Jensen Eric Allen
Department of Sociology, University of Warwick, Coventry, United Kingdom.
PLoS One. 2017 Sep 7;12(9):e0180080. doi: 10.1371/journal.pone.0180080. eCollection 2017.
With the rapid global proliferation of social media, there has been growing interest in using this existing source of easily accessible 'big data' to develop social science knowledge. However, amidst the big data gold rush, it is important that long-established principles of good social research are not ignored. This article critically evaluates Mitchell et al.'s (2013) study, 'The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place', demonstrating the importance of attending to key methodological issues associated with secondary data analysis.
随着社交媒体在全球范围内的迅速扩散，人们越来越有兴趣利用这一现有的易于获取的“大数据”来源来发展社会科学知识。然而，在大数据热潮中，重要的是不能忽视社会研究长期确立的良好原则。本文批判性地评估了米切尔等人（2013年）的研究《幸福的地理分布：连接推特情绪与表达、人口统计学及地点的客观特征》，论证了关注与二手数据分析相关的关键方法问题的重要性。
