Wikipedia

Find Out What’s Moving and Shaking With Wikipedia Hot Topics

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.

Wikipedia

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.

Mojeek Web Search Wikipedia

Searching in Data Tide Pools Before Braving Google’s Oceans

I’ve been playing with the idea of building a little wading pool of data that offers a limited but reasonably authoritative collection of information (in this case Wikipedia), and then  exploring the relationships between those data to build more complex search engine queries that are less likely to get snared by junk Google results. I made […]

JavaScript Wikipedia

Shaking Wikipedia Categories to See What Pops Up

I’ve been spending the last few days playing with my favorite mental chew toy, the question “How do you ask for what you don’t know?” It’s an important question because every search engine query above a certain level of complexity involves filling in a knowledge gap. How you understand, define, and contextualize that gap means […]

Date Search Mojeek Wikipedia

Making Location-Based Timelines With Wikipedia, Wikidata, and Mojeek

I started learning JavaScript in Mayish 2022. I wanted to make tools to address some of the things I disliked about Google search, and after looking around it seemed like JavaScript was the best solution. So I signed up for a course, thrashed and flailed my way through 50 of the 59 lessons, and then […]

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