Bias in Online Freelance Marketplaces: Evidence from TaskRabbit and Fiverr

被引:141
作者
Hannak, Aniko [1 ]
Wagner, Claudia [2 ,3 ]
Garcia, David [4 ]
Mislove, Alan [1 ]
Strohmaier, Markus [2 ,3 ]
Wilson, Christo [1 ]
机构
[1] Northeastern Univ, Boston, MA 02115 USA
[2] GESIS Leibniz Inst Social Sci, Mannheim, Germany
[3] Univ Koblenz Landau, Mainz, Germany
[4] Swiss Fed Inst Technol, Zurich, Switzerland
来源
CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING | 2017年
基金
美国国家科学基金会;
关键词
Gig economy; discrimination; information retrieval; linguistic analysis; GENDER; DISCRIMINATION; WOMEN;
D O I
10.1145/2998181.2998327
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Online freelancing marketplaces have grown quickly in recent years. In theory, these sites offer workers the ability to earn money without the obligations and potential social biases associated with traditional employment frameworks. In this paper, we study whether two prominent online freelance marketplaces TaskRabbit and Fiverr are impacted by racial and gender bias. From these two platforms, we collect 13,500 worker profiles and gather information about workers' gender, race, customer reviews, ratings, and positions in search rankings. In both marketplaces, we find evidence of bias: we find that perceived gender and race are significantly correlated with worker evaluations, which could harm the employment opportunities afforded to the workers. We hope that our study fuels more research on the presence and implications of discrimination in online environments.
引用
收藏
页码:1914 / 1933
页数:20
相关论文
共 66 条
[1]  
Aleo Michael, 2008, BU PUB INT LJ, V18
[2]  
Altonji J.G., 1999, Handbook of Labor Economics, P3144, DOI DOI 10.1016/S1573-4463(99)30039-0
[3]  
[Anonymous], 2015, P 33 ANN ACM C HUM F
[4]  
[Anonymous], 2010, INT 2020 REP
[5]  
[Anonymous], 2015, GUARDIAN
[6]  
[Anonymous], P DAT DISCR CONV CRI
[7]  
[Anonymous], NATL VITAL STAT REP
[8]  
[Anonymous], 2014 INT C AUG 26 29
[9]  
[Anonymous], 2009, NATURAL LANGUAGE PRO, DOI DOI 10.1007/S10579-010-9124-X
[10]  
[Anonymous], 2016, TaskRabbit