This study investigates predictors of Twitter adoption and use by municipalities for citizen communication, considering both the level of municipal Twitter presence and the level of Twitter activity. Possible predictors included municipal characteristics as well as citizenry characteristics. Participants included 100 Pennsylvania municipalities drawn from a disproportionate stratified sample, evenly split between municipalities with and without a Twitter presence. No significant correlation was found between the level of municipal Twitter presence and active use of Twitter. Regression results suggest that the likelihood of adopting a Twitter account increases with greater population size and a younger population, though only population size significantly predicts the number of Twitter accounts. Regression results also suggest that a greater population size, lesser median citizen income, and a higher number of county-level Twitter accounts influence the level of Twitter activity among these municipalities.
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications