TY - JOUR
T1 - The Datafication of #MeToo
T2 - Whiteness, Racial Capitalism, and Anti-Violence Technologies
AU - Henne, Kathryn
AU - Shelby, Renee
AU - Harb, Jenna
N1 - Funding Information:
The value derived from these apps is not simply economic. Racial commodification generates capital that has social, cultural, and human dimensions. Capital that supports favourable social status and reputation can also attract new economic resources. For example, in 2018, Callisto received the Skoll Award for Social Entrepreneurship, which awards “social entrepreneurs who take the risks to right the most unjust systems” with $1.25 million USD in grant funding (). While grant funds support Callisto's operation, such awards also provide social capital through reputation enhancement and extended networks. More broadly, prestigious awards, which often come from primarily white foundation funders, can be leveraged in other fundraising efforts in which having prior awards is helpful in winning new awards and grants from other primarily white funders.
Publisher Copyright:
© The Author(s) 2021.
PY - 2021/7
Y1 - 2021/7
N2 - This article illustrates how racial capitalism can enhance understandings of data, capital, and inequality through an in-depth study of digital platforms used for intervening in gender-based violence. Specifically, we examine an emergent sociotechnical strategy that uses software platforms and artificial intelligence (AI) chatbots to offer users emergency assistance, education, and a means to report and build evidence against perpetrators. Our analysis details how two reporting apps construct data to support institutionally legible narratives of violence, highlighting overlooked racialised dimensions of the data capital generated through their use. We draw attention to how they reinforce property relations built on extraction and ownership, capital accumulation that reinforces benefits derived through data property relations and ownership, and the commodification of diversity and inclusion. Recognising these patterns are not unique to anti-violence apps, we reflect on how this example aids in understanding how racial capitalism becomes a constitutive element of digital platforms, which more generally extract information from users, rely on complex financial partnerships, and often sustain problematic relationships with the criminal legal system. We conclude with a discussion of how racial capitalism can advance scholarship at the intersections of data and power.
AB - This article illustrates how racial capitalism can enhance understandings of data, capital, and inequality through an in-depth study of digital platforms used for intervening in gender-based violence. Specifically, we examine an emergent sociotechnical strategy that uses software platforms and artificial intelligence (AI) chatbots to offer users emergency assistance, education, and a means to report and build evidence against perpetrators. Our analysis details how two reporting apps construct data to support institutionally legible narratives of violence, highlighting overlooked racialised dimensions of the data capital generated through their use. We draw attention to how they reinforce property relations built on extraction and ownership, capital accumulation that reinforces benefits derived through data property relations and ownership, and the commodification of diversity and inclusion. Recognising these patterns are not unique to anti-violence apps, we reflect on how this example aids in understanding how racial capitalism becomes a constitutive element of digital platforms, which more generally extract information from users, rely on complex financial partnerships, and often sustain problematic relationships with the criminal legal system. We conclude with a discussion of how racial capitalism can advance scholarship at the intersections of data and power.
KW - AI
KW - Racial capitalism
KW - data capital
KW - data justice
KW - sexual violence
KW - whiteness
UR - http://www.scopus.com/inward/record.url?scp=85121761289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85121761289&partnerID=8YFLogxK
U2 - 10.1177/20539517211055898
DO - 10.1177/20539517211055898
M3 - Article
AN - SCOPUS:85121761289
SN - 2053-9517
VL - 8
JO - Big Data and Society
JF - Big Data and Society
IS - 2
ER -