The sharing economy and digital discrimination: The case of Airbnb

By Mingming Cheng, Carmel Foley. 2018

298 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/235e2ed10926e9350740011b0adba0bc5fe869b8

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Citations in the corpus

Attesting Biases and Discrimination using Language Semantics (2019, methodology): “uk/news/business-36129046 2 Note the term digital discrimination has also been used to define traditional discrimination practices facilitated by online information [7] or a discriminatory access”
Platform economies and urban planning: Airbnb and regulated deregulation in London (2018, background): “Concern around running ‘illegal hotels’ that circumvent rules and regulations protecting consumers around issues of safety, security and discrimination (Edelman and Luca, 2014) has been used by the established hospitality sector to demand regulation of the presence and expansion of the service.”
The Visible Host: Does race guide Airbnb rental rates in San Francisco? (2017, methodology): “The initial study by Edelman and Luca (2014) using the set of all Airbnb listings in New York City, identified the race of the hosts using their on-line listing photo.”
Scoping the Sharing Economy: Origins, Definitions, Impact and Regulatory Issues (2016, methodology): “A statistical analysis of a dataset constructed from Airbnb (combining pictures of all New York City landlords on Airbnb with their rental prices and information about the quality of the rentals) finds what can be seen as indirect evidence of racial discrimination (Edelman & Luca, 2014).”
Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity (2018, background): “Indeed, these platforms are already estimated to comprise a roughly $26 billion market (Malhotra and Van Alstyne 2014) and numerous studies have explored patterns of demand for services provided by gig-economy platforms (Edelman and Luca 2014, Greenwood and Wattal 2015, Zervas et al. 2015).”
Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2019, background): “Edelman and Luca (2014) and Edelman et al. (2017) document racially discriminatory behavior in an online rental market.”
Bias in word embeddings (2020, background): “For example, white hosts on online lodging marketplaces charge more than their non-white counterpart hosts [33].”
DEBATING THE SHARING ECONOMY (2016, background): “A recent study also reported evidence of racial discrimination among Airbnb users, finding that non-black hosts were able to charge 12% more than blacks for comparable properties.(18)”
Putting the sharing economy into perspective (2017, background): “One analysis of Airbnb in the United States found that male Afro-American Airbnb earn 12% less rent than other hosts for the same type of house in the same type of location (Edelman and Luca, 2014).”
AdaFair: Cumulative Fairness Adaptive Boosting (2019, background): “There is already a plethora of observed incidents regarding discrimination caused by AI-based decision making systems [9, 11, 16, 24, 31].”
Algorithmic bias? An empirical study into apparent gender-based discrimination in the display of STEM career ads (2019, background): “Edelman and Luca (2014) and Edelman et al. (2017) document racially discriminatory behavior in an online rental market.”