信息社会的话语:心理学研究的结果与展望

Pub Date : 2022-04-01 DOI:10.31857/s020595920019409-5
N. Pavlova
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引用次数: 0

摘要

本文介绍了俄罗斯科学院心理研究所语言心理学和心理语言学实验室在信息技术发展条件下对语篇心理结构的研究。论述了话语研究的特点,论述了话语研究的各个方面及其在社会中的作用。本文考虑了互联网用户的事件讨论模式以及与话题、主导功能、对话者意图相关的事件后话语特征。本文提出了用话语指标研究网络社区主体性的方法,揭示了社区主体性作为一种动态属性,与网络话语的组织和发展水平直接相关。分析了正在传播的话语类型影响潜力的研究结果。特别关注了在2019冠状病毒病大流行背景下对社交媒体话语的研究数据,涉及对社区居民的心理状态及其当前意图的评估,以及提高信息和心理运动有效性的方法。意图分析和内容分析的原始方法方法的特点,其日益增长的重要性是由发展技术的前景来决定的,以自动处理媒体内容。©2022,俄罗斯科学院。版权所有。
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Discourse of the information society: results and prospects of psychological research
The article deals with the researches of the psychological structure of discourse in conditions of the development of information technologies, which are conducted in the Laboratory of speech psychology and psycholinguistics of the Institute of Psychology of the Russian Academy of Science. The characteristics of discourse approach is given, the current directions of research connected with various aspects of discourse and its functioning in society are described. The patterns of event discussions by Internet users and post-event discourse specifics, associated with the topic, the leading function, the interlocutors’ intentions, are considered. The approach to the study the subjectness of network communities by discursive indicators is presented, which reveals the subjectness of communities as a dynamic property directly related to the organization and level of development of network discourse. The results of study of the impact potential of the types of discourse, that are spreading, are analyzed. Particular attention is paid to the data of study of the social media discourse in the context of the COVID-19 pandemic, concerning the assessment of the psychological state of communi-cants and their current intentions, as well as ways to increase the effectiveness of information and psychological campaigns. Original methodological approaches of intent-analysis and content analysis are characterized, the growing importance of which is determined by the prospect of developing technologies for automatic pro-cessing of media content. © 2022, Russian Academy of Sciences. All rights reserved.
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