本文選題：辟謠信息 + 用戶評(píng)論��； 參考：《情報(bào)科學(xué)》2017年12期

【摘要】：【目的/意義】明確用戶評(píng)論的情感傾向及其主要影響因素,有助于政府了解網(wǎng)民的態(tài)度及觀點(diǎn),更好地引導(dǎo)和控制輿情發(fā)展�！痉椒�/過程】運(yùn)用八爪魚軟件采集新浪政務(wù)微博上的辟謠信息,獲取數(shù)據(jù)75847條,構(gòu)建多元Logistic回歸模型對(duì)用戶情感傾向的影響因素進(jìn)行分析。【結(jié)果/結(jié)論】研究發(fā)現(xiàn):用戶對(duì)政府辟謠信息表現(xiàn)出不同的情感傾向,其中,中性情感傾向用戶比重最小,消極情感用戶和積極情感用戶占比接近;內(nèi)容特征變量、文本特征變量、用戶特征變量均對(duì)用戶情感傾向有顯著影響,但影響方式各異。
[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.
【作者單位】： 華中農(nóng)業(yè)大學(xué)公共管理學(xué)院信息管理系;武漢大學(xué)信息管理學(xué)院;
【基金】：教育部人文社會(huì)科學(xué)重點(diǎn)研究基地重大項(xiàng)目(15JJD870001)
【分類號(hào)】：D630;G252
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本文編號(hào)：1925578