Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election

Online social networks are an important setting for understanding the intersection of online communities and offline political processes. This paper analyzes the different ways that people discuss elections on Twitter. Using data from a random sample totaling 113,985 tweets and 30,995 users, we examine the differences between users who employ various strategies to talk about US 2010 Congressional candidates. We show that users who simply include the text of a candidate's name in a message exhibit different behaviors than those who use platform-specific mechanisms. Users who employ free-text tend to have younger accounts, are less likely to be ‘verified’, and generate fewer messages about candidates. Furthermore, candidates’ share of the free-text Twitter public has a larger correlation with their vote tallies than @mentions or hashtags. This research has methodological implications for studying the dynamics between online discourse and offline behavior. Overall, our findings support the view that forms of...