Wikipedia Hot Topics analyzes the top 1000 Wikipedia pages for a given date, finds the ones which had a significant view bump against a 7-day median (more than 100%), then divides them into categories (living humans, deceased humans, films, even categories like “rare diseases”. The category information is being taken from Wikidata’s P31 “instance of” value.) Each Wikipedia article on the list gets a detail section with more information about the article along with link to external tools and resources.
See How Wikipedia Topics Are Shaking the News With a Wikipedia Seismograph
By visually displaying the deviations from a seven-day moving average in a chart (which looks to me like a seismograph output) you can easily see peaks in the public’s interest in a topic. Of course, that knowledge isn’t very interesting unless you can also discover why the interest has peaked, so the WPS also includes a feature to let you create date-bounded Google News searches using the chart output.