Misinformation and the 2020 U.S. Election
This DRG is primarily in-person but may switch to remote work as the quarter progresses.
This directed research group will study how people mobilized around misinformation during the 2020 U.S. election cycle. Students will work in a small team to qualitatively code and quantitatively analyze public data collected from Twitter. We are looking for students with a range of skills, but most important is a willingness to engage closely with the data (i.e. read and categorize a large number of social media posts). Experience with qualitative coding is a plus, but not required. Students with an interest in journalism, political science, policy, online activism, and the design of social media platforms are all encouraged to apply. The DRG will take a hybrid approach to in person and online work and learning. We will meet in person at the beginning of the quarter and will have the option to switch to remote work as the quarter progresses.
This will be a small group and we expect to have more applications than available spots. To apply, please send an email to Kate Starbird (firstname.lastname@example.org) and Stephen Prochaska (email@example.com) with a current resume and a short statement about why you want to be involved and what you hope to contribute to the project. Students must register for 3 credits, and commit to 9 hours a week (which will include in-person/remote meetings and independent work).