详细信息

小镇青年的网络舆情生成及演化路径研究——基于微博数据的主题建模与情感分析    

Research on the Generation and Evolution Path of Public Opinion among Small-Town Youth——Based on Topic Modeling and Sentiment Analysis of Weibo Data

文献类型:期刊文献

中文题名:小镇青年的网络舆情生成及演化路径研究——基于微博数据的主题建模与情感分析

英文题名:Research on the Generation and Evolution Path of Public Opinion among Small-Town Youth——Based on Topic Modeling and Sentiment Analysis of Weibo Data

作者:朱琳[1];马佳良[2]

机构:[1]华东理工大学社会与公共管理学院;[2]华东理工大学社会与公共管理学院公共政策系

年份:2023

期号:4

起止页码:105

中文期刊名:信息技术与管理应用

外文期刊名:Information Technology and Management Application

基金:国家社会科学基金重大项目“数据中国背景下公共数据技术标准的法治体系研究”(21&ZD200)。

语种:中文

中文关键词:小镇做题家;网络公共舆论;社会分层;LDA模型;情感分析

外文关键词:Small-Town Swot;Online Public Opinion,Social Stratification;the LDA Model;Senti?ment Analysis

摘要:“小镇做题家”是近3年互联网平台的热议话题,不断引发舆论争议。研究运用LDA主题模型与SnowNLP情感分析方法,对38369条包含“小镇做题家”词条的微博博文进行机器学习分析,探究舆情的生成及演化路径。研究发现,网络舆情的核心议题包括“个体压力”、“资本凝视”与“社会分层”3方面,其中负向情感的比例呈上升趋势。“个体压力”受教育分配不均以及新冠疫情的影响,降低个体的主观幸福感;“资本凝视”所形成的个体差异则滋生其相对剥夺感;主观幸福感与相对剥夺感的交织使探讨社会分层的结构性问题成为可能。未来,政府部门应加大乡镇的数字化建设,培育数字创业和就业机会;推广在线教育资源,以弥补城镇地区教育资源的不足,拓宽职业发展路径;同时应建立舆情监测机制,稳定社会舆论,增强公民信任、凝聚社会共识。
“Small-Town Swot”has been a hot topic on the internet platforms in the past three years.Using the LDA topic model and SnowNLP sentiment analysis method,this paper conducted machine learning analysis on 38,369 Weibo posts containing the term“Small-Town Swot”to explore the generation and evolution path of public opinion.The results demonstrate that the core issues include“Individual Stress”,“Capital Gazing”and“Social Stratification”,with an increasing proportion of negative sentiment.“Individual Stress”is influenced by the uneven distribution of education and the impact of the COVID-19 pandemic,which results in a decrease in subjective well-being.The differences in individuals caused by“Capital Gazing”foster a sense of relative deprivation.The intertwining of subjective well-being and relative deprivation prompts discussions on social stratification.This paper clarifies the logic of network discourse generation of youth groups and effectively helps digital governance.In the future,the government should enhance the digitalization in rural towns to foster digital entrepreneurship and employment opportunities.It should also promote online educational resources to compensate for the inadequate access to education in rural areas and broaden career development paths.At the same time,the network monitoring system should be established to stabilize public opinion,enhance public trust and build social consensus.

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