'The Media Communication Union, which represents the interests of major media and telecoms companies in Russia, has revealed its new anti-piracy system. Set to be delivered to copyright holders in July, the system is said to utilize neural networks in order to self-learn while reducing the need for human intervention.
Last November, major media and tech companies in Russia signed a landmark memorandum in order to tackle the rise of pirated content on the Internet.
Central to the agreement was the creation of a database populated with links to material deemed copyright-infringing by entertainment industry groups
Operators of search platforms agreed to query the database every five minutes and then, within six hours, remove links to the content from their search results. The same applies to sites that actually host content, such as Yandex.video and RuTube, for example.
Population of the database got quickly underway and according to the Media Communication Union (MKC), which represents the interests of major media and telecoms companies, now contains around 300,000 links. However, the companies involved feel that the system can be much improved with the addition of custom software.
To that end, this week the MKC revealed that it has begun testing a new anti-piracy system that will allow content to be added to the database more quickly and efficiently. The tool not only allows URLs to be entered manually but also accepts input from “specialized search systems” that are able to identify illegal content.'
Read more: Media & Telecoms Companies Reveal “Self-Learning” Anti-Piracy System