The news of Twitter’s termination of our data licensing contract will mean disruption for hundreds of companies. For most businesses, this will not just be a case of switching from one supplier to another, over 80% of our customers leverage capabilities that do not exist in Gnip. This blog post is for those of you who wish to continue using Twitter data. It highlights the main differences that need to be taken into consideration when…continue reading »
The whole future of social media intelligence turns on being able to make sense of unstructured Big Data – the ability to interpret millions of social posts, comments and tweets to create a deeper understanding of markets, audiences and consumer interests. But sensitivity and concerns about data privacy are on the rise. A survey conducted by the Pew Research Center found that 80% of adults who use social networking sites are concerned about third parties…continue reading »
Social data analytics will never be the same again. Today, we’ve launched VEDO FOCUS, a game-changing text classification engine that categorizes the entire real-time firehose of social media data into a taxonomy of half a million topics. FOCUS uses a corpus of more than one billion facts to categorize every single tweet, post, and blog into an ever-growing hierarchical taxonomy of more than 450,000 topics. It reads and understands natural language, unlocking the meaning within…continue reading »
We’re excited to announce that DataSift and Tableau have teamed up with LeWeb to bring real-time social analytics to LeWeb London ’13, providing a unique insight into the global social conversations around Europe’s must-attend event for technology entrepreneurs and innovators. Taking place on June 5th & 6th, this year’s LeWeb London brings together thousands of tech innovators to discuss the Social and Sharing Economy both as attendees and for people watching the live stream at…continue reading »
As a big data platform for social data, we’re always looking for new ways we can innovate to extend our platform to make it easier for companies to filter and receive social data from us. Today we’re proud to announce a new service available today to our customers: DataSift Carrier Pigeon Delivery.continue reading »
The recent launch of our re-syndication partnership with bitly allows us to see the connections between conversations and clicks like never before. Using simple analysis techniques to delve into rich data sets we are able to identify key influencer events, local variations in interests and which companies are best able to ride the wave of excitement around a breaking story.
When focusing on the week leading up to Skyfall’s U.S. opening on November 9, we discovered that people from 180 countries visited more than 2,300 different websites discussing Skyfall, covering reviews, trailers, interviews, the soundtrack and other angles.
As a Big Data platform for social, we’re continually working on how we can extend the value of insights that companies can derive from social data. Today we’re excited to announce our resyndication partnership with bitly (you can read the full announcement here) – bringing the social clickstream into our platform and integrating it to enable entirely new ways to analyze and act on social data insights.continue reading »
Earlier this month the Electronic Frontier Foundation published their annual study of the privacy policies for top Internet companies. Twitter was ranked with an impressive 3.5 stars out of 4, (one of the highest on the list), highlighting its work across four areas: openness with data demands, transparency regarding requests, whether or not they fight in court for users’ privacy requests and whether or not they do so in Congress.continue reading »
The first few days are make-or-break for a blockbuster movie, as reviews and box-office receipts pour in. With the huge hype and anticipation around Prometheus, we thought it would be fun to use DataSift to look across Twitter to see if Ridley Scott has a hit on his hands. During our analysis, we measured the sentiment of conversations around the film, totaling over 53,000 posts from nearly 40,000 people over the last 22 days.continue reading »
If you had traded based on signals today to buy/sell Facebook stock, how would you have done? Probably pretty well! We’ve been closely monitoring Twitter’s social data and its relation to the Facebook stock price. What we found is pretty interesting. The positive and negative views on Twitter mirrored the fluctuations in Facebook stock price today.continue reading »