What is really online? Bias, sampling, and platform error in online networks.
Ian McCulloh, Johns Hopkins, Applied Physics Lab
There has been a recent increase in the use and study of online data, such as social media. Several scientists have explored the differences between online data and offline data that is traditionally used in social science research. This talk will review several of these differences, highlighting potential bias, sampling error, and platform error in online data. Despite the differences, bias, and error, online data provides valuable insight for applications ranging from sociology to marketing to organizational behavior. Management of social media fire storms (negative publicity) will be discussed. In addition, an application of online data is presented that promises to aid managers in dynamically moving their team between agility and efficiency as organizational requirements change. The goal of this talk is not to provide finished solutions, but rather to promote potential research threads, innovation, and identify collaboration opportunities.
April, 25 2016 | 12:30 p.m. - 2:00 p.m. | 270 Gross Hall