This kind of thing isn&#x27;t anything new... here&#x27;s a similar system that is less geared toward vandalism, but more to pointing out structural and lexical flaws in the articles: <a href="https:&#x2F;&#x2F;github.com&#x2F;jcla1&#x2F;wikipedia_analyser" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;jcla1&#x2F;wikipedia_analyser</a><p>(Disclaimer: I&#x27;m the author)<p>It too uses neural-nets (and an up to 3-gram model) to detect flaws...