摘要：

Abstract:

【Purpose/significance】This study aims to implement socialized reading recommendations for emergency information in

real-time from the dimensions of information demand and information quality. The purpose is to timely measure and respond to public

information demand and to provide intellectual support for governments' crisis response decisions to avoid online public opinion cri⁃

ses.【Method/process】This study collected data about the event of "Japan Nuclear Sewage Discharge into the Sea" on the Sina Weibo

platform to explore themes and summarized information needs. Then, an indicator system of demand measuring was constructed based

on the theory of public product demand. Based on the dual path model and characteristics of crisis information, an information quality

evaluation system was constructed to calculate emergency contribution combined with demand intensity. Finally, the social reading

content was optimized based on Activity Based Classification.【Result/conclusion】There are 7 types of public emergency information

needs, namely personal influence, preventive measures, event news, public opinion, multi-party attitudes, event impact and common

sense information. In the context of social reading, the focus of information needs frequently shifts at different times of crisis. The nov⁃

elty indicator has the greatest impact on information quality. Information demand intensity has a greater impact on the emergency con⁃

tribution than information quality.【Innovation/limitation】This study proposes a fine-grained real-time measurement method for infor⁃

mation demand, which combines information quality to construct a multidimensional fusion recommendation model for emergency infor⁃

mation. In the future, information users will be finely divided to carry out personalized information recommendations in a targeted manner.