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  1. Nah, Fiona (Ed.)
    Misinformation about the coronavirus disease of 2019 (COVID-19) health crisis has been widespread on social media and caused various types of harms in society. While some researchers have investigated the way in which people perceive misinformation harm in crises, little research has systematically examined harms from health-related misinformation. In order to address this gap, we focus on non-comparative and comparative harm perceptions of the affected community in the COVID-19 pandemic context. We examine non-comparative harms (which component harms and contextual harms reflect) and comparative harms (which counter-contextual harms reflect) in order to understand harm perceptions. We also investigate how harm perception varies based on COVID-19 victimization experience. We used a professional survey company named Cint to collect data using a scenario-based survey with 343 participants. We extract various findings such as how contextual features shape perceived harms and reveal the scenarios in which COVID-19 victims perceive higher contextual harms but lower counter-contextual harms. We also examine how corrective actions of social media shape harm perceptions. 
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  2. The migration to electronic health records (EHR) in the healthcare industry has raised issues with respect to security and privacy. One issue that has become a concern for healthcare providers, insurance companies, and pharmacies is patient health information (PHI) leaks because PHI leaks can lead to violation of privacy laws, which protect the privacy of individuals’ identifiable health information, potentially resulting in a healthcare crisis. This study explores the issue of PHI leaks from an access control viewpoint. We utilize access control policies and PHI leak scenarios derived from semi structured interviews with four healthcare practitioners and use the lens of activity theory to articulate the design of an access control model for detecting and mitigating PHI leaks. Subsequently, we follow up with a prototype as a proof of concept. 
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