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.
Top news stories on the web, curated by shares across social networks. View by date, news source, network, and topic.
Bit.ly Enterprise and Buzzfeed Dashboard are licensing this technology to publishers. Our project would make the data freely available to the world.
Twitter, Facebook, LinkedIn, Google+, StumbleUpon and Pinterest would all be integrated via their share count (link information) APIs. According to our internal data, these are the top social networks for news at present. Major news sites would be crawled via standard Atom/RSS feeds and frontpage HTML crawlers.
Each of the above APIs is public data. Each individual network has an interest in producing this sort of thing with its own data, but no one has an interest in producing a view that aggregates data from all networks. For example, LinkedIn does this with their LinkedIn Today product, but it does not include Facebook/Google+ data, and is biased toward LinkedIn network sharing activity. Likewise, Twitter is trying this with #Discover, but that is only limited to Twitter network data.
Inside our analytics tool, Parse.ly Dash, we have already built a social share panel that analyzes share activity for our customers’ content, authors, and sections. We therefore already have a prototype of data aggregation infrastructure for the above major APIs, and some prototype interface elements. We would separate this technology from our product and write a user interface that could be visited by everyday web users to search and discover the top stories across all social networks. We also have topic extraction technology that could be used to group stories by semantic topics.
Parse.ly raised $1.8M in 2011 and already makes real revenue ($500 - several thousand per month per customer) from its Dash product. We will sustain the free service from the sales we make on leads generated via a Parse.ly attribution on the site.