Yet another way to auto-filter the news

In Smartness, The news biz on September 14, 2007 at 6:08 am

I ran across this in a LinkedIn Q&A. It’s called Ten by Ten. Here’s the lowdown:

Every hour, 10×10 scans the RSS feeds of several leading international news sources, and performs an elaborate process of weighted linguistic analysis on the text contained in their top news stories. After this process, conclusions are automatically drawn about the hour’s most important words. The top 100 words are chosen, along with 100 corresponding images, culled from the source news stories. At the end of each day, month, and year, 10×10 looks back through its archives to conclude the top 100 words for the given time period. In this way, a constantly evolving record of our world is formed, based on prominent world events, without any human input.


Currently, 10×10 gathers its data from the following news sources:
Reuters World News
BBC World Edition
New York Times International News

In my experience, the pictures vanished from the grid after the first click, which greatly diminished the alleged intuitiveness. Maybe it’s just a temporary glitch. Your results may vary.

It’s all a bit counterintuitive to a guy who’s immediate job is to scan the wires so you don’t have to. But it’s darkly amusing to watch what we once may have thought of as a fairly intellectual job automated out of existence, like a typesetter or a factory welder. What we need is a killer app that makes arrogant, overpaid CEOs obsolete.


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