Graph-based open-ended survey on concerns related to COVID-19
Tatsuro Kawamoto, Takaaki Aoki, Michiko Ueda

TL;DR
This study used a novel graph-based open-ended survey framework to analyze public concerns during COVID-19 in Japan, revealing social pressure as a major issue over infection risk.
Contribution
It introduces the GOS framework combining open-ended responses with opinion graphs, enabling detailed analysis of evolving public opinions during a pandemic.
Findings
Social pressure was a primary concern among respondents.
The opinion graph clustering revealed evolving response patterns.
Japanese collectivist culture influences perceptions of COVID-19 risks.
Abstract
The COVID-19 pandemic is an unprecedented public health crisis with broad social and economic consequences. We conducted four surveys between April and August 2020 using the graph-based open-ended survey (GOS) framework, and investigated the most pressing concerns and issues for the general public in Japan. The GOS framework is a hybrid of the two traditional survey frameworks that allows respondents to post their opinions in a free-format style, which can subsequently serve as one of the choice items for other respondents, just as in a multiple-choice survey. As a result, this framework generates an opinion graph that relates opinions and respondents. We can also construct annotated opinion graphs to achieve a higher resolution. By clustering the annotated opinion graphs, we revealed the characteristic evolution of the response patterns as well as the interconnectedness and…
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