Stories and reactions

We track all the popular stories on the web. These could be links to blog posts, images or videos. For every story we get all the comments on the page, comments from FriendFeed, Digg, Delicious, StumbleUpon, Reddit, YahooBuzz, all the twitts containing the link etc. We call them reactions to the story.

Distributed conversations

The story (title, link and content) and all the reactions to the story form what we call a conversation. We call it a distributed conversation because it takes place on a variety of platforms. On websites different from where the story was initially published. This is important because:

• the context is preserved
• you can measure engagement (a must-have for every social media expert) very effectively

But what is more important than anything is that we are indexing conversations and not simple, dumb websites (the way Google does). What it means for you is that if you search for a keyword we can show you conversations from stories that have no relation to that keyword, but where the reactions (tweets, comments etc) are about that keyword. For example this Google OS announcement does not contain any reference to Microsoft but the conversation is only about Microsoft so uberVU was able to find it when you searched for Microsoft.

Distributed community
We feel that today marketing is about community management. And the best way to build a fan-base is to to remarkable things. You must make people love you or hate you but you can not be in the middle and leave people indifferent. People should be interested enough by a subject to comment, share it or tweet about it. Each time someone gets engaged with a story on a subject/company/event we make him part of a community around that subject/company/event. And because they are free to use whatever tool they like ( blogs, Twitter, FriendFeed, etc) to express their we call it a distributed community from the same reasons we call a conversation distributed.

The best part is with uberVU is that you can measure and analyze a distributed community around any subject. Not only you can find how many people got engaged in the last month by sharing or commented on stories about that subject, but you can also see what platforms and websites do they use and what was the engagement evolution. Overall and on every platform. 

Let us know if you think it is to complicated ? Tweet to us or leave us a comment.