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Mo's website (CV)
Mo specializes in how online users select information and are affected by it in political and science communication. Mo employs both traditional (e.g., survey and experiment) and emerging (e.g., big data and behavior tracking measure) approach. Currently, he plays with time-series Big Data to explore how people generate information through the digital media (e.g., Twitter, blogs) responding to real-world incidents and media events. His big data projects also involve testing the assumptions outlined by the agenda-setting hypothesis in the use of SNSs. Mo’s scholarly writing has received best paper awards at the AEJMC (2011) and ICA (2012, 2013). His first-authored articles appear in Journal of Environmental Psychology, Mass Communication and Society, Science Communication, and First Monday. Before joining the program, Mo worked for a major network as a TV reporter in South Korea.
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Ann Arbor, MI