It looks good and seems to capture the vibe of the moment well.
Any details on how it works? Which networks do you monitor? Is it just Twitter? How do you know where people are from? Do you go by language? Only take into account tweets with geo information?
Not OP but I'll hazard a guess it looks for URLs which appear at an accelerating rate on Twitter, using a whitelist of domain sources (since we see several frequent domains).
One feedback is I'd avoid the animation effect until the user has been idle for a few seconds.
Excellent idea about waiting for idle to update ratings. I thought a lot about how to prevent changes while user scrolling the list. At this moment user have a pause button, to do it manually, but your suggestion looks more useful. Thanks!
I monitoring 7 networks: Facebook, Twitter, Google Plus, LinkedIn for the World and VK, Odnoklassniki for Russia. GEO targeting by source popularity in country.
Checkout buzzsumo.com and a free version that we built wordlink.com. It gathers all the news in the world (mostly) then sorts it by its aggregated social activity. Likes shares comments tweets pins upvotes, on facebook twitter linkedin google plus reddit pinterest etc...
It's also a search engine used by marketing companies to analyze the news. Scrapy twisted python crawlers and elasticsearch backend for indexing.
Any details on how it works? Which networks do you monitor? Is it just Twitter? How do you know where people are from? Do you go by language? Only take into account tweets with geo information?