Environmental digital conflicts: Spanish-, german-, and russian-speaking actors

IF 3 Q1 COMMUNICATION Revista Latina de Comunicacion Social Pub Date : 2021-11-25 DOI:10.4185/rlcs-2021-1527
M. Pilgun, Alexei Rashodchikov, Olga Koreneva Antonova
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引用次数: 1

Abstract

Introduction. Almost all significant social communications are moving to virtual spaces. Thus, environmental conflicts play an increasingly important role in public life, as civic activity in solving environmental problems grows. The development of eco-territorial conflicts and requests for their social reactions lead to the emergence of digital conflict zones, sectors of the media space in which the current environmental agenda is discussed by a wide range of users. The analysis of conflicts in the digital environment is truly relevant and can be performed using neural network technologies. Methodology. Big data obtained from social media has become an important source of analysis of social processes, behavioral characteristics, speech perception, society's assessment of events and phenomena. The purpose of the work was to determine the specifics of perception in the media space of environmental conflicts in urban planning and construction. To analyze digital content, a multimodal approach was used along with neural network technologies, text analysis, sentiment analysis, analysis of word associations. The research data was collected using Brand Analytics and the corpus Sketch Engine. Content analysis was carried out using the multilingual technology of neural networks TextAnalyst 2.3. and visual analysis using the Tableau platform. Results and Conclusions. As a result of the study, common and different signs of the development of digital conflict zones related to environmental problems in the Spanish, German and Russian-speaking media space were identified.
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环境数字冲突:西班牙语、德语和俄语演员
介绍几乎所有重要的社交交流都转移到了虚拟空间。因此,随着解决环境问题的公民活动的增加,环境冲突在公共生活中发挥着越来越重要的作用。生态-领土冲突的发展及其对其社会反应的要求导致了数字冲突区的出现,这是媒体空间的一个部门,广泛的用户在其中讨论当前的环境议程。数字环境中的冲突分析确实是相关的,可以使用神经网络技术进行。方法论从社交媒体获得的大数据已成为分析社会过程、行为特征、言语感知、社会对事件和现象评估的重要来源。这项工作的目的是确定媒体空间对城市规划和建设中环境冲突的感知细节。为了分析数字内容,使用了多模式方法以及神经网络技术、文本分析、情感分析和单词关联分析。研究数据是使用品牌分析和语料库草图引擎收集的。使用神经网络TextAnalyst 2.3的多语言技术进行内容分析。以及使用Tableau平台进行可视化分析。结果和结论。研究的结果是,在西班牙语、德语和俄语媒体领域,发现了与环境问题有关的数字冲突区发展的共同和不同迹象。
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来源期刊
CiteScore
6.70
自引率
3.30%
发文量
55
审稿时长
10 weeks
期刊介绍: Information not localized
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