Exploring Public Relations Research Topics and Inter-Cluster Dynamics Through Computational Modeling (2010-2020): A Study Based on Two SSCI Journals

Alvin Zhou et al.

Journal of Public Relations Research2023https://doi.org/10.1080/1062726x.2023.2180373article
ABDC B
Weight
0.75

Abstract

This project addresses the evolution of public relations research over the past decade by examining its two SSCI-indexed journals with methods that can reveal the influence of multiple categories of research clusters. Modeling the full text of all 1,293 published articles in Public Relations Review (PRR) and the Journal of Public Relations Research (JPRR) from 2010 to 2020 (7,400,685 words), we identified nine non-discrete clusters in public relations research. Using three computational methods – structural topic modeling, inter-cluster network analysis, and network simulation – we found that (1) the strategic management cluster emerged as the most central for the past decade, followed by public relations professionalism, digital media, crisis communication, internal communication, global public relations, rhetoric and philosophy, media relations, and critical studies, ranked by their proportions in the scholarship; (2) JPRR had greater emphasis on the strategic management cluster relative to PRR, which offered a more diverse representation; (3) little longitudinal change occurred throughout the decade, although internal communication gained traction and public relations professionalism and media relations lost ground as the decade progressed; and 4) the last ten years of public relations research did not see intersection among theoretical traditions from different clusters as much as expected, leaving opportunity for more inter-cluster knowledge production. Theoretical and practical implications for the public relations research community are discussed.

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https://doi.org/https://doi.org/10.1080/1062726x.2023.2180373

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@article{alvin2023,
  title        = {{Exploring Public Relations Research Topics and Inter-Cluster Dynamics Through Computational Modeling (2010-2020): A Study Based on Two SSCI Journals}},
  author       = {Alvin Zhou et al.},
  journal      = {Journal of Public Relations Research},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1080/1062726x.2023.2180373},
}

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Evidence weight

0.75

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact1.00 × 0.4 = 0.40
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.