Weiman Ni

The purpose of this paper is to describe Communication mechanism of Media Education. A review of contemporary literature will show how trends in big data have actually been informing the content of broadcast itself, particularly in television that is distributed in digital channels. The adoption of data-driven content by these channels is thus beginning to spread to traditional networks as well. The paper will also touch on how big data affects consumer marketing and habits on the distribution end of the broadcast field.

media education, big data science, subject teaching, communication mechanism

[1] Ansolabehere, S., Behr, R., Iyengar, S. Media Game: American Politics in the Television Age. 1993. [2] Big Data for Media Insight, Intelligence, Intimacy. 2013; 6(1): 1-5. [3] Brandon, J.. How 'Big Data' could help TV networks make better shows. [4] Broniatowski, D. A., Paul, M. J., Dredze, M. Twitter: Big data opportunities. Science, 2014; 345(6193): 148. [5] Brown, B., Chui, M., Manyika, J. Are you ready for the era of ‘big data’. McKinsey Quarterly, 2011; 4: 24-35. [6] Boyd, D., Crawford, K. Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 2012; 15(5): 662-679. [7] Farber, A. What big data means for TV. Broadcast Magazine. 2014, 6, 24. [8] Feng, L. An Investigation on the Communication Strategy of Science Television Program in Big Data Era. Science Popularization, 2013; 5(6): 34-36.

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