Racial disparities in the sharing economy: Evidence from more than 100,000 Airbnb hosts across 14 countries

Jaeger, Bastian; Sleegers, Willem

doi:10.31234/osf.io/qusxf

Cited by 5 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, a study on Airbnb revealed that hosts who had never hosted African American guests were less likely to accept guests with African American names compared to those with White names (Edelman et al, 2017). Another analysis showed that non-White hosts charge 2.5-3% lower prices for similar listings, while Black and Asian hosts charge approximately 5-7% and 4-6% less respectively (Jaeger and Sleegers, 2020). It was also found that discrimination between hosts and guests on Airbnb is reciprocal, with specific topics in reviews and self-descriptions significantly associated with discrimination (Zhang et al, 2022).…”

Section: Consumer Fairness: Individual and Group Discriminationsmentioning

confidence: 97%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

View full text Add to dashboard Cite

Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

show abstract

Section: Consumer Fairness: Individual and Group Discriminationsmentioning

confidence: 97%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

View full text Add to dashboard Cite

show abstract

“…Airbnb Non-White hosts charge lower prices for qualitatively similar rentals than white hosts (Jaeger and Sleegers, 2020) The presence of ethnic groups (Maghreb and South America) in the neighborhood negatively impacts Airbnb listing price in M alaga, Spain (Chica-Olmo et al, 2020) The listing price of Airbnb Hispanic and Asian hosts are on average lower relative to their White counterparts in San Francisco (Kakar et al, 2016(Kakar et al, , 2018 Asian hosts on average earn less per week compared to White hosts for similar Airbnb rentals (Wang et al, 2015)…”

Section: ) Minoritymentioning

confidence: 99%

Determinants of rental strategy: short-term vs long-term rental strategy

Shokoohyar

Sobhani

2020

IJCHM

View full text Add to dashboard Cite

Purpose Short-term rental option enabled via accommodation sharing platforms is an attractive alternative to conventional long-term rental. The purpose of this study is to compare rental strategies (short-term vs long-term) and explore the main determinants for strategy selection. Design/methodology/approach Using logistic regression, this study predicts the rental strategy with the highest rate of return for a given property in the City of Philadelphia. The modeling result is then compared with the applied machine learning methods, including random forest, k-nearest neighbor, support vector machine, naïve Bayes and neural networks. The best model is finally selected based on different performance metrics that determine the prediction strength of underlying models. Findings By analyzing 2,163 properties, the results show that properties with more bedrooms, closer to the historic attractions, in neighborhoods with lower minority rates and higher nightlife vibe are more likely to have a higher return if they are rented out through short-term rental contract. Additionally, the property location is found out to have a significant impact on the selection of the rental strategy, which emphasizes the widely known term of “location, location, location” in the real estate market. Originality/value The findings of this study contribute to the literature by determining the neighborhood and property characteristics that make a property more suitable for the short-term rental vs the long-term one. This contribution is extremely important as it facilitates differentiating the short-term rentals from the long-term rentals and would help better understanding the supply-side in the sharing economy-based accommodation market.

show abstract

“…For example, a study on Airbnb revealed that hosts who had never hosted African American guests were less likely to accept guests with African American names compared to those with White names (Edelman et al, 2017 ). Another analysis showed that non-White hosts charge 2.5–3% lower prices for similar listings, while Black and Asian hosts charge approximately 5–7% and 4–6% less respectively (Jaeger and Sleegers, 2020 ). It was also found that discrimination between hosts and guests on Airbnb is reciprocal, with specific topics in reviews and self-descriptions significantly associated with discrimination (Zhang et al, 2022 ).…”

Section: Individual Stakeholder Fairness In Trsmentioning

confidence: 99%

A review on individual and multistakeholder fairness in tourism recommender systems

2023

View full text Add to dashboard Cite

The growing use of Recommender Systems (RS) across various industries, including e-commerce, social media, news, travel, and tourism, has prompted researchers to examine these systems for any biases or fairness concerns. Fairness in RS is a multi-faceted concept ensuring fair outcomes for all stakeholders involved in the recommendation process, and its definition can vary based on the context and domain. This paper highlights the importance of evaluating RS from multiple stakeholders' perspectives, specifically focusing on Tourism Recommender Systems (TRS). Stakeholders in TRS are categorized based on their main fairness criteria, and the paper reviews state-of-the-art research on TRS fairness from various viewpoints. It also outlines the challenges, potential solutions, and research gaps in developing fair TRS. The paper concludes that designing fair TRS is a multi-dimensional process that requires consideration not only of the other stakeholders but also of the environmental impact and effects of overtourism and undertourism.

show abstract

Racial disparities in the sharing economy: Evidence from more than 100,000 Airbnb hosts across 14 countries

Cited by 5 publications

References 22 publications

Reviews in Recommender Systems: 2022

Reviews in Recommender Systems: 2022

Determinants of rental strategy: short-term vs long-term rental strategy

A review on individual and multistakeholder fairness in tourism recommender systems

Contact Info

Product

Resources

About