The New York Times Dialect Survey was the site’s most popular post of 2013. The data behind it is based on the extensive research of Scott Golder and his team. Now, Scott turns his eye towards using social media to gather data, and how businesses can find insight in granularity within large data sets. In addition, he discusses how offering a payoff or incentive will make people far more willing to provide an organization or researcher with data in the first place.
Scott is a data scientist and staff sociologist at Context Relevant, whose research into social media is poised to break new ground in what can be learned from analyzing large amounts of data that people provide online.