Digital Research Methods and Design.

Catalog description

Semester course; 3 lecture hours (delivered online, face-to-face or hybrid). 3 credits. To engage with both the possibilities and the critiques of digital data, this course speaks two languages -- sociology and data science. The course introduces the tools needed for analyzing "native-born" data in order to explain how human behavior both shapes and is shaped by digital data. Methods taught in this course are digital ethnography, digital content analysis, data sampling from social media and Twitter hashtag sampling. Students should be prepared to learn basic Python programming language in order to evaluate the science behind the internet.