University at Buffalo 3 credits Communication
Our individual and collective behaviors online–be it a social media post about your new journal publication (congrats!), a Google review of the ICA conference’s hotel (WiFi was terrible, wasn’t it?), or the lyrics from your favorite Spotify playlist– leave digital traces that can be compiled into comprehensive pictures of our lives–both as individuals and as groups or societies. It is the goal of this course to teach you how to collect, understand, analyze, and publish big data in communication contexts, with a strong focus on textual data. The good news for researchers hoping to unravel the mysteries beneath the vast land of big data is that in tandem to increases in data, we are witnessing the emergence of a new subfield in social sciences and communication research, known as Computational Communication Research (part of the broader Computational Social Science). This course will familiarize students with state-of-the-art programming skills and methods that could enrich their research abilities, especially when analyzing text, but also when conducting other statistical models (from simple multiple regressions to complicated moderated mediated effects–i.e., who needs SPSS anyway?).
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