arbiter
JournalsPricingAccount

From Monologue to Dialogue: Communication Strategies of Chinese Museums on Weibo and the Imperative for Participation Awareness

Xiaole Zhu & Yoonjae Nam

Journal of Business and Technical Communication2025https://doi.org/10.1177/10506519251404923article
ABDC C
Weight
0.50

What the paper says

This study investigates the social media strategies that Chinese museums use in communicating on Weibo, focusing on the ways these museums engage with the public and the effectiveness of their online interactions. Combining grounded theory and content analysis, the authors analyze 319 posts from six major museums and 842 posts from 36 smaller museums. Their findings suggest that although museums effectively use social media for educational purposes, there is room for more interactive and diverse content to enhance public engagement. The study provides practical insights on how museums can optimize their social media strategies by emphasizing audience-centered communication and greater interactivity in order to foster deeper connections with the public.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1177/10506519251404923

Or copy a formatted citation

@article{xiaole2025,
  title        = {{From Monologue to Dialogue: Communication Strategies of Chinese Museums on Weibo and the Imperative for Participation Awareness}},
  author       = {Xiaole Zhu & Yoonjae Nam},
  journal      = {Journal of Business and Technical Communication},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/10506519251404923},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

From Monologue to Dialogue: Communication Strategies of Chinese Museums on Weibo and the Imperative for Participation Awareness

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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.