China is one of the very few countries in the world that managed to transform its online sphere both into a vibrant literary scene and into a tool of successful soft power. Some writers who represent the advent of online literature (wangluo wenxue) still enjoy best-selling and long-selling status. Despite that, the wide readership of such authors as Anni Baobei, Han Han or Murong Xuecun has not been followed by significant academic interest. This paper draws from the contribution made by Shao Yanjun to analyze whether the New-Style Literary Mechanisms (such as online literary forums) put forward by him shape textual features, and if so, whether these should be reflected in translation. The research combines literary criticism and translation theory perspectives to present some key features of Chinese Internet Literature by presenting an example of a popular short story authored by Anni Baobei Sisterhood (Qiyue yu Ansheng). The analysis of stylistic and linguistic characteristics of the translated excerpts is conducted from three perspectives: the specific text economy, unorthodox punctuation, and the attempt to recreate the mediatic realm of the source text conveyed inter alia through the approach to CSI (Culture-Specific Items). It is found that texts created under the new-style literary mechanism regime may influence the translation strategy and constitute the novelty of wangluo wenxue.
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Bibliographic databases have recently received increased attention from researchers which explore the possibilities of data-driven research based on bibliographical data. This paper briefly overviews the current state of digital literary studies and tries to summarize the development and current situation of data-driven research on bibliographical databases which led to the emergence of so-called bibliographical data science. The specific problems of quantitative research on bibliographical data both from the methodological as well as technical point of view are discussed in more detail and intensive dialogue between data curators and data researchers is advocated for. Subsequently, practical examples of bibliographical data analysis are shown on an example of the data from Czech Literary Internet database and the Statistical and Analytical module for bibliographical data analysis newly developed by the Czech Literary Bibliography research infrastructure is introduced.
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