We’re excited to share this cool infographic from London based creative agency and DataSift customer, FACE. Leveraging Pulsar TRAC, their newly launched social media intelligence tool powered by DataSift, FACE has introduced a series of data studies called How Stuff Spreads, which explores how digital content spreads across the social web.

This first installment explores how Gangnam Style and Harlem Shake became global memes by comparing how the top 5 versions of each video were shared on Twitter by looking at 8 dimensions of each meme: shape, lifespan, popularity, shareability, globality, amplification, variation and diffusion network.

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Who’s Big in Big Data?

DataSift Team 10th April 2013 6 Comments

A record number of Tweets were reported relating to big data within the technology sector in 2012 showing a continual growth of social interaction around ‘Big Data’. Using our sophisticated social data platform, we ran a DataSift Historics query against our hot list of Big Data products and conversations to identify which vendors were the most socially interactive, which domains were the most favorable in publicizing ‘Big Data’ Tweets, the quarterly traffic progression for mentions of ‘Big…

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The New Traditional News Outlet

DataSift Team 13th February 2013 1 Comment

With the vastness of the information at hand, and ever-greater access to that information, news agencies have to cope with a reality that their readers may never come to them for a headline again. The headlines are already out there, via Twitter, via Facebook, via whatever medium that is your particular preference. In 140 characters, the news is being broken before news agencies even realize it’s news. When your customers are beating you to the product, it changes the game.

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With an almost $4 million US dollar price tag for thirty seconds of air time, a Super Bowl commercial is a big investment for brands—and when you consider the additional costs of producing the commercial and supporting brand materials, how do you prove the value of your investment? With the real-time marketing that comes with Twitter, brands are now able to see, almost instantaneously, the reaction and impact of their investment. In today’s infographic, DataSift…

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Today, were rounding up this week’s top social media stories from around the web. As the year comes to a close, the web has provided an abundance of data analysis of trends, news, and events that have shaped 2012. From the 2012 Summer Olympics, SOPA, Curiosity Rover, U.S Presidential Election and Superstorm Sandy, social media has captured and shared the global pulse of humanity.

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Podcast: Jake Porway of DataKind

DataSift Team 11th December 2012 1 Comment

Here at DataSift, we live and breathe all things social data. We are constantly amazed by the pioneers who are manipulating that data in extraordinary ways that promote innovations we never thought possible and get especially excited about those who use big data for the greater good of humanity.
That’s why we enjoyed our interview with Jake Porway, Founder and Executive Director of DataKind, a non-profit organization that brings together data scientists and social organizations to correlate big data and provide solutions about global social issues.

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Your company’s level of social influence has a huge impact on how users trust and take to your brand. Of course, you need to build trust first in order to actually grow your influence. Sounds like a chicken and the egg scenario, wouldn’t you say? Follow these 7 steps and you’ll learn exactly how to build trust and grow your social influence simultaneously

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Check out our latest Infographic: Whether you were first in line at the mall by 8pm on Thanksgiving day, avoided the crowds with a CyberMonday online shopping spree or just spent a quiet weekend checking your Twitter and Facebook feeds, Black Friday deals were probably an inescapable part of your holiday weekend.

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We had the pleasure of being a sponsor at GigaOM’s Structure: Europe 2012, a 2-day event that housed the leaders in cloud computing. Throughout the event, we spoke with numerous attendees about their perspective on Big data trends and the cloud SaaS model in Europe. Here are the highlights we wanted to share with you.

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When you think about charts and data, “hilarious and witty” are most likely not your first thoughts that come to mind. Big data is all around us – why not make it easy on the eyes? We recently had the pleasure of spending some time with Jason Oberholtzer, blogger for Forbes and co-founder and curator of the popular Tumblr and published book, I Love Charts. As an Internet culture maven and charts junkie, he let us in on how he turns raw data into witty visualizations, the data sharing revolution, and of course, the I Love Charts’ journey from Tumblr to a Nation-wide selling book.

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