Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?

Boeing, Geoff; Besbris, Max; Schachter, Ariela; Kuk, John

doi:10.1080/10511482.2019.1684336

Cited by 42 publications

(24 citation statements)

References 44 publications

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“…Predominantly White neighborhoods have a larger share of advertised listings, suggesting that online listings and information are segregated along class and racial lines (Boeing 2020;Boeing et al, 2021;Brannon 2017). This implies that access to rental information is unequal to all individuals, making online housing markets unevenly segmented.…”

Section: Discrimination In Digital Rental Platformsmentioning

confidence: 99%

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Spatial Variations in Exclusionary Criteria from Online Rental Advertisements

Adu¹,

Delmelle²

2022

Preprint

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While the Fair Housing Act prohibits discrimination in the rental housing market on the basis of race, color, or religion, there exist ample opportunities for landlords to restrict their rental units to individuals with various backgrounds using exclusionary screening practices. These criteria, such as minimum credit scores, criminal history, source of income, or prior evictions, for instance, are often correlated with race and thus hold the potential to perpetuate spatial patterns of racial and income segregation. In this article, we analyzed online rental listings from Zillow and Craigslist in a case study of Charlotte, North Carolina to examine the proliferation and spatial variation in exclusionary criteria by neighborhood race and income. Overall, we found criminal background, credit score, housing voucher, eviction, and minimum income restrictions to be greater in poorer and minority neighborhoods. However, when distinguishing by platform, we found the presence of corporate landlords, who did not advertise on Craigslist, to be a significant driver of these results. Corporate landlords represented nearly 60 percent of advertisements on Zillow and were more common in poorer and minority neighborhoods - they also systematically included nearly all restrictions. Craigslist, by contrast, had fewer criteria that correlated with race and income.

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Section: Discrimination In Digital Rental Platformsmentioning

confidence: 99%

“…Minorities tend to have less information when searching for properties to rent. As these discriminatory patterns persist, digital platforms risk reproducing historical patterns of residential segregation (Boeing et al, 2021). Recent research has also uncovered differences in online rental platforms.…”

Section: Discrimination In Digital Rental Platformsmentioning

confidence: 99%

Spatial Variations in Exclusionary Criteria from Online Rental Advertisements

Adu¹,

Delmelle²

2022

Preprint

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“…For example, advertisements for rental housing on Craigslist must contain advertised rent and a textual description of the rental unit (Besbris et al, in press;Kennedy et al, 2020). The vast majority also contain an exact address or easily geocoded location on a map embedded in the ad, pictures of the unit, and specific information about the pet policy, access to laundry services, the square footage, and the number of bedrooms and bathrooms (Boeing et al, 2021). Despite their advantages, propriety data sets are not perfect representations of the rental market writ large (Boeing, 2020).…”

Section: The Rental Marketmentioning

confidence: 99%

The COVID-19 Pandemic and the Rental Market: Evidence From Craigslist

Kuk

Schachter

Faber

et al. 2021

American Behavioral Scientist

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Past research has demonstrated the racially and spatially uneven impacts of economic shocks and environmental disasters on various markets. In this article, we examine if and how the first few months of the COVID-19 pandemic affected the market for rental housing in the 49 largest metropolitan areas in the United States. Using a unique data set of new rental listings gathered from Craigslist and localized measures of the pandemic’s severity we find that, from mid-March to early June, local spread of COVID-19 is followed by reduced median and mean rent. However, this trend is driven by dropping rents for listings in Black, Latino, and diverse neighborhoods. Listings in majority White neighborhoods experience rent increases during this time. Our analyses make multiple contributions. First, we add to the burgeoning literature examining the rental market as a key site of perpetuating sociospatial inequality. Second, we demonstrate the utility of data gathered online for analyzing housing. And third, by reflecting on research that shows how past crises have increased sociospatial inequality and up-to-date work showing the racially and spatially unequal effects of the COVID-19 pandemic, we discuss some possible mechanisms by which the pandemic may be affecting the market for rental housing as well as implications for long-term trends.

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“…Modern information technology has brought many changes to the development of education, and at the same time, the impact of changes in information technology has gradually risen to the national level [15]. According to the educational development planning documents released by the education department in China, information technology will play an important role in influencing the development of education, and information technology needs to lead education to modernization and drives changes in education [16].…”

Section: Current Status Of Researchmentioning

confidence: 99%

Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

Jia

2021

Wireless Communications and Mobile Computing

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This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.

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Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?

Cited by 42 publications

References 44 publications

Spatial Variations in Exclusionary Criteria from Online Rental Advertisements

Spatial Variations in Exclusionary Criteria from Online Rental Advertisements

The COVID-19 Pandemic and the Rental Market: Evidence From Craigslist

Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

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