Use machine learning on Wikipedia edits to discover interesting edits. One important category of "interesting" is attempted censorship.
For example, find pairs of pages in which the link distance from one to another "surprisingly" long, despite them both being in the same cluster as discovered by machine learning. Find edits that caused large increases to the distance between articles.
Inspired by the speculation that company or product articles on Wikipedia may deliberately try to avoid linking to competing companies or products.
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