摘要
[目的/意义]对危机情境下的网络优质建议进行识别与评估,获取其中有价值、可利用的信息,帮助相关管理部门发现有价值的优质建议,以便于危机应对。[方法/过程]根据危机情境下网络建议的特点,构建基于长短期记忆人工神经网络(LSTM)的用户建议识别模型,并根据双路径模型和建议响应理论,从信息质量和信源质量双维度构建用户建议质量评估体系。以“5·9成都第四十九中学学生坠楼事件”为例,进行网络建议的识别与评估,并对获取的用户建议进行等级划分及主题分析。[结果/结论]危机情境下网络建议可划分为优质建议、可用建议和一般建议,这三种建议的主题分布在危机生命周期的各阶段并具有不同特征。根据这些特征,对相关管理部门应用优质建议及优化危机应对流程提出改进思路。
[Purpose/significance]Identifying and evaluating online high-quality advices in crisis situations and ob⁃taining valuable and usable information can help management departments find solutions to the crisis and solve the cri⁃sis effectively.[Method/process]According to the characteristics of online advice in crisis situations,this study con⁃structed a Long Short Term Memory(LSTM)-based user suggestion identification model.Based on the Elaboration Like⁃lihood Model and the Advice Response Theory,this study built a user advice quality assessment system from two dimen⁃sions of information quality and source quality.The system consists of indicators such as timeliness,relevance,urgency,and so forth.Taking the public event of“the 49th High School Student in Chengdu Falling from a Building on May 9th”,2021 as an example,this study identified and evaluated the user advices,ranked and analyzed the distribution of quan⁃tity and content themes.[Result/conclusion]The online user advices in crisis situations can be classified into highquality advices,usable advices and ordinary advices.The quantitative distribution of the three types of advices and the thematic distribution of their content have different characteristics at different stages of the crisis life cycle.According to these characteristics,this study puts for ward suggestions for management departments to apply user advices and opti⁃mize the crisis response process.
作者
安璐
黄慧
An Lu;Huang Hui(Center for Studies of Information Resources,Wuhan University,Hubei,430072;School of Information Management,Wuhan University,Hubei,430072)
出处
《情报资料工作》
CSSCI
北大核心
2023年第6期71-81,共11页
Information and Documentation Services
基金
国家自然科学基金面上项目“危机情境下网络信息传播失序识别与干预方法研究”(批准号:72174153)
国家自然科学基金创新研究群体项目“信息资源管理”(批准号:71921002)的研究成果之一。
关键词
网络建议识别
信息质量
用户建议评估
危机情境
online advice identification
information quality
user advice assessment
crisis situation
