RT Journal Article
T1 Citizen reactions to municipalities’ Instagram communication
A1 Perea El Khalifi, David
A1 Bonsón Ponte, Enrique
A1 Bednarova, Michaela
AB In this paper, we explore how local governments are using Instagram as a communication tool to engage with their citizens, using data from the municipalities of Andalusia (Spain). We seek to identify the determinants of local government use of Instagram, the determinants of activity in this channel and the determinants of citizen reactions in order to understand the influence of media types (picture, video or album) used in municipality posts, and to understand content type (what the post is about). Instaloader, an open source intelligence (OSINT) tool for Instagram, was applied. It made it possible to automatically extract all posts of the analysed municipalities (14,742 posts). These were later automatically analysed using R, an open source software. It was determined that of the 29 Andalusian local governments with the highest populations, only those that maintainan account on Instagram, totalling 17 municipalities (58.62%), would be part of the final analysis. Our findings demonstrate that when local governments have a high level of debt, they do not maintain and actively use Instagram accounts. We also found that quality of posts’ content is more important than quantity of followers, since there is no significant relationship between citizen reactions and the number of inhabitants of a municipality or the number of followers (audience), while there is a significant negative relationship between the number of posts (activity) and reactions. Our results also highlight that the level of reactions can be stimulated by certain media and content types.
PB Elsevier
SN 0740-624X
YR 2021
FD 2021
LK http://hdl.handle.net/10272/20413
UL http://hdl.handle.net/10272/20413
LA eng
NO Perea, D., Bonsón, E., & Bednárová, M. (2021). Citizen reactions to municipalities’ Instagram communication. In Government Information Quarterly (Vol. 38, Issue 3, p. 101579). Elsevier BV. https://doi.org/10.1016/j.giq.2021.101579
NO The authors disclosed receipt of the following financial support forthe research, authorship, or publication of this article: This work was supported as beneficiaries of the “Programa Operativo FEDER Andalucía2014-2020”, by the Regional Government of Andalusia (Spain), GeneralSecretary for Universities, Research and Technology [Research ProjectsUHU-1253498].Funding for open access charge: Universidad de Huelva / CBUA
DS Repositorio Institucional de la Universidad de Huelva
RD 1 jun 2026