Lexical Churn: Trump is more popular than God (on Twitter): Peter Dodds
In this talk we will discuss the speed of stories and why that matters as we enter a new age of story density. This work aims to measure and draw inferences from the masses of qualitative data that we share online on a daily basis. We will discuss an array of influencers from Korean boy bands to current political figures and looks at their journey to the top of lexical stardom. Peter Dodds is the Director of the University of Vermont's Complex Systems Center. His research focuses on system-level, big data problems in many areas including language and stories, sociotechnical systems, Earth sciences, biology, and ecology. Peter has created (and constantly evolves) a series of complex systems courses starting with Principles of Complex Systems. He co-runs the Computational Story Lab with Chris Danforth.
Produced with facilities provided by Vermont Community Access Media (VCAM).
