by Emily Nicholls on 22/09/2011 12:01:10 in CorpComms Online | share me: del.icio.us | digg | reddit | Tweet
Digg builds new algorithm to push 'meaningful stories'

Emily writes for CorpComms Mag, follow her tweets here @EmilyAVNicholls

Social news reading website Digg has re-vamped itself, and its new feature will separate news stories into appropriate 'Newsrooms' based on the topic.
The site allows users to 'Digg' stories that they think are interesting, and post comments at the same time. Users can also see how many others have clicked 'Digg' for the same story.
In a company blog post Matthew Williams, chief executive of Digg, said: 'As broad as technology or as specific as Lady Gaga. We've built a three-step algorithm to help the most meaningful stories rise to the top, leveraging our greatest asset, the Digg community.'
The first step involves sourcing content for each topic and then presenting it in real-time, in what Digg calls a 'newswire'. The second ranks the stories by popularity, and the third filters the content by sifting through comments from the Digg community.
Williams said: 'Creating the best experience for every topic is a long road.'
Sites such as Digg and similar website Stumbleupon become more useful the more they are used by a particular user as the site will log the type of stories that they are interested in. Stumbleupon, for example, will recommend stories that it 'thinks' are appropriate based on past stories the user has read.
The original, more personalised version of Digg is still live. Social media newsrooms like Digg integrate social content with a website, and users can find and share news.
share me: del.icio.us | digg | reddit | Tweet