While it's important to stay informed about what's going on in the world, endlessly scrolling through your social media feeds and absorbing what's likely to be a largely negative influx of information can't be great for your mental wellbeing. Perhaps with an eye on stopping you from doomscrolling, developer Lyra Rebane created Xikipedia, a social media-style feed of Wikipedia entries.
The web app algorithmically displays info from Simple Wikipedia. "It is made as a demonstration of how even a basic non-[machine learning] algorithm with no data from other users can quickly learn what you engage with to suggest you more similar content," the Xikipedia landing page reads. "No data is collected or shared here, the algorithm runs locally and the data disappears once you refresh or close the tab."
You can opt to see entries from certain categories (including custom ones) and you can like "posts," each of which is a summary of the relevant Simple Wikipedia entry. Liking a post makes it more likely for posts from the same category, parent categories and linked articles to appear in your feed, Rebane explained.
You can click or tap on a post to visit the full article. It's important to note that, since Xikipedia pulls text and images from random articles, you'll probably see some NSFW material if you scroll for long enough, so be warned. You'll also likely need to wait a beat for Xikipedia to load its 40MB of data.
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