论文标题
一种估计Twitter用户个人社会经济状况的方法
A Method for Estimating Individual Socioeconomic Status of Twitter Users
论文作者
论文摘要
社交媒体的兴起为使用新的数据和方法探索社会科学问题的机会为探索社会科学问题。但是，关于社会经济不平等的研究仍受到数字痕量数据中个人级别的社会经济状况（SES）度量有限的限制。在布迪厄之后，我们认为商业和娱乐帐户用户遵循的商业和娱乐帐户反映了他们的经济和文化资本。调整政治科学方法来推断政治意识形态，我们使用信函分析来估算3,482,652个Twitter用户的SES，这些SES遵循美国339个品牌的帐户。我们通过Facebook Marketing API的数据，对用户Twitter配置文件的自我报告的工作头衔以及一个小的调查示例来验证我们的估计。结果显示了与SES的标准代理的合理相关性，以及与其他人口统计学变量较弱或无关紧要的相关性。提出的方法为Twitter和类似在线平台上的不平等现象开辟了新的机会。
The rise of social media has opened countless opportunities to explore social science questions with new data and methods. However, research on socioeconomic inequality remains constrained by limited individual-level socioeconomic status (SES) measures in digital trace data. Following Bourdieu, we argue that the commercial and entertainment accounts Twitter users follow reflect their economic and cultural capital. Adapting a political science method for inferring political ideology, we use correspondence analysis to estimate the SES of 3,482,652 Twitter users who follow the accounts of 339 brands in the United States. We validate our estimates with data from the Facebook Marketing API, self-reported job titles on users' Twitter profiles, and a small survey sample. The results show reasonable correlations with the standard proxies for SES, alongside much weaker or non-significant correlations with other demographic variables. The proposed method opens new opportunities for innovative social research on inequality on Twitter and similar online platforms.
