The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A framework for interpreting social media interactions in the public sector
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Citations
Cites
The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449
A Ladder Of Citizen Participation
Arnstein, S. R. (1969) · Journal of the American Institute of Planners · doi:10.1080/01944366908977225 · Cited by 17,064
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
Linking citizen satisfaction with e-government and trust in government
Welch, E. W. (2004) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mui021 · Cited by 1,222
The Effects of E‐Government on Trust and Confidence in Government
Tolbert, C. J., & Mossberger, K. (2006) · Public Administration Review · doi:10.1111/j.1540-6210.2006.00594.x · Cited by 1,092
Cited by
Data science, artificial intelligence and the third wave of digital era governance
Dunleavy, P., & Margetts, H. (2023) · doi:10.31219/osf.io/f3rza · Cited by 186
Data science, artificial intelligence and the third wave of digital era governance
Dunleavy, P., & Margetts, H. (2025) · Public Policy and Administration · doi:10.1177/09520767231198737 · Cited by 186
Public deliberation on government-managed social media: A study on Weibo users in China
Medaglia, R., & Zhu, D. (2017) · Government Information Quarterly · doi:10.1016/j.giq.2017.05.003 · Cited by 114
Metadata
- Authors
- Mergel, I.
- Venue
- Government Information Quarterly
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 30
- Issue
- 4
- Pages
- 327-334
- ISSN
- 0740-624X (ISSN-L)
- OpenAlex
- W2023599621
- Cited by
- 522
- References
- 5
- FWCI
- 161.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A framework for interpreting social media interactions in the public sector. https://app.cochat.ai/papers/10.1016/j.giq.2013.05.015
- The paper
- Mergel, I. (2013). A framework for interpreting social media interactions in the public sector. Government Information Quarterly. https://doi.org/10.1016/j.giq.2013.05.015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.