政府辟谣信息的用户评论及其情感倾向的影响因素研究

发布时间：2018-05-23 16:53

  本文选题：辟谣信息 + 用户评论　； 参考：《情报科学》2017年12期

【摘要】：【目的/意义】明确用户评论的情感倾向及其主要影响因素,有助于政府了解网民的态度及观点,更好地引导和控制舆情发展。【方法/过程】运用八爪鱼软件采集新浪政务微博上的辟谣信息,获取数据75847条,构建多元Logistic回归模型对用户情感倾向的影响因素进行分析。【结果/结论】研究发现:用户对政府辟谣信息表现出不同的情感倾向,其中,中性情感倾向用户比重最小,消极情感用户和积极情感用户占比接近;内容特征变量、文本特征变量、用户特征变量均对用户情感倾向有显著影响,但影响方式各异。
[Abstract]:[objective / significance] to clarify the emotional tendency of users' comments and their main influencing factors, which will help the government to understand the attitudes and views of Internet users. Better guide and control the development of public opinion. [method / process] using the software of Octopus to collect information on Sina government Weibo, get 75847 pieces of data, The multivariate Logistic regression model is constructed to analyze the influencing factors of users' affective tendency. [results / conclusion] it is found that the users have different affective tendencies to the information of government disinformation, among which, the proportion of neutral affective tendency is the least. The proportion of negative emotional users and positive emotional users is close; content feature variables, text feature variables and user feature variables all have significant effects on users' emotional tendency, but in different ways.
【作者单位】： 华中农业大学公共管理学院信息管理系;武汉大学信息管理学院;
【基金】：教育部人文社会科学重点研究基地重大项目(15JJD870001)
【分类号】：D630;G252
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本文编号：1925578