Evidence map›Paper›PMID 40593982›Full record

ArticleScientific reports2025

Digital inequality and neighborhood divides in online social networks in Chicago.

Karl Vachuska

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Karl VachuskaDepartment of Sociology, University of Wisconsin-Madison, Madison, WI, USA. vachuska@wisc.edu.

Funding

Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
Diversity supplementT32HD007014 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 1985 to 2026
$6.8M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873NICHD NIH HHS T32 HD007014
6 · The paper itself

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.

Indexed as

Digital DivideNeighborhood CharacteristicsOnline Social NetworkingSocial MediaSocial NetworkingBlack or African AmericanChicagoHispanic or LatinoHumansSocioeconomic FactorsNeighborhoodsRacial inequalitySocial media dataSocial network analysis

Identifiers

PMID40593982
PMCPMC12217712

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.