The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Using social media to enhance citizen engagement with local government: Twitter or Facebook?
Abstract
The social media are becoming a major channel of online interactive participation, and local governments are seizing this opportunity to enhance citizen engagement in political and social affairs. This article analyses the various forms of social media used – that is, Twitter or Facebook – by citizens in their relations with Spanish local government, to determine which of these achieves the strongest degree of commitment. We also analyse the influence of various factors on this level of commitment. The results obtained show that Facebook is preferred to Twitter as a means of participating in local government issues. Other factors that are relevant to citizen engagement are the level of online transparency, mood, the level of activity in social media and the interactivity offered by the local government website. The findings of this study contribute significantly to understanding how citizen engagement is influenced by the type of social media adopted.
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“In fact, digital platforms offer governments and institutions new communicative environments for informing citizens directly, for enhancing citizens' participation and policy development, and for being more transparent and accountable to public opinion and mass media (Haro-de-Rosario et al., 2018;Lovari & Valentini, 2020;Silva et al., 2019).”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Haro-de-Rosario et al., 2018
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What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010) · Government Information Quarterly · doi:10.1016/j.giq.2010.03.001 · Cited by 2,451
The Wealth of Networks: How Social Production Transforms Markets and Freedom
(2006) · Choice Reviews Online · doi:10.5860/choice.44-0999 · Cited by 1,903
Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stieglitz, S., & Dang-Xuan, L. (2013) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290408 · Cited by 1,604
A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage
Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.11.001 · Cited by 1,011
Grimmelikhuijsen, S. G., & Meijer, A. J. (2014) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mus048 · Cited by 678 · cited 1×
“In this respect, online transparency, via local government websites, generates increased confidence among citizens (Grimmelikhuijsen and Meijer, 2014).”
Background
Cited by
Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106380 · Cited by 652
Exploring the Challenges of Generative AI on Public Sector Communication in Europe
Lovari, A., & De Rosa, F. (2025) · Media and Communication · doi:10.17645/mac.9644 · Cited by 22
Metadata
- Authors
- Haro-de-Rosario, A., Sáez-Martín, A., & del Carmen Caba-Pérez, M.
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2016-05-09
- Volume
- 20
- Issue
- 1
- Pages
- 29-49
- ISSN
- 1461-4448 (ISSN-L)
- 1461-7315
- OpenAlex
- W2345409786
- Cited by
- 373
- References
- 7
- FWCI
- 115.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Haro-de-Rosario, A., Sáez-Martín, A., & del Carmen Caba-Pérez, M. (2018). Using social media to enhance citizen engagement with local government: Twitter or Facebook? New Media & Society. https://doi.org/10.1177/1461444816645652
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
