论文标题
生成非/使用类型的方法
Methods for Generating Typologies of Non/use
论文作者
论文摘要
对技术不使用的先前研究表明，对用户和非用户之间的简单二进制区分的方法的必要性。本文提出了一组两种不同的方法，研究人员可以通过这些方法来识别与他们正在研究的特定社会技术环境相关的非/使用$^{1} $的类型。通过将它们应用于有关Facebook非/使用的数据来证明这些方法。结果表明，此处提出的不同方法确定了相当可比的非/使用类型。他们还说明了两种方法如何在产生类型学的粒度和总样本量之间产生不同的贸易折扣。本文还展示了如何将这些方法引起的不同类型用于预测建模，从而允许两种方法互相证实或否定确认。讨论考虑了这些方法的含义和应用，无论是用于对技术不/使用的研究以及更广泛地研究社会计算的研究。
Prior studies of technology non-use demonstrate the need for approaches that go beyond a simple binary distinction between users and non-users. This paper proposes a set of two different methods by which researchers can identify types of non/use$^{1}$ relevant to the particular sociotechnical settings they are studying. These methods are demonstrated by applying them to survey data about Facebook non/use. The results demonstrate that the different methods proposed here identify fairly comparable types of non/use. They also illustrate how the two methods make different trade offs between the granularity of the resulting typology and the total sample size. The paper also demonstrates how the different typologies resulting from these methods can be used in predictive modeling, allowing for the two methods to corroborate or disconfirm results from one another. The discussion considers implications and applications of these methods, both for research on technology non/use and for studying social computing more broadly.
