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Large-Scale Log Analysis of Digital Reading

机译:数字阅读大规模日志分析

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摘要

In this paper, we address daily reading practices of the general public in Russia analyzing 10 months of log data from the commercial ebook site Bookmate. We study different reading characteristics with ebooks, i.e. the reading volume and preferences, reading schedule, reading speed and reading style (including parallel reading patterns and book abandonment rates), with respect to reader gender, book length and genre of the book. We find that book genres impact certain reading behaviors, while gender differences or book length seem to play less of a role in ebook reading. Parallel book reading and book abandonment occur very frequently, possibly pointing towards changing reading behaviors in the ebook environment. The obtained insights demonstrate the high potential of log analysis for book reading studies.
机译:在本文中,我们解决了俄罗斯公众的日常阅读实践,分析了来自商业电子书站点账户的10个月的日志数据。我们使用电子书进行不同的阅读特征,即阅读量和偏好,阅读时间表,读取速度和读写(包括并行阅读模式和书籍放弃率),了解读者性别,书籍长度和书籍类型。我们发现书籍类型影响某些阅读行为,而性别差异或书籍长度似乎在电子书阅读中发挥较少。平行书籍阅读和书籍放弃非常频繁地发生,可能指向在电子书环境中更改阅读行为。所获得的见解证明了书籍阅读研究的日志分析的高潜力。

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