Information ecology of digital discourse and sentiment on maternal health access during the COVID-19 pandemic
TL;DR
The Xi’an incident is analyzed as case-specific descriptive signals from one event on one platform that may complement formal monitoring of essential service continuity and emergency risk communication.
Abstract
Public sentiment on social media can shift rapidly during public health emergencies, yet phase-resolved evidence remains limited when essential maternal and reproductive health service access becomes the focal concern. Using an information ecology framework and a hybrid phase-resolved design, we analyzed 8,762 publicly accessible Sina Weibo posts and comments related to the widely reported Xi’an incident during COVID-19 control measures. The trajectory was summarized as a four-stage reporting structure: a one-day Emergency stage marking burst onset and the earliest intervention window, followed by Outbreak, Cooling, and Out-of-Focus stages whose later boundaries were checked with structural-break analyses of daily posting volume. Discourse shifted from rapid amplification and accountability framing near the attention peak to implementation-oriented discussion of service continuity, triage, and preparedness. Negative sentiment was most visible early, then declined and stabilized; this stabilization co-occurred more consistently with concrete access arrangements, such as hotlines and green-channel pathways, than with statements alone. Recurring rights- and access-oriented appeals highlighted frictions in obtaining essential care under restrictive measures. We interpret these findings as case-specific descriptive signals from one event on one platform that may complement formal monitoring of essential service continuity and emergency risk communication.