乌克兰网络商业媒体:概念框架的形成

Viktoriia Nikytenko
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引用次数: 0

摘要

本文首次在乌克兰社会传播研究话语中,提出了乌克兰网络商业媒体实践中“社会经济问题”一词的定义。我们详细描述了乌克兰和国外科学话语中“媒体问题”和“专题专业化”概念定义的科学方法,并提出了我们自己对乌克兰在线商业媒体内容中“问题”和“社会经济主题”(SET)概念的定义,这些定义考虑了这些概念的复杂性。主要课题是利用组合结构建模的方法研究网络商业媒体内容中社会经济话题的形成。所提出的模型应该经过测试,并且可以被实践者积极地用于复杂的社会经济主题,将他们从纯经济学带入我们可以解决紧迫社会问题和问题的领域。这是在对在线商业媒体进行定性内容分析后实现的。这使我们能够确定主题准则选择的特殊性,并处理一个复杂的综合社会经济主题。本研究提出的方法论包括对“主题-主题导向”、“社会-经济主题”、“主题导向”等概念进行理论论证,形成包含社会-经济主题特征及其选择标准的媒体信息实验样本,对选定文本进行定性内容分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online business media of Ukraine: Forming a conceptual framework
In the article, for the first time in the Ukrainian social communications research discourse, we propose the definition of the term “social and economic issues” in the practice of Ukraine’s online business media. We described in detail the scientific approach to the definition of the concepts “media issues” and “thematic specialization” in Ukrainian and foreign scientific discourse and proposed our own definitions of the concepts “issues” and “socio-economic topic” (SET) in the content of Ukrainian online business media, which consider the complex nature of these concepts. The main subject was the formation of the socio-economic topic in the content of online business media using the method of compositional structure modeling. The presented model should be tested and can be actively used by practitioners to work on complex socio-economic topics to bring them out of pure economics into the realm where we can solve urgent social issues and problems. This became possible after conducting a qualitative content analysis of online business media. This enabled us to determine the peculiarities of thematic guidelines’ choice and work with a complex synthetic socio-economic topic. The methodology proposed in this study includes theoretical substantiation of the concepts “subject-thematic orientation,” “social-economic topic,” “thematic orientations,” formation of an experimental sample of media messages that contain features of the socio-economic topic and criteria for their selection, qualitative content analysis of selected texts.
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