Search engines and
news aggregators use keyword filtering to add ever increasing numbers of news items to your inbox. What is needed is a human editor that selects quality stories. Traditionally, newspapers and broadcast services did this, but aimed at mass adiences without differentiating individual
interests. But everybody is not the same.
Social median begins in the same way, although adding much more sophisticated filtering capabilities to search selected newsfeeds - from the New York Times to Treehuggers.com. These are feeds set up by users who specify the relavant newsfeed and add topic words to search for. Visting or subscribing to such a feed benefits from the judgement of others and produce focused article feeds much better qualified than Google News, for instance.
Where SocialMedian really comes into its own, is by allowing readers to clip stories, with the option to add a comment, and post these on their personal news feed at SocialMedian. Other users come and visit and can opt to follow these 'newsmakers' on their own home page or via email. This adds a layer of human filtering which greatly enhances the quality of stories you get to see. And significantly reduces the amount of headlines one has to scan to find the good stories.
Another feature that promises to break the boundaries of existing news aggregation technologies is the ability to clip stories from anywhere on the internet a little the way StumbleUpon collects interesting websites. In this way, relavant pages are added to a users list of clipped articles at SocialMedian and automatically shared with their 'Followers'.
For an example visit my page at SocialMedian at the link below. There is also a link to a video where the founders of SM explain their ideas.
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