Offline interactions predict voting patterns better than online networks, finds study
According to a new study, offline social networks, revealed by co-location data, predict U.S. voting patterns more accurately than online social connections or residential sorting. Michele Tizzoni and colleagues analyzed large-scale data on co-location patterns from Meta’s Data for Good program, which collates anonymized data collected from people who enabled location services on the Facebook smartphone a … ⌘ Read more