How does COVID-19 differ from previous crises? A comparative study of health-related crisis research in the tourism and hospitality context.

The importance of the risk to tourism and hospitality operations from pandemic-related crises has increased. Therefore, the current study offers a literature review targeting tourism and hospitality stakeholders' perceptions of past diseases and has three objectives: (1) Explore major topics from previous research on infectious diseases using topic modeling; (2) compare non-COVID-19 and COVID-19 crises; (3) investigate research topics in the tourism and hospitality industries. To meet our research objectives, we reviewed published pandemic-related articles in the tourism and hospitality literature since the year 2000. Based on the results, we first identified nine key topics related to infectious diseases (i.e., policy, human resources, branding, resilience, technology, global or community change, risk perception, disease impact, and lifestyle). Second, we suggest the application of different topic weights in non-COVID-19 and COVID-19 research. Third, we found that it is appropriate to apply different topic weights in tourism and hospitality research.

A Retrospective Literature Review of Eating Disorder Research (1990-2021): Application of Bibliometrics and Topical Trends.

Despite the growing importance of eating disorders in society and academic literature, only a few bibliometric review studies using bibliometric analysis were available. Hence, this study aimed to explore and uncover hidden research topics and patterns in articles in terms of eating disorders over the last 30 years. In total, 4111 articles on eating disorders were analyzed using bibliometrics, network analyses, and structural topic modeling as the basis of mixed methods. In addition to general statistics about the journal, several key research topics, such as eating disorder (ED) treatment, ED symptoms, factors triggering ED, family related factors, eating behaviors, and social factors, were found based on topic correlations. This study found the key research variables that are frequently studied with EDs, such as AN, BN, BED, and ARFID. This study may help clinicians comprehend important risk factors associated with EDs. Moreover, the findings about key ED research topics and their association can be helpful for future studies to construct a comprehensive ED research framework. To our knowledge, this is the first study to use topic modeling in an academic journal on EDs and examine the diversity in ED research over 30 years of published research.

What Topics Do Members of the Eating Disorder Online Community Discuss and Empathize with? An Application of Big Data Analytics.

Given the stigma of eating disorders (EDs), anonymous online communities of individuals with EDs can play a critical role in their treatment. In our study, we aimed to identify prevalent topics related to EDs in one community. To discover latent topics in an online community dedicated to EDs, we applied an automated text-mining approach to topic modeling after collecting data from Reddit created between January 2011 and September 2020. As a result of topic modeling, topics regarding emotional support, informational support, and inquiries about EDs were discovered. In frequently asked questions and advice about EDs in the online community, community members empathized more with topics soliciting emotional support rather than informational support. Despite the importance of online communities, studies on this topic, especially those analyzing online conversations, have remained limited. By demonstrating the role of online communities in supplementary interventions, our findings can support clinicians in caring for patients with EDs.