The onset of the COVID-19 pandemic and the subsequent lockdown of cities worldwide generated a dramatic increase in the use of public health trac(k)ing technologies. This article presents an empirical analysis of China’s Health Code on WeChat and Alipay, Australia’s COVIDSafe and New Zealand’s COVID Tracer. We ask: how does app-based public health monitoring differ from prior forms of state tracking and corporate surveillance, and interface with public and private ideals of health and citizenship? Based on a comparative analysis of the selected apps and the political economy that surrounds their code and implementation, we argue that there is a new corona of surveillance to address COVID-19 crises by intensifying the diffusion of national surveillance technologies and framing these into justifiable moral practice. In conclusion, we identify a new ‘corona’ of public health governmentality during COVID-19 pandemic through an intensification of top-down institutional data extraction from human bodies.
This article explores the cultural appropriation of the term avatar by Western tech culture and what this implies for scholarship of digital games, virtual worlds, social media, and digital cultures. The term has roots in the religious tradition of the Indian subcontinent and was subsequently imported into video game terminology during a period of widespread appropriation of Eastern culture by Californian tech industries. We argue that the use of the term was not a case of happenstance but a signaling of the potential for computing to offer a mystical or enchanted perspective within an otherwise secular world. This suggests that the concept is useful in game cultures precisely because it plays with the “otherness” of the term's original meaning. We argue that this indicates a fundamental hybridity to gaming cultures that highlight the need to add postcolonial perspectives to how issues of diversity and power in gaming cultures are understood.
In this paper we outline and demonstrate the critical simulation approach to understanding the data operations of visual social media platforms. We situate this approach within the field of platform studies and position it as a ‘hybrid digital method’, before describing its application for descriptive, forensic and speculative purposes in two current research projects: one that uses machine vision combined with mixed-methods qualitative research to explore Instagram’s algorithmic visual culture; and one that combines automated data donation and machine vision to explore Facebook’s ad targeting practices.
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