ABSTRACT
One of the negative developments of the COVID-19 pandemic is the manner by which ethnic, racial, and religious minorities have been negatively impacted by COVID-19. In Great Britain, British Muslims have been adversely affected by this label as they have been disproportionately affected by the virus and stigmatized as super-spreaders by mainstream political parties and right-wing organizations. In response, British Muslims are actively mobilizing in civil society to challenge the super-spreader narrative while emphasizing the centrality of their Islamic faith in protecting their community - and the British public - from COVID-19. In this paper, we elaborate on three frameworks that explicate the British Muslim community's response to COVID-19 and its accompanying Islamophobic frames: The emphasis on the individual's responsibility to God, family, and self;the commitment of the British Muslim community to the society and the State;and the reframing of COVID-19 best health practices as Islamic in orientation. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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.