论文标题
如何衡量Facebook上的音乐偏好？混合方法收集的证据
How to measure musical preference on Facebook? Evidence from a mixed-method data collection
论文作者
论文摘要
越来越多的数字数据可用于社会科学分析。这提供了测量几个概念的新方法。但是，当我们开始使用新的数据源时，我们必须了解如何处理新的数据源以及如何有效分析。由于没有建立的黄金标准分析框架，因此特别是对于Facebook数据。但是，研究人员对如何使用调查数据来衡量不同概念有深入的了解。因此，通过调查数据将Facebook数据交叉引用是支持不同决策点的Facebook数据分析的合理方法。在本文中，我们介绍了如何通过Facebook数据来衡量音乐偏好，以及调查数据如何支持主要指标的选择。根据我们的结果，我们为Facebook数据处理和指标操作提供了一些一般建议。
More and more digital data is available for social science analysis. This provides new ways of measuring several concepts. But when we start using new data sources, we have to understand how the new data source could be processed and how it could be analysed effectively. It is especially for Facebook data since there is no established gold standard analysis-framework. However, researchers have in-depth knowledge on how to measure different concepts using survey data. Thus, cross-referencing Facebook data with survey data is a reasonable way to support Facebook data analysis at different decision points. In this paper, we present how music preference could be measured by Facebook data and how survey data could support the selection of main indicators. Based on our results, we provide some general suggestions for Facebook data processing and indicator operationalization.
