Automated Takedown of Content in Europe: Effective Content Recognition Technologies
Wikimedia Foundation is urging MEPs to stand against mandatory content filtering mechanisms that would hinder access to knowledge and innovation online
“… filters are often too broad in their application because they aren’t able to account for the context of the use of a work. Automated content detection generally has no knowledge of licenses or other agreements between users, platforms, and rightsholders that may be in place. Such filtering systems also fail to make good case-by-case decisions that would take into consideration copyright laws in various countries that may actually allow for the use of a work online. As a result, a lot of culturally or otherwise valuable works are caught as “false positives” by the detection systems and consequently taken off the platforms. In fact, automated takedowns are such a prevalent phenomenon, that researchers have seen the need to document them in order to provide transparency around these processes that affect freedom of expression online, and maybe even the rule of law. Moreover, such filter systems also have been shown to create additional opportunities for attacks on users’ privacy”
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