Factors Driving Citizen Engagement With Government TikTok Accounts During the COVID-19 Pandemic: Model Development and Analysis

LASIK Videos on TikTok: A Content Analysis of the Top 100 Videos

Introduction

Social media has increasingly become a prominent source of health information. Platforms like TikTok that allow for videos to reach millions of viewers have become among the most common platforms to share and receive health information. Laser in situ keratomileusis (LASIK) videos and patients' experiences are commonly discussed on social media. The quality of these videos remains to be assessed. The aim of this study is to evaluate the content, quality, and reach of the top 100 videos related to LASIK eye surgery on TikTok.

Methods

Video quality was assessed using the DISCERN, JAMA, and GQS instruments which have all been proven to be both reliable and valid.

Results

100 videos were included in the study. Results showed that the videos have an immense reach with a total view count of 245 million views and 21.9 million likes. Two thirds of the videos were posted by personal accounts as compared ophthalmologists that only constituted 26% of the content. Healthcare professionals produced higher quality videos compared to nonhealthcare professionals (p < 0.0001) although there was no significant difference in video duration (p=0.18). Increased duration, view count, comments, shares, saves, and views/day were all associated with increased DISCERN score and quality of the videos. Educational videos were of higher quality compared to entertainment videos, and videos outlining the procedure details had the highest quality score.

Conclusions

LASIK videos on TikTok have established a wide reach, whereby viewers are highly interacting and viewing these videos. It appeared that viewers interacted more with the higher quality videos. Ophthalmologists approximately only contributed to a quarter of the videos analyzed in this study. This highlights the need for ophthalmologists to establish a presence on TikTok and produce high quality videos.

Factors influencing public participation behavior relating to government microblogs on COVID-19 updates

Introduction

During the global COVID-19 pandemic, densely populated megacities engaged in active international exchanges have faced the most severe impacts from both the disease and the associated infodemic. This study examines the factors influencing public participation behavior on government microblogs in these megacities during the pandemic. It guides megacities in disseminating epidemic information, promoting knowledge on epidemic prevention, managing public opinion, and addressing related matters.

Methods

Utilizing the elaboration likelihood model's central and peripheral routes, drawing on an empirical analysis of 6,677 epidemic-related microblogs from seven Chinese megacities, this study analyses the influence mechanisms influencing public participation behavior and reveals the regulatory role of confirmed case numbers. Meanwhile,a qualitative comparative analysis examines and discusses diferent confgurations of ixn fuential factors.

Results

The study reveals that microblog content richness demonstrates a U-shaped impact on public participation behavior. Conversely, content interaction, content length, and the number of fans positively impact participation, while update frequency has a negative impact. Additionally, the number of new confrmed cases positively regulates the impact of microblog content and publisher characteristics on public participation behavior. Public participation behavior also varies based on publishing time and content semantic features. This study further revealed the different confgurations of influential factors by QCA method.

Conclusion

This study reveals the impact mechanism of the microblog content and publisher characteristics on public participation behavior. It also demonstrates the regulatory role of newly confrmed cases in the way content and publishers' characteristics influence public participation behavior. This study is of great significance for the operation of government microblogs, the release of emergency information, and the promotion of public participation.

Witnesses' susceptibility to misleading post-event information delivered in a social media-style video

In many criminal cases, outcomes rely on eyewitness evidence. Exposure to misleading information after an event reduces the accuracy of witnesses' memories. In some circumstances, warnings about misinformation can protect witnesses. As social media is a growing source of misleading information, this study examined the effect of misleading post-event information delivered via a social media-style video, as well as the utility of a minimal versus detailed warning. Participants (N = 145) watched a video showing an electrician stealing items from a client's home. Next, they received one of three pre-warnings regarding forthcoming misleading information: a minimal warning indicating that caution should be taken, a detailed warning specifying the presence of misleading information, or no warning. Participants received the misleading information via a social media video or a standard text-based narrative. Finally, they completed a recognition test. Although delivery method did not affect errors for misleading items, detailed warnings were only effective against text-based misleading information. Participants were more confident about their correct than incorrect responses for misleading items; confidence was not affected by delivery method or warning. This experiment is the first to demonstrate people's susceptibility to misleading post-event information delivered in a social media-style video using an eyewitness paradigm.

Anti-stigma narratives and emotional comfort against health crisis: a context analysis of UGC short videos from patients with COVID-19 infections

Patients narratives are being recorded increasingly frequently and spontaneously in short user produced content (UGC) films, which may have an impact on the vlogger's health as well as the public's comprehension of the relevant health concerns. This paper addressed three research questions regarding the population characteristics of UGC video publishers, the narrative theme of the videos, and the emotional orientation of the commenters. This study aimed to deepen our understanding of COVID-19 patients' narrative intentions and emotional needs through the theoretical frameworks of theory of planned behavior (TPB) and negative dominance theory (NDT). We collected 335 videos from 28 COVID-19 patients and 572,052 comments as samples on Douyin platform, the largest short-video website in China. Using Latent Semantic Analysis, we analyzed the descriptive information of the video blogs, the narrative textual information of the videos, and the emotional orientation of the comments. Our findings revealled seven categories of narrative themes, with 52.1% of video comments exhibiting a positive emotional orientation. Within a framework integrating TPB and NDT theories, we analyzed the behavioral intentions of vloggers and viewers during COVID-19 epidemic, and interpreted the persistent posting of videos and the active posting of comments as positive actions that counteracted the multiple effects of negative messages. This study contributes to the understanding of individual narratives in macro-risk communication, both theoretically and empirically, and offers policy recommendations in relevant fields.

Public health agencies' use of social media for communication during pandemics: a scoping review of the literature

Public health agencies (PHAs) have increasingly incorporated social media into their communication mix during successive pandemics in the 21st century. However, the quality, timing, and accuracy of their health messages have varied significantly, resulting in mixed outcomes for communication, audience engagement, and pandemic management. This study aimed to identify factors influencing the effectiveness of pandemic-related health messages shared by PHAs on social media and to report their impact on public engagement as documented in the literature. A scoping literature review was conducted following a predefined protocol. An electronic search of 7 relevant databases and 5 grey literature repositories yielded 9,714 papers published between January 2003 and November 2022. Seventy-three papers were deemed eligible and selected for review. The results underscored the insufficiency of social media guidance policies for PHAs. Six themes were identified: message source, message topic, message style, message timing, content credibility and reliability, and message recipient profile. These themes encompassed 20 variables that could inform PHAs' social media public health communication during pandemics. Additionally, the findings revealed potential interconnectedness among the variables, and this study concluded by proposing a conceptual model that expands upon existing theoretical foundations for developing and evaluating pandemic-related health messaging.

Dialogic communication on local government social media during the first wave of COVID-19: Evidence from the health commissions of prefecture-level cities in China

Although some scholars have explored the level and determinants of Dialogic Communication on Government Social Media (DCGSM), none have conducted their studies in the context of public crisis. The current study contributes to the understanding on DCGSM by 16,822 posts crawled from the official Sina Weibo accounts of 104 Chinese health commissions in prefecture-level cities during the first wave of the COVID-19 pandemic. Results show that Chinese local government agencies have great variations in their DCGSM during the pandemic and the overall performance is poor. Furthermore, Chinese local governments prefer to conserve visitors and generate return visits, rather than dialogic loops development and the usefulness of information enhancement. The findings suggest that both public pressure and peer pressure contribute to the DCGSM of Chinese local governments during the public health crisis. In addition, the effect of public pressure is stronger than that of the peer pressure, indicating that local government agencies have experienced more demand-pull DCGSM.

Exploring the vaccine conversation on TikTok in Italy: beyond classic vaccine stances

TikTok, a social media platform for creating and sharing short videos, has seen a surge in popularity during the COVID-19 pandemic. To analyse the Italian vaccine conversation on TikTok, we downloaded a sample of videos with a high play count (Top Videos), identified through an unofficial Application Programming Interface (consistent with TikTok's Terms of Service), and collected public videos from vaccine sceptic users through snowball sampling (Vaccine Sceptics' videos). The videos were analysed using qualitative and quantitative methods, in terms of vaccine stance, tone of voice, topic, conformity with TikTok style, and other characteristics. The final datasets consisted of 754 Top Videos (by 510 single users) plus 180 Vaccine Sceptics' videos (by 29 single users), posted between January 2020 and March 2021. In 40.5% of the Top Videos the stance was promotional, 33.9% were indefinite-ironic, 11.3% were neutral, 9.7% were discouraging, and 3.1% were ambiguous (i.e. expressing an ambivalent stance towards vaccines); 43% of promotional videos were from healthcare professionals. More than 95% of the Vaccine Sceptic videos were discouraging. Multiple correspondence analysis showed that, compared to other stances, promotional videos were more frequently created by healthcare professionals and by females, and their most frequent topic was herd immunity. Discouraging videos were associated with a polemical tone of voice and their topics were conspiracy and freedom of choice. Our analysis shows that Italian vaccine-sceptic users on TikTok are limited in number and vocality, and the large proportion of videos with an indefinite-ironic stance might imply that the incidence of affective polarisation could be lower on TikTok, compared to other social media, in the Italian context. Safety is the most frequent concern of users, and we recorded an interesting presence of healthcare professionals among the creators. TikTok should be considered as a medium for vaccine communication and for vaccine promotion campaigns.

Sentiment Impact of Public Health Agency communication Strategies on TikTok under COVID-19 Normalization: Deep Learning Exploration

Aim

The accessibility of social media data has allowed researchers to measure official-public interactions during COVID-19. However, previous work analyzing official posts or public comments has failed to explore the link between the two. Therefore, this study investigates the relationship between the communication strategies of public health agencies (PHAs) on TikTok and public emotional/sentiment tendencies in COVID-19 normalization.

Subject and methods

This study uses the 2022 Shanghai city closure event as a public health communication case study in the context of COVID-19 normalization, using TikTok as a data source. We first analyze the communication strategies adopted by the PHA based on the Crisis and Emergency Risk Communication (CERC) model. Then, we classify the sentiment of public comments using the Large-Scale Knowledge Enhanced Pre-Training for Language Understanding and Generation (ERNIE) pre-training model. Finally, we explore the connection between PHA communication strategies and public sentiment tendencies.

Results

First, the public's sentiment tendencies differ at different stages. Therefore, appropriate communication strategies should be developed stage-by-stage. Second, the public's emotional disposition to different communication strategies varies: government statements, vaccines, and prevention and control programs are more likely to produce a friendly comment environment, while policy and new cases per day are more likely to produce unfavorable comment content. However, this does not mean that policy and new cases per day should be avoided; the judicious use of these two strategies can help PHAs understand the current issues causing public dissatisfaction. Third, videos with celebrity appearances can significantly increase positive public sentiment and, thereby, public participation.

Conclusion

We propose an improved CERC guideline for China based on the Shanghai lockdown case.

Information under lockdown: A content analysis of government communication strategies on Facebook during the COVID-19 outbreak

The aim of this study is to investigate how central government agencies used social media to communicate and disseminate information to the public during the Coronavirus outbreak. In addition, this study seeks to examine the characteristics of the messages, content, and engagement rates of the information which has been published by the four central government bodies responsible for the management of the emerging crisis in Israel. This article is based on content analysis to examine the work of four main government ministries on Facebook (Ministry of Health, Ministry of Defense, Ministry of Education and Ministry of Finance) throughout the first six months of the crisis from February to July 2020. Findings indicate that The Ministry of Health's posts yielded the highest engagement rates compared to the rest of the ministries. Also, we categorized the posts into four main categories: Policy, Advocacy & COVID-19 additional information, Restrictions, Guidelines & Recommendations. In terms of Sentiment analysis, posts containing restrictions have created the highest emotional reactions (positive and negative). Research findings can be deduced regarding modes of distribution in terms of messages, publication dates, and types of content to improve users' responses in terms of audience engagement and sentiment.

Exposure to Healthy Weight Information on Short-Form Video Applications to Acquire Healthy Weight-Control Behaviors: A Serial Mediation Model

This study explored the effects of Chinese college students' (20-34 years old) exposure to healthy weight information on short-form video applications on their intention to acquire healthy weight-control behaviors (reducing high-fat diet intake, accessing physical activity to control body weight, etc.). Specifically, this study investigated the direct and mediated effect on such a relationship via healthy weight awareness, the first-person effect, and perceived herd. The data were collected using a web-based survey and thoroughly tested questionnaire with a sample of 380 Chinese college students. Hierarchical regression, parallel mediation, and serial mediation analysis were applied to test the hypotheses. The results indicated that healthy weight awareness, first-person effect, and perceived herd all played mediator roles that induced the relationship between Chinese college students' exposure to healthy weight information and their intention to acquire healthy weight-control behaviors. In addition, healthy weight awareness and the first-person effect sequentially mediated this relationship.

Mpox (monkeypox) information on TikTok: analysis of quality and audience engagement

BACKGROUND

Online information on mpox (monkeypox) is not well studied. We have analysed the video content, information quality, and audience engagement of mpox-related videos on TikTok.

METHODS

Using a hashtag-based searching strategy, we identified 2462 mpox-related videos on TikTok from 1 January to 11 August 2022; 85 were included after exclusion criteria screening. Videos were evaluated for content on features and treatment of mpox. Video and information quality was assessed using the DISCERN instrument and the Journal of the American Medical Association (JAMA) criteria. We recorded video source, evaluation scores, and viewer engagement metrics. The Kruskal-Wallis test was used for statistical analysis and multiple linear regression for factor-association studies.

RESULTS

Of the 85 videos, two assessed all content topics and highlighted 33% of all content items in clinical guidelines. The overall average score for the videos was 39.56 of 80 on the DISCERN instrument and 1.93 of 4 on the JAMA criteria. No video met all JAMA criteria. Subgroup analysis based on author identity suggested the variance in video scores by source (p<0.05 for all). Overall scores were higher for videos produced by doctors and science communicators than for those made by institutional users, nurses, and the general public. Multiple linear regression analysis showed that having people in the video (69.20, p=0.0001) and including information on treatment choices (1.15, p=0.045) were significant, independent determinants of audience engagement.

CONCLUSION

Public-directed TikTok videos on mpox frequently provide incomplete, inaccurate information, highlighting the potential risks of using TikTok as a health information source.

Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis

Aim

This study explored the influence of daily new case videos posted by public health agencies (PHAs) on TikTok in the context of COVID-19 normalization, as well as public sentiment and concerns. Five different stages were used, based on the Crisis and Emergency Risk Communication model, amidst the 2022 Shanghai lockdown.

Subject and Methods

After dividing the duration of the 2022 Shanghai lockdown into stages, we crawled all the user comments of videos posted by Healthy China on TikTok with the theme of daily new cases based on these five stages. Third, we constructed the pre-training model, ERNIE, to classify the sentiment of user comments. Finally, we performed semantic network analyses based on the sentiment classification results.

Results

First, the high cost of fighting the epidemic during the 2022 Shanghai lockdown was why ordinary people were reluctant to cooperate with the anti-epidemic policy in the pre-crisis stage. Second, Shanghai unilaterally revised the definition of asymptomatic patients led to an escalation of risk levels and control conditions in other regions, ultimately affecting the lives and work of ordinary people in the area during the initial event stage. Third, the public reported specific details that affected their lives due to the long-term resistance to the epidemic in the maintenance stage. Fourth, the public became bored with videos regarding daily new cases in the resolution stage. Finally, the main reason for the negative public sentiment was that the local government did not follow the central government's anti-epidemic policy.

Conclusion

Our results suggest that the methodology used in this study is feasible. Furthermore, our findings will help the Chinese government or PHAs improve the possible behaviors that displease the public in the anti-epidemic process.

Research on improving the administrative service efficiency of biomass, waste and solid biofuel recycling

Many countries are using effective strategies to recycle biomass, waste, and solid biofuels as an important means to achieve carbon emission peaking and carbon emission neutrality. China needs to continuously improve its recycling system and promote the development of waste material recycling systems. To provide guidance for the upgrading of ecological network public opinion governance and recycling government service practice, based on the internal support and external pressure atmosphere of ecological environmental administration, this paper uses fuzzy set qualitative comparative analysis to analyze the four influencing factors of government resources, network environment, ecological environment, and public opinion environment so as to explore the path of recycling administrative service upgrades under the configuration perspective, the configuration analysis, and the upgrade path evolution of 30 provincial ecological administrations. It is found that the intersection of the influencing factors constitutes 'netizen-motivated', 'virtual reality - driven', 'internal and external - regulated', and 'ecologically led' paths. The four effective and mutually responsive configuration paths are applied to regional ecological and environmental administration service capacities from weak to strong.

Using TikTok for public and youth mental health - A systematic review and content analysis

Globally, TikTok is now the fastest growing social media platform among children and young people; but it remains surprisingly under-researched in psychology and psychiatry. This is despite the fact that social media platforms have been subject to intense academic and societal scrutiny regarding their potentially adverse effects on youth mental health and wellbeing, notwithstanding the inconsistent findings across the literature. In this two part study, we conducted a systematic review concerning studies that have examined TikTok for any public health or mental health purpose; and a follow-up content analysis of TikTok within an Irish context. For study 1, a predetermined search strategy covering representative public and mental health terminology was applied to six databases - PSYCINFO, Google Scholar, PUBMED, Wiley, Journal of Medical Internet Research, ACM - within the period 2016 to 2021. Included studies were limited to English-speaking publications of any design where TikTok was the primary focus of the study. The quality appraisal tool by Dunne et al., (2018) was applied to all included studies. For study 2, we replicated our search strategy from study 1, and converted this terminology to TikTok hashtags to search within TikTok in combination with Irish-specific hashtags. As quantified by the app, the top two "most liked" videos were selected for inclusion across the following three targeted groups: official public health accounts; registered Irish charities; and personal TikTok creators. A full descriptive analysis was applied in both studies. Study 1 found 24 studies that covered a range of public and mental health issues: COVID-19 (n = 10), dermatology (n = 7), eating disorders (n = 1), cancer (n = 1), tics (n = 1), radiology (n = 1), sexual health (n = 1), DNA (n = 1), and public health promotion (n = 1). Studies were predominately from the USA, applied a content analysis design, and were of acceptable quality overall. In study 2, 29 Irish TikTok accounts were analysed, including the accounts of public health authorities (n = 2), charity or non-profit (n = 5), and personal TikTok creators (n = 22). The overall engagement data from these accounts represented a significant outreach to younger populations: total likes n = 2,588,181; total comments n = 13,775; and total shares n = 21,254. TikTok has been utilised for a range of public health purposes, but remains poorly engaged by institutional accounts. The various mechanisms for connecting with younger audiences presents a unique opportunity for youth mental health practitioners to consider, yet there were distinct differences in how TikTok accounts used platform features to interact. Overall, there is an absence of high quality mixed methodological evaluations of TikTok content for public and mental health, despite it being the most used platform for children and young people.

How public health agencies communicate with the public on TikTok under the normalization of COVID-19: A case of 2022 Shanghai's outbreak

Objective

As life with COVID-19 became a norm in 2022, the public's demand for and perception of COVID-19-related information has changed. This study analyzed the performance and responses of Healthy China and the public at various stages of COVID-19 normalization using the crisis and emergency risk communication (CERC) theory.

Methods

This study was based on the 2022 Shanghai COVID-19 outbreak and data from "Healthy China," the official TikTok account of the National Health Commission of the People's Republic of China (NHCC). First, we divided the Shanghai lockdown into five stages in accordance with the CERC. Second, the videos released by Healthy China were open-coded. Third, to understand the distribution of strategies across the stages, we used counts and percentages to summarize the categorical variables. Fourth, we investigated the distribution of public participation indicators using descriptive statistical analysis. Finally, the relationship between stage and communication strategy was examined using the chi-square test and negative binomial regression.

Results

(1) Healthy China adopted a more flexible approach to communication strategies; (2) new cases per day was the commonly used substrategy for uncertainty reduction; (3) there was a significant difference in the strategies used by Healthy China at different stages; (4) public participation was highest in the pre-crisis period; and (5) the stage had a significant positive impact on the number of views, favorites, likes, and shares.

Conclusions

This research provides insight into effective communication strategies for the government or public health agencies to employ during COVID-19 normalization.

Study on the communication effect of the social livestream of cabin hospitals' construction process during the COVID-19 outbreak

When the world is recovering from the chaos that COVID-19 creates, the epidemic is still posing challenges to the public health system and communication. However, a case of information communication during the COVID-19 outbreak can provide a reference for the current information promulgate strategy in China. In January 2020, CCTV broadcasted the construction of two cabin hospitals on a 24-h Livestream (24H-LS), creating a remarkable viewing effect. We conducted a quantitative analysis based on the number of views, social media communication, and internet search index. We collected posts and comment data of the 24H-LS audience and related topics on Weibo, using sentiment classification and word frequency analysis to study the communication effect of 24H-LS from three perspectives: perception effect, psychology, and subject issue. The results show that, first, 24H-LS has attracted extensive public attention on the Internet and social media after its launch. Second, the public's perception of the risks of the COVID-19 outbreak and its uncertainty has decreased after watching the 24H-LS. At the same time, the positive emotions of the public have been enhanced to a certain extent. Third, through subject analysis, we found that the public had high participation and strong interaction in 24H-LS, which produced collective symbols and emotions. The study shows that through 24H-LS, a new information form, the media can effectively convey important information and resolve the public's fear and anxiety.

Promoting public engagement with household waste separation through government social media: A case study of Shanghai

Government agencies around the world are increasingly using social media to promote public engagement with government-initiated activities, such as Household Waste Separation (HWS). However, existing studies fail to examine how governments can use their official social media accounts to promote public engagement with HWS. This pioneering study investigates the effects of dialogic loop, media richness, content theme, and emotional valence on public engagement with HWS through Government Social Media (GSM). Moreover, the influencing mechanisms are explored by examining the moderating role of social media capital. In total, 1795 posts were scraped from the official Sina Weibo accounts of seventeen Shanghai governments and later analyzed. Results reveal that dialogic loop positively predicts public engagement with HWS through GSM, but media richness negatively affects public engagement. Content themes have significantly different impacts on the level of public engagement with HWS through GSM. Unexpectedly, the effect of emotional valence is not significant. This study is the first of its kind to demonstrate the moderating role of social media capital which is seen to weaken the positive effect of dialogic loop on public engagement with HWS through GSM and mitigate the negative effect of media richness.

COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses

Focusing on social media affordances and China's social/political context, the present study analyzed the digital communication practices about COVID-19 vaccines on a popular social media platform-TikTok-which is called DouYin in China. Overall, this study identified five major forces partaking in constructing the discourses, with government agencies and state media being the dominant contributors. Furthermore, video posters demonstrated different patterns of utilizing social media affordances (e.g., hashtags) in disseminating their messages. The top hashtags adopted by state media were more representative of international relations and Taiwan; those by government agencies were of updates on pandemic outbreaks; those by individual accounts were of mainstream values and health education; those by commercial media were of celebrities and health education; those by enterprise accounts were of TikTok built-in marketing hashtags. The posted videos elicited both cognitive and affective feedback from online viewers. Implications of the findings were discussed in the context of health communication and global recovery against the backdrop of the COVID-19 pandemic and Chinese culture.

Social media disorder during community quarantine: A mixed methods study among rural young college students during the COVID-19 pandemic

PURPOSE

This study sought to identify determinants of social media disorder (SMD) and describe the social media engagement among rural young (18 to 24 years old) college students during long periods of community quarantine due to COVID-19.

METHODS

This mixed methods study draws from a sample of 500 students from rural Luzon, Philippines. Quantitative and qualitative data collection were done via online survey.

RESULTS

Findings reveal that 24.2 % of the respondents have SMD. Students who are from below middle-income households, and are active on Tiktok have greater odds for SMD. Qualitative analysis of narratives of students with SMD (n = 121) reveal the beneficial and negative impacts of social media.

CONCLUSIONS

Results highlight how social position, and uses and gratifications of social media can facilitate development of SMD.

Using Social Media for Agenda Setting in Chinese Government's Communications During the 2020 COVID-19 Pandemic

This research provide a case study to analyses how Chinese government's social-media accounts were used to communicate during the COVID-19 pandemic through the lens of agenda-setting. Two most active Chinese government official accounts on Sina Weibo, the most popular Chinese social media platform, are selected as examples. The frequencies and content of postings between December 2019 and May 2020, namely the period of the first outbreak of COVID-19, are analysed. The research argues that Chinese government official accounts frequently posted during this period, and three aspects were most salient in the communication: information regarding the virus, US-China relations during the pandemic, and emotional tributes to public servants. The salience of these aspects contributed to narratives that reinforce Chinese government's efforts in fighting the pandemic, and enable positive portrayal of government to be more visible in the online public space.

Investigating community evolutions in TikTok dangerous and non-dangerous challenges

In just few years, TikTok has become a major player in the social media environment, especially with regard to teenagers. One of the key factors of this success is the idea of challenges, that is, video competitions/emulations on a certain topic, which a user can launch and other ones can join. Most of the challenges are fun and harmless. However, there are also users who launch challenges that are dangerous, or at least suitable only for an adult audience (and TikTok is the most popular social network for teenagers). This article focuses primarily on this kind of challenge. In particular, it investigates an aspect not yet studied in the literature, which is the different characteristics and evolutionary dynamics of the communities of users participating in non-dangerous and dangerous challenges. Its final goal is the identification of evolutionary patterns that distinguish the communities of users participating in the two types of challenges. The knowledge of these patterns could be a first step in implementing an approach to the early detection of dangerous challenges in TikTok.

Discussion of the Trust in Vaccination against COVID-19

The COVID-19 pandemic has introduced serious challenges to global public health security, and the benefits of vaccination via public health interventions have been recognized as significant. Vaccination is an effective means of preventing and controlling the spread of COVID-19. However, trust is a major factor that influences vaccine hesitancy; thus, the distrust of vaccination has hindered the popularization of COVID-19 vaccines. This paper aims to discuss the main problems and the role of trust in the vaccination against COVID-19 to effectively promote and implement policy to promote the acceptance of COVID-19 vaccines.

Next Gen Hawai'i: Collaborative COVID-19 Social Media Initiative to Engage Native Hawaiian, Other Pacific Islander, and Filipino Youth

The Next Gen Hawai'i social media project was initiated in the fall of 2020 to address ongoing public health concerns and the need for accessible and reliable information across Hawai'i's diverse communities by strategically amplifying the voices of Hawai'i's youth in their Native languages. The collaborative effort arose from conversations within the Hawai'i's Native Hawaiian & Pacific Islander COVID-19 Response, Recovery, and Resilience Team, composed of diverse public and private organizations involved in statewide COVID-19 response efforts for Native Hawaiian and Pacific Islander communities. Next Gen Hawai'i's focus was on Native Hawaiian, Pacific Islander, Filipino, and other populations disproportionately suffering from COVID-19. Five social media platforms were developed to spread messaging to youth and young adults about COVID-19. Public Health Ambassadors (from high school to young adults) were recruited and engaged to create culturally and linguistically rooted messaging to promote public health and prevention-based social norms. This strength-based approach recognized youth as important community leaders and ambassadors for change and empowered them to create content for dissemination on platforms with national and global reach. Messaging was designed to build individual, community, and digital health literacy while integrating core cultural values and strengths of Native Hawaiian, Pacific Islander, and Filipino communities. Over 250 messages have been delivered across Next Gen Hawai'i social media channels on topics including vaccine information, mask-wearing, staying together over distances, mental health, and in-languages resources in Chuukese, Chamorro, Marshallese, Samoan, Hawaiian, Ilocano, Tagalog, and other Pacific-basin languages. Reach has included more than 75 000 views from various social media channels, media features, successful webinars, and relevant conference presentations. This Public Health Insights article provides an overview of Next Gen Hawai'i's activities and achievements as well as lessons learned for other youth-focused public health social media campaigns and organizations.

Extracting time patterns from the lifespans of TikTok challenges to characterize non-dangerous and dangerous ones

One of the key aspects that distinguish TikTok from other social media is the presence of challenges. A challenge is a kind of competition that starts when a user posts a video with certain actions and a certain hashtag and invites other users to replicate the same video in their own way. Most challenges are fun and harmless, but sometimes dangerous challenges are launched as well. The authors of these challenges use various tricks to bypass TikTok’s controls. In this paper, we analyze the lifespans of some TikTok challenges and show how they are very different for non-dangerous and dangerous ones. Then, we deepen our analysis by identifying some time patterns that characterize the two types of challenges. Finally, we test the accuracy of the results obtained on a large set of challenges different from those used during the detection of time patterns. The focus of this paper is the detection of time patterns allowing the classification of challenges in dangerous and non-dangerous ones. This could represent a first step towards an approach for the early detection of dangerous challenges in TikTok.

Does Citizen Engagement With Government Social Media Accounts Differ During the Different Stages of Public Health Crises? An Empirical Examination of the COVID-19 Pandemic

Background

The COVID-19 pandemic has created one of the greatest challenges to humankind, developing long-lasting socio-economic impacts on our health and wellbeing, employment, and global economy. Citizen engagement with government social media accounts has proven crucial for the effective communication and management of public health crisis. Although much research has explored the societal impact of the pandemic, extant literature has failed to create a systematic and dynamic model that examines the formation mechanism of citizen engagement with government social media accounts at the different stages of the COVID-19 pandemic. This study fills this gap by employing the Heuristic-Systematic Model and investigating the effects of the heuristic clues including social media capital, information richness, language features, dialogic loop, and the systematic clue including content types, on citizen engagement with government social media across three different stages of the pandemic, employing the moderating role of emotional valence.

Methods

The proposed model is validated by scraping 16,710 posts from 22 provincial and municipal government micro-blog accounts in the Hubei province, China.

Results

Results show that the positive effects of social media capital on citizen engagement were observed at all stages. However, the effects of information richness, language features, dialogic loop, and content types, and the moderating effect of emotional valence, varied across the different pandemic development stages.

Conclusions

The findings provide suggestions for the further effective use of government social media, and better cope with crises. Government agencies should pay attention to the content and form of information shared, using technical means to analyze the information needs of citizens at different stages of public health emergencies, understanding the content most concerned by citizens, and formulating the content type of posts.

Takotsubo syndrome on TikTok: An analysis of information quality and audience engagement (Preprint)

Background

The incidence of Takotsubo syndrome (TTS), also known as the broken heart syndrome or stress cardiomyopathy, is increasing worldwide. The understanding of its prognosis has been progressively evolving and currently appears to be poorer than previously thought, which has attracted the attention of researchers. An attempt to recognize the awareness of this condition among the general population drove us to analyze the dissemination of this topic on TikTok, a popular short-video–based social media platform. We found a considerable number of videos on TTS on TikTok; however, the quality of the presented information remains unknown.

Objective

The aim of this study was to analyze the quality and audience engagement of TTS-related videos on TikTok.

Methods

Videos on the TikTok platform were explored on August 2, 2021 to identify those related to TTS by using 6 Chinese keywords. A total of 2549 videos were found, of which 80 met our inclusion criteria and were evaluated for their characteristics, content, quality, and reliability. The quality and reliability were rated using the DISCERN instrument and the Journal of the American Medical Association (JAMA) criteria by 2 reviewers independently, and a score was assigned. Descriptive statistics were generated, and the Kruskal-Wallis test was used for statistical analysis. Multiple linear regression was performed to evaluate the association between audience engagement and other factors such as video content, video quality, and author types.

Results

The scores assigned to the selected video content were low with regard to the diagnosis (0.66/2) and management (0.34/2) of TTS. The evaluated videos were found to have an average score of 36.93 out of 80 on the DISCERN instrument and 1.51 out of 4 per the JAMA criteria. None of the evaluated videos met all the JAMA criteria. The quality of the relayed information varied by source (All P<.05). TTS-related videos made by health care professionals accounted for 28% (22/80) of all the evaluated videos and had the highest DISCERN scores with an average of 40.59 out of 80. Multiple linear regression analysis showed that author types that identified as health professionals (exponentiated regression coefficient 17.48, 95% CI 2.29-133.52; P=.006) and individual science communicators (exponentiated regression coefficient 13.38, 95% CI 1.83-97.88; P=.01) were significant and independent determinants of audience engagement (in terms of the number of likes). Other author types of videos, video content, and DISCERN document scores were not associated with higher likes.

Conclusions

We found that the quality of videos regarding TTS for patient education on TikTok is poor. Patients should be cautious about health-related information on TikTok. The formulation of a measure for video quality review is necessary, especially when the purpose of the published content is to educate and increase awareness on a health-related topic.

Evaluating the effectiveness of Internet-based communication for public health: a systematic review (Preprint)

Background

Communicating strategically is a key issue for health organizations. Over the past decade, health care communication via social media and websites has generated a great deal of studies examining different realities of communication strategies. However, when it comes to systematic reviews, there is fragmentary evidence on this type of communication.

Objective

The aim of this systematic review was to summarize the evidence on web institutional health communication for public health authorities to evaluate possible aim-specific key points based on these existing studies.

Methods

Guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, we conducted a comprehensive review across 2 electronic databases (PubMed and Web of Science) from January 1, 2011, to October 7, 2021, searching for studies investigating institutional health communication. In total, 2 independent researchers (AN and SS) reviewed the articles for inclusion, and the assessment of methodological quality was based on the Kmet appraisal checklist.

Results

A total of 78 articles were selected. Most studies (35/78, 45%) targeted health promotion and disease prevention, followed by crisis communication (24/78, 31%), general health (13/78, 17%), and misinformation correction and health promotion (6/78, 8%). Engagement and message framing were the most analyzed aspects. Few studies (14/78, 18%) focused on campaign effectiveness. Only 23% (18/78) of the studies had an experimental design. The Kmet evaluation was used to distinguish studies presenting a solid structure from lacking studies. In particular, considering the 0.75-point threshold, 36% (28/78) of the studies were excluded. Studies above this threshold were used to identify a series of aim-specific and medium-specific suggestions as the communication strategies used differed greatly.

Conclusions

Overall, the findings suggest that no single strategy works best in the case of web-based health care communication. The extreme variability of outcomes and the lack of a unitary measure for assessing the end points of a specific campaign or study lead us to reconsider the tools we use to evaluate the efficacy of web-based health communication.

Not Just for Dancing? A Content Analysis of Concussion and Head Injury Videos on TikTok

Social media platforms are an accessible and increasingly used way for the public to gather healthcare-related information, including on sports injuries. "TikTok" is currently one of the fastest-growing social media platforms worldwide, and it is especially popular amongst adolescents and young adults. The widespread use and popularity of TikTok suggests that this platform has potential to be a source for healthcare information for younger individuals. The aim of this study was to gain a preliminary understanding of the concussion/head injury-related information on TikTok, and to gauge if TikTok could serve as a platform for concussion education. This exploratory study used a systematic search strategy to understand more about how concussion is being portrayed through TikTok videos. Using the keywords "concussion" and "head injury," 200 videos were downloaded from TikTok and 43 videos were excluded. Of the 92 videos retrieved using the keyword "concussion," 95% (n = 88) had more than 100,000 views and 6% (n = 10) had been viewed more than 10 million times. Over half, 54% (n = 50) of the "concussion" videos depicted individuals "playing around" and getting hit in the head, whilst only 1% (n = 1) of the TikTok videos were categorized as "explaining concussion facts." The large numbers of views of concussion-related TikTok videos demonstrates the popularity of this platform and indicates that healthcare organizations should consider TikTok as a potential means for concussion education amongst younger individuals.

What Determines Pig Farmers' Epidemic Coping Behaviors: A Qualitative Analysis of Endemically Infected Areas in Relation to African Swine Fever

An animal epidemic is a big threat for economic development that may seriously disturb the breeding industry and people's normal life. The most effective approach so far for epidemic control is biosecurity, zoning, culling animals exposed, and other relevant measures, which highly demands the cooperation of farmers in epidemic areas. However, an uncooperative phenomenon among individual farmers facing an epidemic has been recorded for a long time and includes unwilling to report the epidemic and selling infected pork. It is important to unravel the determinants of farmers' coping behaviors during an animal epidemic outbreak and use corresponding strategies to reduce farmers' inappropriate behaviors. Taking African Swine Fever (ASF) crisis as an example, this study aimed to reveal the determinants and underlying mechanism of pig farmers' coping behaviors. We adopted qualitative interviews with 45 pig farmers across four endemically infected areas in Hunan provinces, and the data collected were subjected to a grounded theory analysis. Our results showed that emergency response, information sources, and information channels jointly affected pig farmers' epidemic risk perception and their perception of coping behaviors. Meanwhile, both the characteristics of the government and pig farmers moderated this affect. Consequently, by processing information through either a heuristic or an analytical path, pig farmers' behavioral intention was transformed into actual coping behaviors. Our study emphasizes the value of sufficient risk communication, proper compensation policies, and strong public trust in the government for improving the farmers' participation in the epidemic response. Theoretical and practical implications to animal epidemic prevention and control are provided.

Local governments' use of social media during the COVID-19 pandemic: The case of Portugal

While the use of social media by local governments has gained relevance in recent years, crises are critical situations that reinforce the need to reach citizens to disclose information, demonstrate the government's commitment, and increase the citizens' level of preparedness and awareness of resources. This paper examines the factors that influenced local governments' e-disclosure during the first wave of the COVID-19 pandemic. To accomplish this objective, we systematically tracked every post published by the official Facebook page of 304 Portuguese municipalities between March 2 and July 5, 2020. The findings show that financial autonomy is the main predictor of e-disclosure, factors varied on the different phases of the pandemic's first wave, and sociodemographic factors became more prevalent as explanatory factors when the crisis worsened. Our study may help increase the level of preparedness during possible future crises. In particular, establishing communication strategies for prolonged public health crises, making financial resources available for the accomplishment of such strategies, and reducing the digital divide can contribute to more effective disclosure. Future research should explore the dynamics of disclosure during public health crises. This study also highlights the need to incorporate time in research that focuses on the determinants of e-disclosure that could also be tested in normal times.

More collaboration, less seriousness: Investigating new strategies for promoting youth engagement in government-generated videos during the COVID-19 pandemic in China

Effectively engaging citizens during crises is critical for governments to disseminate timely information and help the public to adjust to the constantly changing conditions. In particular, promoting youth engagement not only enhances crisis awareness and resilience among the young generation, but also has a positive impact on youths' social participation and responsibility. With the increasing popularity of online video services, leveraging online videos to disseminate authoritative information has become a method widely adopted by government. To enhance youth awareness and engagement, two new video-based crisis communication strategies have been utilized on a popular youth-targeted video platform Bilibili in China: creating recreational videos such as animation and music videos, and collaborating with individual video-uploaders in video making. However, their impacts and results are largely unknown, which motivates our study. Guided by Entertainment Education (EE) and Collaborative Governance (CG), we report, to our best knowledge, the first systematic study on how recreational video category and government-citizen collaboration would influence youth engagement focusing on 3347 COVID-19-related government-generated videos on Bilibili. This study reveals that recreational videos successfully promote youth engagement including interaction, feedback and sharing. Collaboration with individual uploaders in video making also has a substantially positive impact on youth engagement. Through an in-depth qualitative content analysis of user-generated commentaries, we further unpacked the unique values (e.g., trust work for youth participation) as well as latent limitations (e.g., imbalanced topic distribution) of the two new strategies. We discuss how the findings enrich EE and CG theoretically, and provide practical implications to effective and engaging communication strategies during crises.

Why Do Citizens Share COVID-19 Fact-Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model

Widespread misinformation about COVID-19 poses a significant threat to citizens long-term health and the combating of the disease. To fight the spread of misinformation, Chinese governments have used official social media accounts to participate in fact-checking activities. This study aims to investigate why citizens share fact-checks about COVID-19 and how to promote this activity. Based on the elaboration likelihood model, we explore the effects of peripheral cues (social media capital, social media strategy, media richness, and source credibility) and central cues (content theme and content importance) on the number of shares of fact-checks posted by official Chinese Government social media accounts. In total, 820 COVID-19 fact-checks from 413 Chinese Government Sina Weibo accounts were obtained and evaluated. Results show that both peripheral and central cues play important roles in the sharing of fact-checks. For peripheral cues, social media capital and media richness significantly promote the number of shares. Compared with the push strategy, both the pull strategy and networking strategy facilitate greater fact-check sharing. Fact-checks posted by Central Government social media accounts receive more shares than local government accounts. For central cues, content importance positively predicts the number of shares. In comparison to fact-checks about the latest COVID-19 news, government actions received fewer shares, while social conditions received more shares.

Research on the Influencing Factors of Audience Popularity Level of COVID-19 Videos during the COVID-19 Pandemic

(1) Background: During the COVID-19 pandemic, users share and obtain COVID-19 information through video platforms, but only a few COVID-19 videos become popular among most audiences. Therefore, it is a very interesting and important research question to explore the influencing factors of the popularity of COVID-19 videos during the COVID-19 pandemic; (2) Our research collects video data related to the keyword “COVID-19” on video platform, the data are analyzed by content analysis and empirical analysis. We then constructed a theoretical model based on the information adoption model; (3) A total of 251 videos were divided into three categories. The least common category was the data and analysis category (11.2%), followed by the prevention and control status category (13.5%); the knowledge and general science category was the most common (75.3%). From the perspective of video quality, the information sources of most videos are relatively reliable, and the content of medical information is low. The research results showed that short video lengths, longer descriptions, more reliable video sources and lower medical information content were more popular with audiences. Audiences are more likely to be attracted to videos in the prevention and control status category and knowledge and general science category. Videos uploaded by uploaders who have a higher influence are more popular with audiences; (4) Conclusions: During the COVID-19 pandemic, information quality (video length, description length, video content type, and medical information and content index) and source credibility (information source reliability, influence and certification type) all significantly influence the popularity level of COVID-19 videos. Our research conclusions can provide management suggestions for the platform, make videos released by uploaders more popular with audiences, and help audiences better understand COVID-19 information and make prevention and control efforts.