Abstract
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.
| Original language | English (US) |
|---|---|
| Journal | Journal of Computer Information Systems |
| DOIs | |
| State | Published - Jan 1 2019 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Education
- Computer Networks and Communications
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Investigating Factors of Twitter Use among Municipal Governments. / Stone, Jeffrey; Can, Salih Hakan.
In: Journal of Computer Information Systems, 01.01.2019.Research output: Contribution to journal › Article
TY - JOUR
T1 - Investigating Factors of Twitter Use among Municipal Governments
AU - Stone, Jeffrey
AU - Can, Salih Hakan
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068129432&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068129432&partnerID=8YFLogxK
U2 - 10.1080/08874417.2019.1628673
DO - 10.1080/08874417.2019.1628673
M3 - Article
JO - Journal of Computer Information Systems
JF - Journal of Computer Information Systems
SN - 0887-4417
ER -