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Public Sector Communication: Closing Gaps Between Citizens and Public Organizations
Overview
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Claims the paper makes
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Claims other papers make about this one
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In the citing paper
“In the post-Covid-19 era, the role of public sector communication (Canel & Luoma-aho, 2018) has undergone profound transformations due to the turbulence of socio-political scenarios, the spread of disinformation and misinformation, the rapid technological advancements, and the increasing influence of digital platforms and AI on private and public organizations (OECD, 2021;van Dijck et al., 2018;Z”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Canel & Luoma-aho, 2018
In the citing paper
“Finally, a thorough understanding of PSOs' functioning and organizational culture (Canel & Luoma-aho, 2018), is considered by the interviewees both fundamental and strategic for enhancing the quality of public communication in these turbulent and challenging times.”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Canel & Luoma-aho, 2018
In the citing paper
“Lastly, the majority of respondents highlighted the important role played by public sector communication in nurturing intangible assets to improve the relationships with citizens and the media (Canel & Luoma-aho, 2018).”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Canel & Luoma-aho, 2018
Self-check
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Citations
Cited by
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
- Canel, M., & Luoma‐aho, V.
- Publisher
- Wiley
- Published
- 2018-05-10
- Cited by
- 65
- References
- 0
- Language
- en
- Licence
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Public Sector Communication: Closing Gaps Between Citizens and Public Organizations. https://app.cochat.ai/papers/10.1002/9781119135630
- The paper
- Canel, M., & Luoma‐aho, V. (2018). Public Sector Communication: Closing Gaps Between Citizens and Public Organizations. https://doi.org/10.1002/9781119135630
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.