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当大数据遭遇人性:兼论技术的断层与无奈
作者姓名:李炜炜
作者单位:(北京邮电大学人文学院, 北京 100876)
摘    要:在数据科学滥觞之初,“模型推动运营”还是“数据推动运营”就是学术界争论的焦点。时至今日,在“算法统治世界”的话语喧嚣中,我们依然需要清醒。当大数据遭遇人性,我们该如何应对技术的断层与无奈。在越来越多的人文社会科学都宣称进行大数据研究转向的语境下,我们更需要逆流而思,冷静分析大数据方法热下的人文社会科学研究方法的大作为。

关 键 词:大数据  人性  技术  研究方法
收稿时间:2017/6/12 0:00:00
修稿时间:2017/7/13 0:00:00

When Big Data Encounters Humanity: On the Fault and Helplessness of the Technology
Authors:Li Wei-wei
Institution:(School of Humanities, Beijing University of Posts and Telecommunications, Beijing 100876, China)
Abstract:The beginning of the data science has witnessed the heated argument between model-driven operation and data-driven operation in business. Up to now, among the noise of discourse of algorithm domination, we should still be sober towards the trend of big data. When big data encounters humanity, what can people reply to the helplessness of the technology? In a period when an increasing number of humanity and social sciences proclaim to turn to the big data research paradigm, humanity studies need to forge a level head and analyze the big data method in an objective way.
Keywords:big data  humanity  technology  research  method
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