|国家预印本平台
首页|基于微博大数据分析内外取向言语暴力行为与生活满意度的关系

基于微博大数据分析内外取向言语暴力行为与生活满意度的关系

Relationship between inward & outward verbal violence and life satisfaction on Weibo

中文摘要英文摘要

对于暴力行为,以往研究多针对实际暴力行为,而随着社交网络的日益发达,网络言语暴力行为由于其影响程度的加深和波及范围的增大也得到更多的关注和探究。本研究基于挫折-攻击理论,认为网络言语暴力除了通俗意义上的“向外言语暴力”,还存在着“向内言语暴力”。研究通过微博大数据,使用文本分析的方法,旨在探究不同取向的言语暴力和生活满意度之间的关系。研究结果发现,内取向言语暴力次数对数值与生活满意度呈负相关(r=-0.167,p<0.001),外取向暴力次数对数值与生活满意度相关系数为0.031,但是相关不显著(p=0.089)。较低的内取向言语暴力和较高的外取向言语暴力能够显著预测生活满意度。

As for violent behaviors, previous researches mostly focused on actual violent behaviors. With the development of social networks, more and more attention has been paid to verbal attacks on the Internet. According to the frustration-aggression hypothesis, we believed that in addition to the "outward verbal violence" in the popular sense, there is also "inward verbal violence". This study aimed to explore the relationship between life satisfaction and verbal attack in different orientations by text analysis based on big data of Weibo. Results showed that the inward verbal violence was negatively related to life satisfaction (r = -0.167, p <0.001), and the correlation coefficient between outward verbal violence and life satisfaction was 0.031, however which was not significant (p = 0.089). Lower inward verbal violence and higher outward verbal violence can significantly predict life satisfaction. "

10.12074/202001.00120V1

信息传播、知识传播文化理论科学、科学研究

言语暴力生活满意度微博

.基于微博大数据分析内外取向言语暴力行为与生活满意度的关系[EB/OL].(2020-01-20)[2025-08-24].https://chinaxiv.org/abs/202001.00120.点此复制

评论