VIRTUAL SPACE AS A SOURCE OF PRIMARY SOCIAL INFORMATION

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Abstract

The rapid development of the Internet has had an unprecedented impact on the improvement of the sociological method. At the turn of the millennium, this has led to the search for a new methodology and a gradual loss of interest to use of quantitative methods, which was perceived by specialists as a "crisis of empirical sociology". In the last decade, it turned out that almost all social processes of any level find their reflection in the virtual space, leave and accumulate so-called "digital footprints", which opens to researchers the widest perspectives for study of social reality. This article considers the features of digital primary information and generalized approaches to its use in terms of quantitative methodology. The author emphasizes that the classical sociological methods, which are based on mathematical statistics, are suitable for the analysis of digital reality and getting adequate research results. At the same time, as noted by most authors, who have studied this subject, there are perspectives for improving traditional sociological methods through: 1) a combination of representativeness of quantitative and depth of qualitative approaches to information analysis; 2) in-depth collection of paradata; 3) opportunities to study hard-to-reach social groups; 4) opportunities to fully implement the "principle of freedom from evaluation" due to the "non-reactivity" of digital data; 5) the ordering of digital footprints in space and time by clearly fixing the hosting. The post-demographic model of the social actor opens new ways to build samples of quantitative sociological research, which may be representative in terms of the classical sociological approach. The examples of research from this article show that the classical sociological method easily to adapt for the new digital reality and can be the basis for sociological consulting, development of social technologies in various spheres of social life.
虚拟空间是主要的社会信息来源
互联网的飞速发展对社会学方法的改进产生了前所未有的影响。在世纪之交,这导致了对新方法的探索和对使用定量方法的逐渐丧失兴趣,这被专家们视为“经验社会学的危机”。近十年来,几乎所有层次的社会过程都在虚拟空间中得到了反映,留下并积累了所谓的“数字足迹”,这为研究者研究社会现实打开了最广阔的视野。本文考虑了数字原始信息的特点及其在定量方法方面的使用的一般方法。作者强调,以数理统计为基础的经典社会学方法适合于对数字现实的分析,并能得到充分的研究成果。与此同时,正如研究这一主题的大多数作者所指出的那样,传统社会学方法的改进有以下几个方面:1)定量分析方法的代表性与定性分析方法的深度相结合;2)深入收集para ata;3)研究难以接触到的社会群体的机会;4)由于数字数据的“非反应性”,有机会充分实施“不受评价原则”;5)通过明确地固定主机来排序数字足迹在空间和时间上的顺序。社会行动者的后人口统计学模型为建立定量社会学研究的样本开辟了新的途径,这在经典社会学方法方面可能具有代表性。本文的研究实例表明,经典的社会学方法很容易适应新的数字现实,可以作为社会学咨询的基础,在社会生活的各个领域发展社会技术。
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