Automating Care: Online Food Delivery Work During the CoVID-19 Crisis in India
Automating Care: Online Food Delivery Work During the CoVID-19 Crisis in India
复制标题
自动化护理：印度 CoVID-19 危机期间的在线食品配送工作
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Tina J. Park
中科院分区：
文献类型：
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作者：
Archana Singh;Tina J. Park
2020年3月23日，印度政府（GoI）宣布了世界上最严格的全国性封锁措施之一，以遏制新型SARS-CoV-2（也称为COVID-19）的传播。该国一夜之间陷入停顿，包括小企业和餐馆在内的服务业遭受了巨大的金融打击。病毒的未知性质及其传播加深了公众的焦虑，迅速转向对任何与货物和人员的“外部”接触的不信任。为了（重新）建立消费者信任，食品配送平台Zomato和Swiggy开始提供数字解决方案，以展示对客户的关怀，包括：（1）在应用程序中分享配送工人的实时温度以及工人的个人资料;（2）强制工人使用有争议的接触追踪应用程序Aarogya Setu;（3）通过随机自拍请求监控工人使用口罩;（4）通过使用自动化的工具来监控工人的工作环境。以及（4）在应用程序上共享特定工人疫苗接种细节以供客户查看，包括疫苗接种日期和疫苗序列号。这种旨在应对公共卫生威胁的侵入性数据收集基础设施长期以来一直专注于对劳动者、移民和其他边缘化社区的身体进行监视。作为公共卫生管理的框架，这种生物识别和健康数据收集被视为关心公众福祉的必要特征。然而，这种传播做法-主要侧重于从一个特定社区提取数据，以缓解另一个社区的关切-使疾病单向传播的错误观念正常化：从工人到消费者。通过集中在大流行期间的食品配送工作者的经验，并检查在护理和恢复的名义下，这种监测的正常化，本文旨在研究如何使用有害和不道德的医疗实践制造和合法化的新的护理制度。
On March 23, 2020, the Government of India (GoI) announced one of the strictest nationwide lockdowns in the world to curb the spread of novel SARS-CoV-2, otherwise known as CoVID-19. The country came to a standstill overnight and the service industry, including small businesses and restaurants, took a massive financial hit. The unknown nature of the virus and its spread deepened anxiety among the general public, quickly turning to distrust towards any “outside” contact with goods and people. In the hopes of (re)building consumer trust, food delivery platforms Zomato and Swiggy began providing digital solutions to exhibit care towards their customers, including: (1) sharing delivery workers’ live temperatures alongside the workers’ profile inside the app; (2) mandating the use of the controversial contact tracing app Aarogya Setu for the workers; (3) monitoring workers’ usage of masks through random selfie requests; and (4) sharing specific worker vaccination details on the app for customers to view, including vaccination date and the vaccine’s serial number. Such invasive data gathering infrastructures to address public health threats have long focused on the surveillance of laborers, migrants, and the bodies of other marginalized communities. Framed as public health management, such biometric and health data gathering is treated as a necessary feature of caring for the well-being of the general public. However, such datafication practices - ones which primarily focus on the extraction of data from one specific community in order to mollify the concerns of another - normalizes the false perception that disease is transmitted unidirectionally: from worker to the consumer. By centering food delivery workers’ experiences during the pandemic and examining the normalization of such surveillance in the name of care and recovery, this paper aims to examine how new regimes of care are manufactured and legitimized using harmful and unethical datafication practices.
旧逻辑，新技术：在按需服务平台上打造托管劳动力
DOI：
10.1145/3544548.3581240
发表时间：
2023
期刊：
ACM
影响因子：
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作者：
Singh, Anubha;Garcia, Patricia;Lindtner, Silvia
通讯作者：
Lindtner, Silvia