Identification of Linguistic Indicators of Network Sociopolitical Discourse Using Text Mining

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Scientific and Technical Information Processing Pub Date : 2024-03-05 DOI:10.3103/s0147688223050076

O. G. Grigoriev, A. A. Chuganskaya, M. A. Stankevich

引用次数: 0

Abstract

This article examines sociopolitical discourse using a method of the intelligent analysis of texts on social and political psychology. A methodology for applying the tool in sociopolitical research is proposed. The most significant psycholinguistic indicators for comments on political and nonpolitical Russian YouTube channels are determined and analyzed.

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利用文本挖掘识别网络社会政治话语的语言指标

摘要本文采用社会和政治心理学文本智能分析方法研究社会政治话语。文章提出了在社会政治研究中应用该工具的方法。确定并分析了俄罗斯 YouTube 政治和非政治频道评论中最重要的心理语言学指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.00

自引率

42.90%

发文量

期刊介绍： Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.