Mode Effects’ Challenge to Authorship Attribution
Mode Effects’ Challenge to Authorship Attribution
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DOI：
10.18653/v1/2021.eacl-main.97
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Haining Wang;A. Riddell;P. Juola
中科院分区：
文献类型：
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作者：
Haining Wang;A. Riddell;P. Juola
作者归属的成功依赖于个体作者特有的语言特征的存在。然而，当个人从一种写作模式转换到另一种写作模式时，作者风格在多大程度上保持不变的研究有限。我们衡量的写作模式对写作风格的影响，在作者归属研究的背景下，使用语料库的文件组成的在线（在网络浏览器）和离线使用传统的文字处理器组成的文件。研究结果证实了作者风格存在“模式效应”。在线写作在句子长度、用词、可读性和某些词性比例方面与离线写作有系统的不同。这些发现对作者身份归因研究的研究设计和特征工程具有启示意义。
The success of authorship attribution relies on the presence of linguistic features specific to individual authors. There is, however, limited research assessing to what extent authorial style remains constant when individuals switch from one writing modality to another. We measure the effect of writing mode on writing style in the context of authorship attribution research using a corpus of documents composed online (in a web browser) and documents composed offline using a traditional word processor. The results confirm the existence of a “mode effect” on authorial style. Online writing differs systematically from offline writing in terms of sentence length, word use, readability, and certain part-of-speech ratios. These findings have implications for research design and feature engineering in authorship attribution studies.