Wikipedia uses artificial intelligence to find bad edits

Wikipedia has begun using artificial intelligence to make the editing process easier on human editors. The machine learning service – dubbed ORES, which stands for Objective Revision Evaluation Service – reviews edits and flags suspect changes, so human editors can more quickly find problem edits.  ORES, which Wikimedia made available for anyone to use as an open Web service, “scores” the quality of any article, marking some as “damaging,” for instance.  “By combining open data and open source machine learning algorithms, our goal is to make quality control in Wikipedia more transparent, auditable and easy to experiment with,” Aaron Halfaker, senior research scientist, and Dario Taraborelli, head of research at the Wikimedia Foundation, wrote in a blog post.  ORES is currently available in 14 languages. Edit- and article-quality assessments from…


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