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      Crisis Communication About the Maui Wildfires on TikTok: Content Analysis of Engagement With Maui Wildfire–Related Posts Over 1 Year

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          Abstract

          Background

          The August 2023 wildfire in the town of Lāhainā on the island of Maui in Hawaiʻi caused catastrophic damage, affecting thousands of residents, and killing 102 people. Social media platforms, particularly TikTok, have become essential tools for crisis communication during disasters, providing real-time crisis updates, mobilizing relief efforts, and addressing misinformation. Understanding how disaster-related content is disseminated and engaged with on these platforms can inform strategies for improving emergency communication and community resilience.

          Objective

          Guided by Social-Mediated Crisis Communication theory, this study examined TikTok posts related to the Maui wildfires to assess content themes, public engagement, and the effectiveness of social media in disseminating disaster-related information.

          Methods

          TikTok posts related to the Maui wildfires were collected from August 8, 2023, to August 9, 2024. Using TikTok’s search functionality, we identified and reviewed public posts that contained relevant hashtags. Posts were categorized into 3 periods: during the disaster (August 8 to August 31, 2023), the immediate aftermath (September 1 to December 31, 2023), and the long-term recovery (January 1 to August 9, 2024). Two researchers independently coded the posts into thematic categories, achieving an interrater reliability of 87%. Engagement metrics (likes and shares) were analyzed to assess public interaction with different themes. Multivariable linear regression models were used to examine the associations between log-transformed likes and shares and independent variables, including time intervals, video length, the inclusion of music or effects, content themes, and hashtags.

          Results

          A total of 275 TikTok posts were included in the analysis. Most posts (132/275, 48%) occurred in the immediate aftermath, while 76 (27.6%) were posted during the long-term recovery phase, and 24.4% (n=67) were posted during the event. Posts during the event garnered the highest average number of likes (mean 75,092, SD 252,759) and shares (mean 10,928, SD 55,308). Posts focused on “Impact & Damage” accounted for the highest engagement, representing 36.8% (4,090,574/11,104,031) of total likes and 61.2% (724,848/1,184,049) of total shares. “Tourism Impact” (2,172,991/11,104,031, 19.6% of likes; 81,372/1,184,049, 6.9% of shares) and “Relief Efforts” (509,855/11,104,031, 4.6% of likes; 52,587/1,184,049, 4.4% of shares) were also prominent themes. Regression analyses revealed that videos with “Misinformation & Fake News” themes had the highest engagement per post, with a 4.55 coefficient for log-shares (95% CI 2.44-6.65), while videos about “Tourism Impact” and “Relief Efforts” also showed strong engagement (coefficients for log-likes: 2.55 and 1.76, respectively).

          Conclusions

          TikTok is an influential tool for disaster communication, amplifying both critical disaster updates and misinformation, highlighting the need for strategic content moderation and evidence-based messaging to enhance the platform’s role in crisis response. Public health officials, emergency responders, and policy makers can leverage TikTok’s engagement patterns to optimize communication strategies, improve real-time risk messaging, and support long-term community resilience.

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          Most cited references55

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          Saturation in qualitative research: exploring its conceptualization and operationalization

          Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies. We identify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation—as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use. We conclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.
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            The spread of true and false news online

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              Human-started wildfires expand the fire niche across the United States

              Significance Fighting wildfires in the United States costs billions of dollars annually. Public dialog and ongoing research have focused on increasing wildfire risk because of climate warming, overlooking the direct role that people play in igniting wildfires and increasing fire activity. Our analysis of two decades of government agency wildfire records highlights the fundamental role of human ignitions. Human-started wildfires accounted for 84% of all wildfires, tripled the length of the fire season, dominated an area seven times greater than that affected by lightning fires, and were responsible for nearly half of all area burned. National and regional policy efforts to mitigate wildfire-related hazards would benefit from focusing on reducing the human expansion of the fire niche.
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                Author and article information

                Contributors
                Journal
                JMIR Form Res
                JMIR Form Res
                JFR
                formative
                27
                JMIR Formative Research
                JMIR Publications (Toronto, Canada )
                2561-326X
                2025
                4 March 2025
                : 9
                : e67515
                Affiliations
                [1 ]departmentDepartment of Health Economics, Systems, and Policy , University of Texas Southwestern Medical Center , 5323 Harry Hines Blvd, Dallas, TX, 75390-9066, United States, 1 214-645-2567
                [2 ]departmentPeter O'Donnell Jr. School of Public Health , University of Texas Southwestern Medical Center , Dallas, TX, United States
                [3 ]Frisco High School , Frisco, TX, United States
                [4 ]departmentWashington University in St. Louis , St Louis, MO, United States
                [5 ]departmentDepartment of Native Hawaiian Health , John A. Burns School of Medicine, University of Hawaiʻi at Mānoa , Honolulu, HI, United States
                [6 ]departmentThompson School of Social Work & Public Health , University of Hawaiʻi at Mānoa , Honolulu, HI, United States
                Author notes
                Jim PStimpsonPhD, Department of Health Economics, Systems, and Policy, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-9066, United States, 1 214-645-2567; james.stimpson@ 123456utsouthwestern.edu

                None declared.

                Author information
                http://orcid.org/0000-0002-1266-9436
                http://orcid.org/0009-0005-3951-5866
                http://orcid.org/0009-0000-1388-0324
                http://orcid.org/0000-0001-5076-6141
                http://orcid.org/0000-0001-6861-6993
                Article
                67515
                10.2196/67515
                11895724
                40035799
                cf31ba0f-bdb5-4d0e-9331-68cbfd787f1d
                Copyright © Jim P Stimpson, Aditi Srivastava, Ketan Tamirisa, Joseph Keaweʻaimoku Kaholokula, Alexander N Ortega. Originally published in JMIR Formative Research (https://formative.jmir.org)

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

                History
                : 14 October 2024
                : 29 January 2025
                : 30 January 2025
                Categories
                Reviews on Usage or other Formative Evaluation Metrics
                Infodemiology and Infoveillance
                Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine
                Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management
                Disaster Medicine and Mass Casualty Management
                Original Paper

                social media,public health,disasters,hawaii,media,post,communication,disaster,disaster communication,wildfire,information,dissemination,engagement,content analysis,content,metrics,misinformation,community,support

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