The DOI matches its Crossref record.
Use of Black English and Racial Discrimination in Urban Housing Markets: New Methods and Findings
Abstract
The authors argue that racial discrimination in housing markets need not involve personal contact between agents and renters. Research indicates that Americans can infer race from speech patterns alone, thus offering rental agents an opportunity to discriminate over the phone. To test this hypothesis, the authors designed an audit study to compare male and female speakers of White Middle-Class English, Black Accented English, and Black English Vernacular. The study was conducted during the spring of 1999 in the Philadelphia metropolitan area. The authors found significant racial discrimination that was often exacerbated by class and gender. Poor black women, in particular, experienced the greatest discrimination.
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Citations
Cited by
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Pager, D., & Quillian, L. (2005) · American Sociological Review · doi:10.1177/000312240507000301 · Cited by 640
A Life Course Perspective on How Racism May Be Related to Health Inequities
Gee, G. C., Walsemann, K. M., & Brondolo, E. (2012) · American Journal of Public Health · doi:10.2105/ajph.2012.300666 · Cited by 547
A multidisciplinary survey on discrimination analysis
Romei, A., & Ruggieri, S. (2014) · The Knowledge Engineering Review · doi:10.1017/s0269888913000039 · Cited by 288
Temporal Distance and Discrimination: An Audit Study in Academia
Milkman, K. L., Akinola, M., & Chugh, D. (2012) · Psychological Science · doi:10.1177/0956797611434539 · Cited by 267
AI generates covertly racist decisions about people based on their dialect
Hofmann, V., Kalluri, P. R., Jurafsky, D., & King, S. (2024) · Nature · doi:10.1038/s41586-024-07856-5 · Cited by 233
Metadata
- Authors
- Massey, D. S., & Lundy, G.
- Venue
- Urban Affairs Review
- Publisher
- SAGE Publications
- Published
- 2001-03
- Volume
- 36
- Issue
- 4
- Pages
- 452-469
- ISSN
- 1078-0874 (ISSN-L)
- 1552-8332
- OpenAlex
- W2001665854
- Cited by
- 271
- References
- 0
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
