大数据时代的文学价值。在专业和非专业评审中操作临界距离

Q1 Arts and Humanities
M. Salgaro
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引用次数: 1

摘要

数字社交阅读、instapoet和网络评论中表达的“评分文化”等新现象挑战了报纸和期刊上的传统文学批评。亚马逊(Amazon)或Goodreads等平台上数以百万计的评论是这种参与文化的一部分,也是对专业批评的一种制衡。与此同时,鲁比•考尔(Rupi Kaur)等成功的微博作者拒绝接受“著名文学界”看门人的专业知识,而是试图与读者建立直接联系。本文的目的是建立适当的方法论框架,以捕捉这些变化在当前的文学系统。要做到这一点,网络评论现象必须在历史和赋予文学文本文学价值的实践中进行语境化,即所谓的册封。此外,文学理论需要能够分析定量数据,并将数字整合到模型中(参与一个称为操作化的过程)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Literary value in the era of big data. Operationalizing critical distance in professional and non-professional reviews
New phenomena such as digital social reading, instapoets, and the “rating culture” expressed in online reviews challenge traditional literary criticism in newspapers and journals. Millions of reviews on platforms such as Amazon or Goodreads are part of this culture of participation and a counterweight to professional criticism. At the same time, successful instapoets such as Rupi Kaur reject the expertise of the gatekeepers of “prestigious literary circles” and try to establish a direct connection with readers. The aim of this paper is to build the proper methodological framework to capture these changes in the current literary system. To do this, the phenomenon of online reviewing has to be contextualized within the history and the praxis of assigning literary value to literary texts, the so-called canonization. In addition, literary theory needs to be able to analyze quantitative data and to integrate numbers into its models (engaging in a procedure that is called operationalization).
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来源期刊
Journal of Cultural Analytics
Journal of Cultural Analytics Arts and Humanities-Literature and Literary Theory
CiteScore
2.90
自引率
0.00%
发文量
9
审稿时长
10 weeks
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