Digital inequality and neighborhood divides in online social networks in Chicago

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Titel: Digital inequality and neighborhood divides in online social networks in Chicago
Autoren: Karl Vachuska
Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)
Verlagsinformationen: Nature Portfolio, 2025.
Publikationsjahr: 2025
Bestand: LCC:Medicine
LCC:Science
Schlagwörter: Social network analysis, Social media data, Neighborhoods, Racial inequality, Medicine, Science
Beschreibung: Abstract The use of social media has increasingly become a central part of how individuals access and disseminate information. Because the United States is heavily stratified by place, which social media can transcend, some have suggested that social media may alleviate spatial inequalities. The present study builds on this notion by exploring the relationship between Twitter networks and neighborhood and racial inequality in access to information in the city of Chicago. Combining public records with Twitter data, I constructed a geocoded network of 86,336 Chicago Twitter users. My findings indicate that users in Black and Hispanic neighborhoods tend to be less connected to the network, both in terms of out-degree and in-degree, suggesting a potential divide in terms of information access and dissemination. I further identify two mechanisms that likely facilitate the segregation of information between different racial groups: racial homophily in Twitter following and racial selection in message transmission. This study highlights the need to further explore the intersections of race, place, and social media in understanding inequalities in the digital age.
Publikationsart: article
Dateibeschreibung: electronic resource
Sprache: English
ISSN: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-025-02261-y
Zugangs-URL: https://doaj.org/article/4bff11d971d94dbc8c73907b0a065df2
Dokumentencode: edsdoj.4bff11d971d94dbc8c73907b0a065df2
Datenbank: Directory of Open Access Journals
Beschreibung
Abstract:Abstract The use of social media has increasingly become a central part of how individuals access and disseminate information. Because the United States is heavily stratified by place, which social media can transcend, some have suggested that social media may alleviate spatial inequalities. The present study builds on this notion by exploring the relationship between Twitter networks and neighborhood and racial inequality in access to information in the city of Chicago. Combining public records with Twitter data, I constructed a geocoded network of 86,336 Chicago Twitter users. My findings indicate that users in Black and Hispanic neighborhoods tend to be less connected to the network, both in terms of out-degree and in-degree, suggesting a potential divide in terms of information access and dissemination. I further identify two mechanisms that likely facilitate the segregation of information between different racial groups: racial homophily in Twitter following and racial selection in message transmission. This study highlights the need to further explore the intersections of race, place, and social media in understanding inequalities in the digital age.
ISSN:20452322
DOI:10.1038/s41598-025-02261-y