Database “Pro-family (pronatalist) communities in the social network VKontakte”

Q2 Social Sciences Naselenie i ekonomika Pub Date : 2020-12-18 DOI:10.3897/popecon.4.e60915
I. Kalabikhina, E. Banin
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引用次数: 4

Abstract

The database contains uploading text comments from the social network VKontakte in .csv format (UTF-8 encoding). The comments are collected from communities discussing pregnancy, childhood, motherhood, etc. Uploading contains comments to posts with which the interaction took place. The absolute number of likes was used as a criterion (comments were collected where the number of likes is greater than or equal to 5). Text data was pre-processed (stemmization and lemmatization). The data is suitable for thematic analysis (e.g. LDA – Latent Dirichlet Allocation), for modelling the graph structure of communities (the link_comment variable contains a unique post identifier, link_author contains a unique user identifier), for analysis of tonalities of statements and formation of a dictionary of demographic connotation in Russian. Analysis of the tonalities of statements enables measuring the dynamics of “demographic temperature” in pro-family (pronatalist) communities.
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数据库“VKontakte社交网络中的亲家庭(出生前)社区”
该数据库包含社交网络VKontakte上传的文本评论,格式为。csv (UTF-8编码)。这些评论是从讨论怀孕、童年、母性等问题的社区收集的。上传包含对发生交互的帖子的评论。以绝对点赞数为标准(收集点赞数大于等于5的评论)。文本数据进行预处理(干化和词序化)。这些数据适用于专题分析(例如LDA - Latent Dirichlet Allocation)、社区图结构建模(link_comment变量包含唯一的帖子标识符,link_author包含唯一的用户标识符)、语句语调分析和俄语人口统计内涵词典的形成。对陈述语气的分析可以测量亲家庭(生育主义)社区中“人口温度”的动态。
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来源期刊
Naselenie i ekonomika
Naselenie i ekonomika Social Sciences-Gender Studies
CiteScore
2.10
自引率
0.00%
发文量
19
审稿时长
12 weeks
期刊最新文献
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