The Knight News Challenge accelerates media innovation by funding breakthrough ideas in news and information. Winners receive a share of $5 million in funding and support from Knight’s network of influential peers and advisors to help advance their ideas.
Throughout 2012, innovators from all industries and countries are invited to participate in three challenge rounds, each with focused topics on emerging trends.
Round 1 - on networks - is closed, and the winners will be announced June 18.
Round 2 - on data - will be open May 31 - June 21. We’re looking for new ways of collecting, understanding, visualizing and helping the public use the large amounts of information generated each day. Winners will be announced in late September.
Details on Round 3 will available later this year.
Anyone, anywhere can apply for the challenge - whether for-profit start-ups or non-profit ventures. For more information on a variety of topics - from guidelines for for-profits, on intellectual property licensing, open source software and more - visit our FAQ.
To build an intelligent social news reader for web and mobile called NewsBlur.
RSS feed readers exist, none have the sharing model, original site view, and intelligence classifiers of NewsBlur. Since Google Reader phased out sharing, there’s a sizable community looking to share and discuss news.
NewsBlur will surface stories shared by friends and friends of friends by combining the imported networks of Twitter/Facebook with communities on NewsBlur. These communities make it easy to expand your network by showing popular comments from outside your network. NewsBlur also has intelligence classifiers which allow the user to filter and highlight comments across all networks.
Because it’s worked before, just under a different model in Google Reader’s now defunct all-or-nothing community. NewsBlur’s network will be oriented more towards showing relationships and distance between you and the other active commenters on a story. NewsBlur will capitalize on the value of pre-existing networks with an intuitive and clean interface that highlights the distance between users. Surfacing relative connections between people will result in a more active community and increased engagement between like-minded readers. NewsBlur further benefits newspapers, publishers, and individual writers by showing the original site (including ads and design), as well as encouraging reading through NewsBlur’s intelligence filters.
I started working on NewsBlur as a side project in June 2009. Over the past 2.5 years, NewsBlur has become self-sustainable through organic growth (word-of-mouth, blog posts, github activity). Because NewsBlur is open-source, a number of contributors from the NewsBlur community have developed their own pet features which have been integrated back into the website. This also works well for finding typos in documentation and allowing users to submit a simple pull request to get it fixed.
On the back-end: distributed feed fetchers and parsers. On the front-end: the feed reader itself, intelligence training, and an iPhone app. There is an actively used API, on top of which NewsBlur’s users have built a mobile website, an Android app, a Windows Phone app, and a Nokia MeeGo app. What’s not built is the entire social layer. A prototype has already been developed to surface any network relationships on comments and shared stories.
NewsBlur is free, but there is also a premium subscription that costs between $1 - $3 per month. Users can choose how much they’d like to pay, but that means that NewsBlur is able to pay for its 8 servers. The gap between costs and revenue (also known as profit) is increasing every day.