Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 36

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Revisiting PR professionalism and ethics in the generative AI era through PR practitioners’ insights

Dong, Chuqing, van den Berg, Morgan·2025·Public Relations Review
DOI 10.1016/j.pubrev.2025.102582
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.pubrev.2025.102582

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Research works printed but not linked: 33

  1. Bachmann, 2019, Public relations in liquid modernity: How big data and automation cause moral blindness, Public Relations Inquiry, 8, 319, 10.1177/2046147X19863833 · DOI
  2. Bourne, 2019, AI cheerleaders: Public relations, neoliberalism and artificial intelligence, Public Relations Inquiry, 8, 109, 10.1177/2046147X19835250 · DOI
  3. Bowen, 2008, A state of neglect: public relations as ‘corporate conscience’ or ethics counsel, Journal of Public Relations Research, 20, 271, 10.1080/10627260801962749 · doi:10.1080/10627260801962749
  4. Bowen, 2024, If it can be done, it will be done:” AI ethical standards and a dual role for public relations, Public Relations Review, 50, 10.1016/j.pubrev.2024.102513 · DOI · Paper page
  5. Bruyn, 2020, Artificial intelligence and marketing: Pitfalls and opportunities, Journal of Interactive Marketing
  6. Cusnir, 2024, Using generative Artificial Intelligence tools in Public Relations: Ethical concerns and the impact on the profession in the Romanian context, Communication Society, 37, 309, 10.15581/003.37.4.309-323 · doi:10.15581/003.37.4.309-323
  7. Dong, 2022, Toward a caring government: Advancing ethical government public relations with a care-based relationship cultivation model, Journal of Public Relations Research, 34, 179, 10.1080/1062726X.2022.2119978 · DOI
  8. Duckett, 2024, Exploring the use, adoption, and ethics of generative artificial intelligence in the public relations and communication professions, Communication Teacher, 39, 33, 10.1080/17404622.2024.2395312 · DOI
  9. Dwivedi, 2023, “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy, International Journal of Information Management, 71
  10. Fitzpatrick, 2001, Toward a professional responsibility theory of public relations ethics, Journal of Mass Media Ethics, 16, 193, 10.1207/S15327728JMME1602&3_8 · doi:10.1207/s15327728jmme1602&3_8
  11. Galloway, 2018, Public relations and artificial intelligence: It’s not (just) about robots, Public Relations Review, 44, 734, 10.1016/j.pubrev.2018.10.008 · DOI
  12. Gouda, 2020, Application of artificial intelligence in advertising & public relations and emerging ethical issues in the ecosystem, International Journal of Advanced Science and Technology, 29, 7561
  13. Guzman, 2024, What generative AI means for the media industries, and why it matters to study the collective consequences for advertising, journalism, and public relations, Emerging Media, 10.1177/27523543241289239 · DOI
  14. Huang, 2001, Should a public relations code of ethics be enforced?, Journal of Business Ethics, 31, 259, 10.1023/A:1010719118448 · DOI
  15. James, 2024, The ethical and legal implications of using big data and artificial intelligence for public relations campaigns in the United States, International Journal of Communication and Public Relation, 9, 38, 10.47604/ijcpr.2273 · doi:10.47604/ijcpr.2273
  16. Khan, 2022, Ethics of AI: A systematic literature review of principles and challenges, 383
  17. Logan, 2024, Navigating artificial intelligence, public relations and race, Journal of Public Relations Research, 36, 283, 10.1080/1062726X.2024.2308868 · DOI
  18. Luckett, 2023, Regulating generative AI: A pathway to ethical and responsible implementation, Journal of Computing Sciences in Colleges, 39, 47
  19. Meng, 2022, Ethical challenges in an evolving digital communication era: Coping resources and ethics trainings in corporate communications, Corporate Communications: An International Journal, 27, 581, 10.1108/CCIJ-11-2021-0128 · DOI
  20. Mthuli, 2021, ‘Define, explain, justify, apply’ (DEJA): An analytic tool for guiding qualitative research sample size, International Journal of Social Research Methodology, 25, 809, 10.1080/13645579.2021.1941646 · DOI · Paper page
  21. Munn, 2022, The uselessness of AI ethics, AI and Ethics, 3, 869, 10.1007/s43681-022-00209-w · DOI · Paper page
  22. Panda, 2019, Artificial intelligence: A strategic disruption in public relations, Journal of Creative Communications, 14, 196, 10.1177/0973258619866585 · DOI
  23. Neill, 2012, PR professionals as organizational conscience, Journal of Mass Media Ethics, 27, 220, 10.1080/08900523.2012.746108 · DOI
  24. Place, 2010, A qualitative examination of public relations practitioner ethical decision making and the deontological theory of ethical issues management, Journal of Mass Media Ethics, 25, 226, 10.1080/08900523.2010.497405 · DOI
  25. Place, 2015, Exploring the role of ethics in public relations program evaluation, Journal of Public Relations Research, 27, 118, 10.1080/1062726X.2014.976825 · doi:10.1080/1062726x.2014.976825
  26. Place, 2013, Hegemonic discourse and self-discipline: Exploring Foucault’s concept of bio-power among public relations professionals, Public Relations Inquiry, 10.1177/2046147X13494965 · doi:10.1177/2046147x13494965
  27. Place, 2019, Moral dilemmas, trials, and gray areas: Exploring on-the-job moral development of public relations professionals, Public Relations Review, 45, 24, 10.1016/j.pubrev.2018.12.005 · DOI
  28. Salzano, 2025, Examining proposed generative AI integrations in public relations: Offering participatory (AI) public relations, Public Relations Inquiry, 0
  29. Williams, 2019, The art of coding and thematic exploration in qualitative research, International Management Review, 15, 45
  30. Yang, 2025, Preparing public relations’ practitioners for the AI era: Advancing pedagogical principles in public relations’ artificial intelligence education, Journalism Mass Communication Educator, 10.1177/10776958241277682 · DOI
  31. Yang, 2016, Ethical convergence, divergence or communitas? An examination of public relations and journalism codes of ethics, Public Relations Review, 42, 146, 10.1016/j.pubrev.2015.08.001 · DOI
  32. Yue, 2024, Public relations meets artificial intelligence: Assessing utilization and outcomes, Journal of Public Relations Research, 36, 513, 10.1080/1062726X.2024.2400622 · DOI
  33. Zerfass, 2020, Artificial intelligence in communication management: A cross-national study on adoption and knowledge, impact, challenges, and risks, Journal of Communication Management, 24, 377, 10.1108/JCOM-10-2019-0137 · DOI

Cited by

See all 36

Metadata

Authors
Dong, C., & van den Berg, M.
Venue
Public Relations Review
Publisher
Elsevier BV
Published
2025-09
Volume
51
Issue
3
Pages
102582
ISSN
0363-8111
DOI
10.1016/j.pubrev.2025.102582
Cited by
36
References
5
Language
en
Licence

About these checks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Revisiting PR professionalism and ethics in the generative AI era through PR practitioners’ insights. https://app.cochat.ai/papers/10.1016/j.pubrev.2025.102582
The paper
Dong, C., & van den Berg, M. (2025). Revisiting PR professionalism and ethics in the generative AI era through PR practitioners’ insights. Public Relations Review. https://doi.org/10.1016/j.pubrev.2025.102582

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.