Description:

Duration: Approximately 60 minutes.

Cost: Free

Watch the webcast in its original format >

In this session we shall analyze political discourse in social media and compare it to the discourse of the candidates. Whose social media presence is more effective? Can we make local predictions of electoral success or failure based on discourse analysis? In this webcast, I will present a simplified methodology that one could use as a jumping-off point to automated discourse analysis at scale -- and apply to real-time data streams coming from electoral politics of the 2012 Republican primary.

About Maksim Tsvetovat

Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. Currently, he teaches social network analysis at George Mason University. He is also a co-founder of DeepMile Networks, a startup company concentrating on mapping influence in social media. Maksim also teaches executive seminars in social network analysis, including "Social Networks for Startups" and "Understanding Social Media for Decisionmakers".

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