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This study employed the model of stigma communication (MSC) to analyze how exposure to COVID-19-related information affected stigma-related information sharing about people who contracted COVID-19 during the pandemic and examined the cognitive process of the MSC in a collectivist culture. Based on a survey of 526 social media users during the COVID-19 pandemic in China, the study found that exposure to contact tracing information and pandemic control information had different impact on stigma-related information sharing through a series of cognitive variables. A dual-path model showed that perceived personal risk influenced stigma-related information sharing through attribution of blame toward the infected (the personal path), while perceived social risk influenced stigma-related information sharing through protection norm conformity (the social path). Compared to the personal path, the social path is more salient in shaping stigmatized attitudes and behaviors. The findings and discussions added to our understanding of the intricate stigma communication process in a collectivist culture. [ABSTRACT FROM AUTHOR]

Maps have served as authoritative and trustworthy sources of geospatial information for years. However, maps are increasingly being wielded to spread misinformation due to the democratization of mapmaking, advances in AI, and the emergence of post-truth politics. Trust plays a fundamental role in the spread of misinformation, but our understanding of trust in the context of maps is limited. In this paper, I examine the methodologies employed by empirical studies on trust in maps and synthesize the major findings of said studies. Most of the reviewed studies were experiments that utilized single-item self-reporting Likert-type measures to capture trust. I organized the findings of the studies into six major themes including source, metadata, transparency, uncertainty, design, and information modality. Additionally, I present a research agenda based on the findings and limitations of existing works. This agenda highlights methodological challenges to studying trust in maps and proposes opportunities in the form of research questions. [ABSTRACT FROM AUTHOR]