bandwidth is data speed in bits per second (bps).

Source: Whatis.com

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