QWERTY对网络的影响:打字如何在在线人机交互中塑造单词的意义

David García, M. Strohmaier
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引用次数: 4

摘要

QWERTY效应假设键盘布局通过将正面与使用右手和负面与使用左手联系起来来影响单词含义。例如,先前的研究已经确定,在小规模实验中,人类受试者对右手字母较多的单词的评价比左手字母较多的单词更积极。在本文中,我们对网络上的QWERTY效应进行了大规模的调查。利用11个与产品、电影、书籍和视频相关的网络平台的数据,我们对网络用户的文本解释是否存在手-意关系进行了观察性测试。此外,我们通过在另外四个数据集中分析在线评论文本与其星级评分之间的关系,研究了在网络上编写文本是否也表现出QWERTY效应。总的来说,我们在文本解释(解码)和文本创建(编码)方面都找到了QWERTY效应的有力证据。我们还发现在哪些条件下效果可能不成立。我们的发现对任何旨在评估网络上单词含义的算法方法都有启示,包括例如语义或情感分析,并显示了“动态拟声词”的存在,这些拟声词塑造了单词含义关联的动态。据我们所知,这是第一个揭示QWERTY效应在网络上大规模人机交互中存在的程度的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The QWERTY Effect on the Web: How Typing Shapes the Meaning of Words in Online Human-Computer Interaction
The QWERTY effect postulates that the keyboard layout influences word meanings by linking positivity to the use of the right hand and negativity to the use of the left hand. For example, previous research has established that words with more right hand letters are rated more positively than words with more left hand letters by human subjects in small scale experiments. In this paper, we perform large scale investigations of the QWERTY effect on the web. Using data from eleven web platforms related to products, movies, books, and videos, we conduct observational tests whether a hand-meaning relationship can be found in text interpretations by web users. Furthermore, we investigate whether writing text on the web exhibits the QWERTY effect as well, by analyzing the relationship between the text of online reviews and their star ratings in four additional datasets. Overall, we find robust evidence for the QWERTY effect both at the point of text interpretation (decoding) and at the point of text creation (encoding). We also find under which conditions the effect might not hold. Our findings have implications for any algorithmic method aiming to evaluate the meaning of words on the web, including for example semantic or sentiment analysis, and show the existence of "dactilar onomatopoeias" that shape the dynamics of word-meaning associations. To the best of our knowledge, this is the first work to reveal the extent to which the QWERTY effect exists in large scale human-computer interaction on the web.
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