In the aftermath of the COVID-19 crisis, there has been a massive amount of misinformation both related to the condition, and a range of linked social and economic issues. We present a mixed methods study of misinformation debunked by Indian fact checking agencies since January 2020. Alongside this, we present an analysis of what politicians in India have been discussing in the overlapping period. We find that affective issues dominate misinformation, especially in the period following the lockdown in India. Furthermore, we find that communal prejudice emerges as a central part of the misinformation environment, something that is reflected in the political speech around the same period.

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Databases of highly networked individuals have been indispensable in studying narratives and influence on social media. To support studies on Twitter in India, we present a systematically categorized database of accounts of influence on Twitter in India, identified and annotated through an iterative process of friends, networks, and self-described profile information, verified manually. We built an initial set of accounts based on the friend network of a seed set of accounts based on real-world renown in various fields, and then snowballed ``friends of friends" multiple times, and rank ordered individuals based on the number of in-group connections, and overall followers. We then manually classified identified accounts under the categories of entertainment, sports, business, government, institutions, journalism, civil society accounts that have independent standing outside of social media, as well as a category of ``digital first" referring to accounts that derive their primary influence from online activity. Overall, we annotated 11580 unique accounts across all categories. The database is useful studying various questions related to the role of influencers in polarization, misinformation, extreme speech, political discourse etc.

Frontline health workers are the first and often the only access point to basic health care services in low-andmiddle income countries. However, the work and the issues frontline health workers face are often invisible to the healthcare system, with limited resources to assist them. This study explores the work practices, challenges and roles of frontline health workers in community health with particular focus on pregnancy care in South India. Drawing on the notion of maintenance and articulation work, we describe the maintenance work of frontline health workers maintaining, anticipating, reconciling, and supporting care infrastructures beyond data collection practices. Our findings highlight how socio-cultural practices, perceptions, status, and existing systems influence maintenance work practices. Based on our findings, we suggest moving beyond the focus on training and performance to design CSCW tools to support the maintenance work of frontline health workers as 'system-builders' to make healthcare infrastructures work in community health.CCS Concepts: • Human-centered computing → Empirical studies in HCI.