Publications

Follower ties play a major role in many social media platforms, representing users' choices on what content to pay attention to. This Element examines the role of geography and similarity by gender, age, race, and partisanship with respect to attention in social media by studying the follower ties among 1.1 million Twitter accounts matched to U.S. voter records. We find that geographic proximity is the dominant predictor of follower ties, and that demographic similarity by age and race/ethnicity are quite important. Surprisingly, given the prominence of political polarization in the contemporary US, partisanship plays a relatively minor role. In addition, our results indicate that the tendency to follow nearby users leads to following users of the same race/ethnicity and partisanship. Our findings highlight the enduring significance of physical geography in virtual spaces and that political preference is not a dominant determinant of online attention in social media.

Computational social science has expanded the capacity of scientists to study connected human behavior at previously unprecedented scales. Yet from its beginning, scientists expressed concern that its reliance on private companies might produce a body of work that cannot be critiqued or replicated. Such commercial determinants of science have been observed in other fields including public health where science has implications for corporate liability. In this meta-scientific report, we analyze the population of computational social science articles about technology platforms published in three general scientific journals to investigate commercial determinants of scientific replicability in computational social science. We find that only 26% of those papers can be replicated today, and that 34% of computational social science studies published in leading general scientific journals rely on special arrangements with corporations that are impossible to replicate without special permission. We find that articles relying on API access, scraping or access to nonprofit platforms have much higher potential for replication. These findings are consistent with broader literature on the commercial forces that determine the direction and reliability of science.