Racism on the Internet
The internet can be regarded as a mirror of the variety of interests, attitudes and needs of human kind. Propaganda and disinformation in that way have to be part of it, whether they struggle for something good or evil. But the classifications do no longer function. During the last years the internet opened up a new source for racism as it can be difficult to find the person who gave a certain message into the net. The anarchy of the internet provides racists with a lot of possibilities to reach people which they do not possess in other media, for legal and other reasons.
In the 1980s racist groups used mailboxes to communicate on an international level; the first ones to do so were supposedly the Ku Klux Klan and mailboxes like the Aryan Nations Liberty Net. In the meantime those mailboxes can be found in the internet. In 1997 about 600 extreme right websites were in the net, the number is growing, most of them coming from the USA. The shocking element is not the number of racist pages, because still it is a very small number compared to the variety of millions of pages one can find in this media, it is the evidence of intentional disinformation, the language and the hatred that makes it dangerous. A complete network of anti-racist organizations, including a high number of websites are fighting against racism. For example:
http://motlc.wiesenthal.com/text/x32/xr3257.html
http://www.aranet.org/
http://www.freespeech.org/waronracism/files/allies.htm
http://www.nsdapmuseum.com
http://www.globalissues.org/HumanRights/Racism.asp
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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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