We have been breaking the traditional news article apart at Newslines for over a year now. The result is a hybrid between daily news, Wikipedia and Google Searc

We have been breaking the traditional news article apart at Newslines for over a year now. The result is a hybrid between daily news, Wikipedia and Google Search. We break each news story down into a 150-word summary unit based on each news event which we then sort by date to make a timeline of the news. For example, Tom Hanks[1]. Because the news summary is treated like data, we can sort it to show different views of the data. for example, reversing the sort gives a "biography view" [2]. Compare this to a Wikipedia page, or even a newspaper article, which, because they text-based, cannot be sorted. By adding meta data we an then filter the data. For example, we use "Event Types" such as births, deaths, arrests, and many more to let the users take control over what they want to see. For example you can see all the apologies on the site.[3] A big advantage of this way of creating pages is that it results in far less bias than in a traditional news article. If you're interested in more, I wrote a follow up to the NYT article [4]. [1] http://newslines.org/tom-hanks/ http://newslines.org/tom-hanks/ [2] http://newslines.org/tom-hanks/?order=ASC http://newslines.org/tom-hanks/?order=ASC [3] http://newslines.org/event/life/apology/ http://newslines.org/event/life/apology/ [4] http://newslines.org/blog/the-article-is-dead-long-live-the-feed/ http://newslines.org/blog/the-article-is-dead-long-live-the-...