TY - JOUR
T1 - Racial formation, inequality and the political economy of web traffic
AU - McIlwain, Charlton
N1 - Funding Information:
Acknowledgments. This research has been partly supported by the EU project RobotDoc [12] under 235065 ROBOT-DOC from the 7th Framework Programme, Marie Curie Action ITN and by the KSERA project funded by the European
Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/7/3
Y1 - 2017/7/3
N2 - Few studies attempt to demonstrate whether and how systemic racial inequality might form on the web. I use racial formation theory to conceptualize how race is represented, and systematically reproduced on the web, and how both may reveal forms of racial inequality. Using an original dataset and network graph, I document the architecture of web traffic, and the actual traffic patterns among and between race-based websites. Results demonstrate that web producers create hyperlink networks that steer audiences to websites without respect to racial or nonracial content. However, user navigation reflects a racially segregated traffic pattern; users navigate to racialized versus nonracialized websites (and vice versa) more than what would be expected by chance. These results, along with disparities in website traffic rankings, provide evidence of, and demonstrates how a race-based hierarchy might systematically emerge on the web in ways that exemplify disparate forms of value, influence and power that exist within the web environment.
AB - Few studies attempt to demonstrate whether and how systemic racial inequality might form on the web. I use racial formation theory to conceptualize how race is represented, and systematically reproduced on the web, and how both may reveal forms of racial inequality. Using an original dataset and network graph, I document the architecture of web traffic, and the actual traffic patterns among and between race-based websites. Results demonstrate that web producers create hyperlink networks that steer audiences to websites without respect to racial or nonracial content. However, user navigation reflects a racially segregated traffic pattern; users navigate to racialized versus nonracialized websites (and vice versa) more than what would be expected by chance. These results, along with disparities in website traffic rankings, provide evidence of, and demonstrates how a race-based hierarchy might systematically emerge on the web in ways that exemplify disparate forms of value, influence and power that exist within the web environment.
KW - Internet
KW - algorithms
KW - inequality
KW - racial formation
KW - racial segregation
KW - social networks
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U2 - 10.1080/1369118X.2016.1206137
DO - 10.1080/1369118X.2016.1206137
M3 - Article
AN - SCOPUS:84978112037
SN - 1369-118X
VL - 20
SP - 1073
EP - 1089
JO - Information Communication and Society
JF - Information Communication and Society
IS - 7
ER -