We had a great time at SXSW this year with our Big Boulder: Bourbon & Boots event, and we’ll be heading back again next year. We’ve submitted three speaker submissions this year, and if you think the below are topics you’d like to listen to at SXSW, we’d love an upvote (or three!)
The Anatomy of a Twitter Rumor:
Solo presentation by Gnip’s lead data scientist Dr. Scott Hendrickson
Like a match to a fireworks factory, the hacked AP account ignited rumors that President Obama had been hurt in a terrorist attack causing a hundred billion dollar drop in the stock market. What was even more significant about the Hash Crash was the ability of Twitter users to suppress the rumor and cause the market to rally within minutes despite how quickly and far the rumor spread.
This session by Gnip data scientist, Dr. Scott Hendrickson, will look at the anatomy of a Twitter rumor, how it spreads, how Twitter users react with accurate information and how rumors die. Looking at a bank run, the rumors from Hurricane Sandy and the Hash Crash, we’ll see why Twitter users are good at ferreting out fact from fiction and how to recognize the difference on Twitter.
A look at the White House Hash Crash
Beyond Dots on a Map: The Future of Mapping Tweets
Ian Cairns of Gnip and Eric Gundersen of MapBox
Earlier this year Gnip and MapBox collaborated on three different maps using geotagged Tweets and this presentation is an extension of that work.
What can 3 billion geotagged Tweets collected over 18 months tell us? Turns out, a lot. Gnip collaborated with the team at Mapbox to study 3 billion geotagged Tweets in aggregate and visualize the results. That work led to 3 maps showing iOS vs Android usage, where tourists vs. local hang out, and language usage patterns. From just these maps there were some surprising findings revealing demographic, cultural and social patterns down to city level detail, across the entire world. For instance in the US, Tweets from iOS showed where the wealthy live (http://bit.ly/iOS-maps). The data has many other stories to tell as well. As Twitter use becomes more ubiquitous, it’s increasingly serving as a valid proxy not just for what’s happening “on social media,” but for what’s happening in the world in general. This is the first time social data has been mapped at this scale, and we’ll talk about both lessons gleaned from the data and what we learned about making this big of a visualizations.
Marketing’s Big Data Dissonance:
Duo Presentation by Rob Johnson of Gnip and Dan Neely of Networked Insights
Marketers know they need big data, but like the velvet rope blocking entrance to a SXSW music event, the perceived barrier is hard to overcome. The problem for the modern marketer: cutting through the noise of all of this data and zeroing in on insights that can help them better reach consumers. Big Data grows every day and marketers are faced with an additional challenge: keeping up with the speed in which new consumer data is created. The good news for marketers is that there’s no shortage of places to get information about consumers–point of sale systems to mobile check-ins to even consumer conversations across the social web. Together, all of these actions add up to an incredible mass of information known as Big Data for marketers. In this session, Networked Insights will be joined by Gnip and to discuss the tools and techniques that marketers need in order to turn the mass of Big Data into actionable and understandable insights.