Wikipedia wants to increase the relevance of their content and for this reason has developed a new software called Objective Revision Evaluation Service (ORES) can recognize the quality of a change according to the language of origin and context of the review. A real novelty that will allow the largest encyclopedia in the world to provide the end user the most relevant results possible.
This great new feature directly by the Wikimedia Foundation was announced in a blog post of the group that runs Wikipedia in 2001. They have explained that there are about half a million edits to Wikipedia articles every day and for this reason it is necessary to maintain a very high quality and avoid that the changes are passed.
The new artificial intelligence software enables editors of Wikipedia to discover incorrect changes quickly and provide all relevant information in real time.
Wikipedia, broad artificial intelligence. To save the quality and engage more users
While some automated software were “incredibly functional to ensure the quality of Wikipedia,” said Wikimedia, other previous projects to integrate artificial intelligence proved unsuccessful, and editors are not too happy. Some internal software have even blocked automatically changes made by new editors, what is seen as an obstacle for newcomers. ORES aims to solve this problem in the past judging purely on the content of an edit.
“The thing to note is that ORES does not judge if texts that people are adding actually are true because it is immensely complicated but goes to watch the quality so as to avoid problems with readers,” said prof John Carroll, University of Sussex, in an interview with the BBC.
The application installed on the servers of Wikipedia is able to monitor thousands of edits per second so as not to slow down it your Publisher. Everything has been tested for two months and currently is already operating on the platform of the ready to be experienced.
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