The geography of segregated online social networks in the largest US cities

Balázs Lengyel, Eszter Bokányi and Sándor Juhász

Chapter 6 in Handbook on Big Data, Artificial Intelligence and Cities, 2025, pp 92-109 from Edward Elgar Publishing

Abstract: Cities are known for high levels of segregation that manifest in both online and offline environments. Far-reaching consequences of urban segregation include rising disparities, political polarization, and exposure to economic crises. In this chapter, we review the wide amount of literature on the emerging urban science discussion to provide an overview of modern data sources that can reveal the nature of segregation in cities. Our focus is on social interaction in urban spaces through mobility and social networks. Using geolocated Twitter messages in the 50 largest metropolitan areas in the US, we demonstrate how the data can quantify social networks around home and as a function of commuting to work. We argue that geotagged social media data enable us to better understand the spatial scale of segregation and the potential mitigation of inequalities through mixing and inclusion. The chapter presents the benefits and limitations of these data sources and discusses potential future research.

Keywords: Social media; Segregation; Urban mobility; Income; Commuting; Social networks (search for similar items in EconPapers)
Date: 2025
ISBN: 9781803928043
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781803928050.00013 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:21797_6

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().