Temple University 3 credits MMC
The seminar offers an introduction to theoretical and methodological procedures for social scientific research that relies on social media and online content as primary data. Students will learn how to conceptualize a social scientific research project that uses online media as a main source of data about human behaviors, attitudes, and communication processes. Students will also learn how to use specific tools (R, NodeXL, scrapers, QDA Miner, etc.) to download content from social media (Twitter, Facebook, Instagram, etc.), organize it as datasets, and analyze it using simple statistical, text mining, and qualitative techniques. A brief introduction to downloading data from secondary data sources will also be provided. Student proficiency in basic statistical analysis and a higher level of computer literacy are expected. The main goal of the graduate seminar is to help budding social scientists step over their disciplinary boundaries when collecting and analyzing data generated by social media. At the same time, the seminar learning activities will ensure that procedures and methods reflect sound and theoretically grounded research practices.
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