Evidence map›Paper›PMID 35291318›Full record

ArticleThe Review of Black political economy2022

#ChinaMustexplain: Global Tweets, COVID-19, and Anti-Black Racism in China.

Anwar Ouassini, Mostafa Amini, Nabil Ouassini

Abstract read
In one paragraph

Article in The Review of Black political economy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Anwar OuassiniDelaware State University, DE, USA.ORCID https://orcid.org/0000-0002-9229-0126
Mostafa AminiHarvard Medical School, Harvard University, Boston, MA, USA.
Nabil OuassiniPrairie View A&M University, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the consequences of the emergence of COVID-19 has been the glaring racial and ethnic disparities that have defined the course of the spread of the virus. As a recent migrant-minority community in China, the Black community's experience has been defined by vulgar racism, exploitation, and stigmatization. In the context of COVID-19, the Black community in China was again a target of multiple racial projects which sought to label their bodies as diseased and physical presence as a threat to the viability and safety of the Han majority. The global response was to mobilize online to expose how the Chinese government is systematically facilitating discriminatory policies against Black migrants in China. In the present paper, we explore how Twitter was utilized to mobilize awareness about anti-Black racism in China. We first present a brief history of African migration to China and then discuss the Han racial ideologies that are inspiring the anti-Black racism. We then use latent Dirichlet allocation as a topic modeling algorithm to extract underlying themes to discuss how anti-Black racism in the COVID-19 context was framed and subsequently challenged by the global community. Finally, we conclude with a brief discussion on COVID-19 and the future of the Black community in China.

Indexed as

African migrantsanti-Black racismChinaCOVID-19Han racial projects

Identifiers

PMID35291318
PMCPMC8914295

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.