2022
DOI: 10.1177/20539517211067948
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The data will not save us: Afropessimism and racial antimatter in the COVID-19 pandemic

Abstract: The Trump Administration's governance of COVID-19 racial health disparities data has become a key front in the viral war against the pandemic and racial health injustice. In this paper, I analyze how the COVID-19 pandemic joins an already ongoing racial spectacle and system of structural gaslighting organized around “racial health disparities” in the United States and globally. The field of racial health disparities has yet to question the domain assumptions that uphold its field of investigation; as a result,… Show more

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Cited by 12 publications
(11 citation statements)
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References 68 publications
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“…This research thus lends empirical support to the Black Public Health Collective’s (2020) declaration that “race-based data are not racial justice,” recognizing technological effects may be paradoxical (Cruz and Paine 2021; Hoeyer 2023; Thompson 2021; Ziebland, Hyde, and Powell 2021) and themselves highly unequal (Noble 2018; Obermeyer et al 2019; Vyas et al 2020). It further joins recent critical scholarship in reimagining the role of data within collective struggles for freedom and social justice (Benjamin 2019; Hatch 2022; Nelson 2016; Rodríguez-Muñiz 2016).…”
Section: Discussionmentioning
confidence: 69%
“…This research thus lends empirical support to the Black Public Health Collective’s (2020) declaration that “race-based data are not racial justice,” recognizing technological effects may be paradoxical (Cruz and Paine 2021; Hoeyer 2023; Thompson 2021; Ziebland, Hyde, and Powell 2021) and themselves highly unequal (Noble 2018; Obermeyer et al 2019; Vyas et al 2020). It further joins recent critical scholarship in reimagining the role of data within collective struggles for freedom and social justice (Benjamin 2019; Hatch 2022; Nelson 2016; Rodríguez-Muñiz 2016).…”
Section: Discussionmentioning
confidence: 69%
“…We then analyzed 500 randomly selected tweets via a close reading. Our analysis is informed by the work of scholars such as Melanie Walsh (2021) and other data feminists who combine computational analysis with an awareness of the extractive, reductive, and spectacular risks of data science (D’Ignazio & Klein 2020; Hatch 2022). We have thus refrained from identifying any users or tweet IDs in this study except for those of public figures.…”
Section: Steam Inhalation As Alternative Therapeutic For Covid-19mentioning
confidence: 99%
“…[T]he assumption that collecting data on racial health disparities in the COVID-19 pandemic will lead to the reduction or elimination of those disparities [is an] assumption that keeps scientists in an endless search for more and more refined measurements of racism's harms, while the political and economic systems that comprise the fundamental causes of those harms are given a pass until all the data are counted. (Hatch, 2022: 2)…”
Section: Theories Of Enumeration and Citizenshipmentioning
confidence: 99%
“…This advocacy corresponds with a trend toward treating statistical inclusion as a matter of racial justice among community organizers (Rodríguez-Muñiz, 2021;Thomson, 2016), and among health scientists (Bliss, 2012;Epstein, 2007). And yet, critical scholars have questioned whether the collection of attuned racial statistics serves to redress racial inequities at all (Benjamin, 2019;Hatch, 2022). Hatch (2022), for example, argues that when it became clear the highest case rates and deaths from COVID-19 were among Black and Latinx communities, the Trump administration withdrew federal public health infrastructure and left it up to states and municipalities to determine and enforce public health mitigation.…”
Section: Introductionmentioning
confidence: 99%