摘要
[目的/意义]针对频繁通过网络渠道造势的医闹事件,科学分析和有效控制观点异化现象以帮助医疗系统摆脱长期陷入"污名化"的不利境地是重大医疗纠纷事件网络舆情管理的关键环节。[方法/过程]选取"8.10湘潭孕妇死亡事件"为实证研究对象,采用网络爬虫软件抓取新浪微博相关议题的网络舆情文本信息,遵循扎根理论开放译码、主轴译码和选择译码等三个主要步骤归纳得到"信息源—信息接收者""事件认知""感知情绪"及"观点形成"4个主范畴,并在此基础上构建了观点异化过程的概念研究模型。[结果/结论]分析结果显示,认知、情绪和观点异化之间存在强相关关系,信息接受者的认知则取决于信息源。因此,信源信息对于舆情异化起着根本性的作用,在重大医疗纠纷事件的网络舆情管理中需要重点监控信源信息。
[Purpose / Significance] The frequently- happened doctor- patient disputes that build up their momentum on Internet have caused great loss to social stability and welfare,and scientificly analyzing and effectively controlling opinion alienation phenomenon can to some extent help the medical system get rid of stigma,which is the key process in online public opinion management of major doctor- patient disputes. [Method / Process] Taking Xiangtan Pregnant Woman Event as the empirical research case,using Web crawler software to grab online public opinion text information about this event from Sina Micro- blog,and applying Open Coding,Axial Coding and Selective Coding of Grounded Theory,we get four main categories,including ＂ information sources- information receivers＂, ＂ event cognition＂, ＂ perceived emotion＂,and ＂ opinion formation of＂. Then,a model demonstrating the process of online public opinion alienation is built based on these four categories. [Result / Conclusion] It is founded that there are strong relationships between cognition,emotion and opinion alienation; the cognition of information receivers depends on information resources,and the information resource plays a key role in opinion alienation and requires intensive monitoring in the management process of significant online dispute cases.
出处
《情报杂志》
CSSCI
北大核心
2016年第4期64-69,共6页
Journal of Intelligence
基金
国家自然科学基金项目"Web2.0环境下基于社会化网络瓶颈限制的信息扩散最大化研究"(编号:71203166)
武汉大学自主科研项目(人文社会科学)"危机伤害情境下网络声誉演化与修复机制研究"(受"中央高校基本科研业务费专项资金"资助)
武汉大学人文社会科学"70后"学者学术发展计划专题项目"数字人文和语义挖掘"的研究成果之一
关键词
医患纠纷
网络舆情
观点异化
扎根理论
doctor-patient dispute
online public opinion
opinion alienation
grounded theory
