TY - JOUR
T1 - How do public organizations communicate their alliances on Facebook and how does the public react? A longitudinal analysis
AU - Lai, Chih-Hui
AU - Yu, Rebecca Ping
N1 - Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2022/3
Y1 - 2022/3
N2 - Organizations have adopted social media to communicate their alliances to the public, that is, engage in representational networks. Yet a comprehensive examination of what is communicated in representational networks and how public reactions are associated with these networks is relatively scarce. This study builds on the Symbiotic Sustainability Model (SSM) to examine the content of messages passed in representational networks on social media and their related public reactions. Based on a panel analysis of one year of Facebook data generated by 605 public organizations in Taiwan, this study reveals that referencing certain topics such as economic and technological development and employing linguistic features demonstrating efficacy, formality, and empathetic concern in Facebook messages was associated with an increased diversity of alliance ties reported by public organizations. Moreover, the relationship between communicating diverse alliance ties and positive public reactions in the form of likes went both ways. Integrating automated topic modeling, linguistic analysis, and panel analysis, this study provides a process-based and communication-centered view of the mechanisms and disparities underlying organizations’ strategic network management on social media.
AB - Organizations have adopted social media to communicate their alliances to the public, that is, engage in representational networks. Yet a comprehensive examination of what is communicated in representational networks and how public reactions are associated with these networks is relatively scarce. This study builds on the Symbiotic Sustainability Model (SSM) to examine the content of messages passed in representational networks on social media and their related public reactions. Based on a panel analysis of one year of Facebook data generated by 605 public organizations in Taiwan, this study reveals that referencing certain topics such as economic and technological development and employing linguistic features demonstrating efficacy, formality, and empathetic concern in Facebook messages was associated with an increased diversity of alliance ties reported by public organizations. Moreover, the relationship between communicating diverse alliance ties and positive public reactions in the form of likes went both ways. Integrating automated topic modeling, linguistic analysis, and panel analysis, this study provides a process-based and communication-centered view of the mechanisms and disparities underlying organizations’ strategic network management on social media.
KW - Issues management
KW - Panel analysis
KW - Public organizations
KW - Representational network
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85121744805&partnerID=8YFLogxK
U2 - 10.1016/j.pubrev.2021.102144
DO - 10.1016/j.pubrev.2021.102144
M3 - Article
AN - SCOPUS:85121744805
SN - 0363-8111
VL - 48
JO - Public Relations Review
JF - Public Relations Review
IS - 1
M1 - 102144
ER -