TY - JOUR
T1 - The influence of follower reactions on political leaders’ environmental policy communication
T2 - toward a social-mediated dynamic influence framework
AU - Yang, Aimei
AU - Sun, Jingyi
N1 - Publisher Copyright:
© 2024 National Communication Association.
PY - 2024
Y1 - 2024
N2 - This study proposes that social-mediated leadership communication is a dynamic influence process, involving visible leader communications, follower emotional responses, and subsequent leader actions. These interactions form a feedback loop, where follower reactions influence leaders' strategic communication. We tested this framework by analyzing U.S. political leaders' engagement with the Green New Deal during the 2020 Presidential campaign. Using Facebook posts from congressional politicians and data on follower reactions, we applied longitudinal network models, natural language processing, and multilevel event history models to examine factors behind leaders' decisions to co-share content and discuss specific policy topics. Our findings support the dynamic influence framework, showing that follower reactions, especially those indicating support and boosting message virality, are most likely to prompt shifts in leaders’ communication strategies.
AB - This study proposes that social-mediated leadership communication is a dynamic influence process, involving visible leader communications, follower emotional responses, and subsequent leader actions. These interactions form a feedback loop, where follower reactions influence leaders' strategic communication. We tested this framework by analyzing U.S. political leaders' engagement with the Green New Deal during the 2020 Presidential campaign. Using Facebook posts from congressional politicians and data on follower reactions, we applied longitudinal network models, natural language processing, and multilevel event history models to examine factors behind leaders' decisions to co-share content and discuss specific policy topics. Our findings support the dynamic influence framework, showing that follower reactions, especially those indicating support and boosting message virality, are most likely to prompt shifts in leaders’ communication strategies.
KW - big data analytics
KW - follower-centric research
KW - political leader
KW - Social-mediated communication
KW - time-serial analysis
UR - http://www.scopus.com/inward/record.url?scp=85204089662&partnerID=8YFLogxK
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U2 - 10.1080/00909882.2024.2391864
DO - 10.1080/00909882.2024.2391864
M3 - Article
AN - SCOPUS:85204089662
SN - 0090-9882
VL - 52
SP - 576
EP - 600
JO - Journal of Applied Communication Research
JF - Journal of Applied Communication Research
IS - 5
ER -