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Earlier this week, NewsWhip announced the release of their Chrome Extension, which predicts the virality of any story across Facebook, Twitter and Pinterest, using their social engagement database.

The Chrome extension allows you to see just how shareable a piece of content is, by checking the profiles and influencers that are driving the shares. From this, looking at the context of that share and the people within the network of those profiles and influencers, you will get a predicted number of future interactions of up to a 24 hour period from the time you have used the extension. However, this is also dependent on if that story has been shared within this timeframe.

The dashboard displays Facebook engagements (likes, shares, comments, and reactions), Predicted Interactions, Twitter Influencer shares, and Pinterest Pins. The second half of the screen displays the Influencers for Facebook or Twitter.

 

So this is how it looks like in practice.

Start off  by navigating to a page of your choice (in our instance it is the Spotify IPO TechCrunch story) and click the extension to check on a link:

With Facebook, they currently have 1,948 interactions, but it’s predicted to accrue another 2,327 interactions in the next 17 hours, which will probably be from TechCrunch sharing this post again on their page.

And with Twitter, it appears the combination of reshares from TechCrunch and tech news aggregators and shares from tech inventors/entrepreneurs, like Isaac Noor will encourage further social media engagement.

So how can you use this Chrome Extension moving forward?

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If you are quick to anticipate a potential insider or news story, then use this to predict the type of users that haven’t shared it yet and using your own insights and angle, create your own story and share it with people who overlap with your and existing influential sharers networks. Essentially you are newsjacking. Alternatively use this, or NewsWhip Spike (their fully fledged paid tool solution) to collect historical data of similar performing stories and replicate their successes for your own, through a comprehensive content seeding and distribution plan.

 

What tool or method are your using to predict viral stories? Share your views in the comments section below. Or if you have a news story or tip-off, drop us a line at vahe@stateofdigitalpublishing.com.