大数据环境下情报学在网络舆情研究中的作用

The Role of Information Science in the Research of Network Public Opinions in the Big Data Environment

在CNKI中对图书情报领域相关期刊中有关"网络舆情"研究的现状进行调研,发现网络舆情研究已经大量地应用情报学的理论、方法和技术。通过文献分析指出大数据环境下网络舆情研究存在三个问题:一是仅关注意见领袖的研究,忽略全用户群的研究;二是仅关注自媒体的研究,忽略全媒体的研究;三是仅关注舆情治理的研究,忽略舆情生态环境的研究。为解决这些问题提出利用情报学的理论与方法对舆情媒体进行多维建模,对舆情用户进行全源画像,对舆情环境进行融合研究,实现以趋势预测代替危机补救,用环境优化代替舆情治理的目标。

A survey on the status quo of network public opinion research in CNKI journals concerning library intelligence showed that the theories, methods and technologies of information science have been widely applied in the field. Three problems have been disclosed in network public opinion research through literature analysis, namely paying attention only to the research on opinions of leaders but not those of overall users group; paying attention to self-media but overlooking omnimedia; paying attention to network public opinion governance but overlooking the environment of public opinion. In order to solve these problems, we can build a multi-dimensional model of public opinion by using the theories and methodology of information science and give a full portrait of users and conduct an integrated research of the public opinion environment. We should accomplish the goal of predicating tendency instead of remedying crises and improve the environment instead of governing public opinions.