COVID-19: Retransmission of official communications in an emerging pandemic

COVID-19 health Messaging: How Message Frame and Individual Differences in Collectivism and Perceived Risk Influence Intention for Mask Wearing and Vaccination

This study examines how message frame and individual differences in collectivism and perceived risk influence intention to engage in precautionary measures for COVID-19. We investigate the relationships with two types of preventive measures that differ in features relevant to the message frame hypothesis like uncertainty or perceived risk about outcome of the health behaviors: vaccination and mask-wearing. We conducted two separate online experiments for each preventive behavior, respectively. The results reveal that individuals with a moderate collectivist orientation had a higher intention to wear a face mask than those with a very low collectivist orientation when exposed to the gain-framed message, but there was no difference in the loss-framed message. The results were only significant among people with low perceived risk of COVID-19. No such effects are found for vaccination intention.

Fighting Fire or Fighting War: Examining the Framing Effects of COVID-19 Metaphors

Metaphorical language describing the COVID-19 pandemic as a war has been pervasive in public discourse (e.g. "the pandemic is a war," "the virus is an enemy," and "the vaccine is a weapon"). This study employs an online survey experiment (N = 551 U.S. adults) to examine the impact of war metaphors compared to non-metaphorical literal frames and fire metaphors (e.g. "the pandemic is a wildfire"). War metaphors exhibited little advantage over literal frames across a variety of desirable outcomes (i.e. the adoption of pro-health behaviors against COVID-19, perceived solidarity and collective responsibility to curb the pandemic, and intentions to discuss and share the health news with others). However, this study revealed some benefits of war metaphors over fire metaphors. Compared with fire metaphors, health news featuring war metaphors increased both positive emotions and perceived threats of COVID-19, which in turn promoted pro-health behaviors against COVID-19 and perceived solidarity to cope with the public health crisis. Moreover, positive emotions in response to war metaphors also indirectly encouraged the retransmission of science-based COVID-19 health news. This study thus showcased the benefits and limitations of war metaphors and revealed the mediating roles of perceived threats and positive emotions in explaining war metaphorical framing effects. Implications of using war and fire metaphors for communicating about public health crises are also discussed.

Social Media Users' Engagement with Fear Appeal Elements in Government's Health Crisis Communication via State-Owned Media

Government health messaging is significant to the containment of public health crises. Such communication may benefit from using fear appeal, a message strategy for promoting health and preventing diseases. Yet little scholarly attention has been paid to how fear appeal is employed in government messaging to promote social media engagement through online actions including likes, shares, and comments. These actions play a meaningful role in addressing communication exigencies within the context of health crises. In this study, quantitative content analysis and corpus linguistics methods were employed to analyze fear appeal-related elements in COVID-19 messages sent by a state-owned media outlet on social media. The results show that when compared to messages without threat, messages conveying threat elicited significantly more comments, in which emotions and perceptions to threat and efficacy were exhibited, while messages containing both threat and efficacy generated more engagement in comparison to messages with threat alone. Moreover, while subdimensions under efficacy were positive predictors of engagement, those under threat were primarily found to have exerted negative effects. The findings provide insights into how fear appeal elements can be employed in government health crisis communication to engage the public.

Reprint of: COVID-19 messaging in U.S. state parks: Extensions of the outdoor recreation strategies and practices framework unmasked by the pandemic

U.S. state parks are a considerable part of the nation's recreation landscape. Understanding their management concerns, including impacts from pandemics, is imperative for sustainably achieving park objectives. Our study aimed to 1) examine park managers' responses to a novel stressor (COVID-19); 2) aid managers in communicating these strategies to visitors in their pre-visit phase; and 3) test a park management framework's ability to adapt to this novel stressor in this pre-visit phase. Manning and colleagues' outdoor recreation strategies and practices framework provides parks with up to 24 response options to an issue: four strategies intersecting with six practices. This framework has been limited to common in-park concerns and visitors. We examined how park systems communicate with potential visitors about COVID-19, to advance the framework toward broader concerns and scales. We analyzed the 50 U.S. state park systems' official COVID-19 communications at the traditional start of the peak use season (summer 2020). We qualitatively coded these for reference to the framework's components and mentions of scale. This highlighted that while "limit use" and "reduce impact of use" were the only strategies used, different practices and recognitions of beyond-park and beyond-visit scales were acknowledged (e.g., "please recreate close to home"). We suggest the data reveal a seventh practice in use and for framework inclusion: "influence pre-visit decisions." The pandemic provided an opportunity for parks to communicate their managerial responses with consistency and creativity, as well as an opportunity for researchers and managers to advance the strategies and practices framework.

Management implications

The temporal issue of COVID-19 as a stressor and the spatial nature of its impact across whole social landscapes implores park managers to pay special attention to the critical time in a potential visitor's visit-cycle: the planning and anticipation stages. It is here that effective messaging about the park's integration of expert authority data, detailed communication about park-level responses, and awareness of beyond-park contexts can help potential visitors decide how to safely recreate. This examination highlights the importance of pre-visit safety messaging and provides specific examples of how the outdoor recreation strategies and practices framework can assist park managers in targeting visitor use management communications and actions. Given this strategies and practices framework's usefulness to park managers and ubiquity across parks, we examine ways to expand it to consider broader and emergent contexts.

Anthropause appreciation, biophilia, and ecophilosophical contemplations amidst a global pandemic

In 2020, COVID-19 mitigation measures, including lockdowns and travel bans to curtail disease transmission, inadvertently led to an "Anthropause" - a unique global pause to anthropogenic activities. While there was a spike in ecological studies measuring Anthropause effects on environmental indicators, people's experiences of the Anthropause or its potential to inspire change were hardly considered. Hence, we aimed to measure people's appreciation of the environmental outcomes of the Anthropause, ecophilosophical contemplations about the pandemic, and experiences of lockdown-triggered biophilia (human's innate love for and draw towards nature) and test the hypothesis that these experiences would be consistently more prominent among the already environmentally inclined. To that end, we developed and tested three measures on a representative sample of 993 New Zealanders. Anthropause Appreciation received the highest overall mean ratings, followed by Lockdown-Biophilia and Eco-Contemplation. Pre-existing pro-environmental dispositions and behaviours did not consistently influence our three measures as expected. Demographic variables had little influence, while experiences of financial and mental health impacts due to COVID-19 had no influence. We interpreted the limited influence of explanatory variables as indicative of a degree of uniformity in people's experiences. High appreciation of Anthropause benefits suggests that the public may be supportive of policies and ways of living that can lead to similar outcomes post-pandemic - offering environmental policymakers and communicators a basis for action. Ecophilosophical contemplations and biophilic draw among the public suggest an awareness of the significance of the human-nature relationship - offering a symbolic global keystone for communicating and advocating conservation and the many values of pauses in life to connect with nature. Building women's environmental leadership capabilities and the ongoing greening of Christianity may be essential steps for global post-pandemic environmental behaviour transformations.

Communicating COVID-19 Risk on Instagram: A Content Analysis of Official Public Health Messaging During the First Year of the Pandemic

Early in the COVID-19 pandemic, social media platform Instagram surged in popularity as a source of health information. Both the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) leveraged Instagram accounts to publicly distribute COVID-related information. The current study investigated whether WHO and CDC messaging strategies on Instagram adhered to best practices defined by two theoretical frameworks: the extended parallel process model and crisis and emergency risk communication. We conducted a quantitative content analysis of COVID-related posts (n = 726) published between January-December 2020 to determine how both agencies (1) communicated the threat of the pandemic (e.g. susceptibility and severity of negative COVID-19 consequences); (2) appealed to self-, response, and collective efficacy; (3) incorporated cues to action (e.g. preventive behaviors, information seeking); and (4) leveraged credibility cues (e.g. scientific evidence, experts). Results showed threat information was limited, whereas efficacy appeals and cues to action were abundant. The CDC relied more heavily on depictions of self- and response efficacy, whereas the WHO appealed more frequently than the CDC to collective efficacy. Neither visually modeled behaviors nor leveraged scientific evidence or experts with great frequency. Implications for future research and official communication efforts via social media are discussed.

The road to recovery: Sensing public opinion towards reopening measures with social media data in post-lockdown cities

The COVID-19 pandemic has resulted in cities implementing lockdown measures, causing unprecedented disruption (e.g. school/shop/office closures) to urban life often extending over months. With the spread of COVID-19 now being relatively contained, many cities have started to ease their lockdown restrictions by phases. Following the phased recovery strategy proposed by the UK government following the first national lockdown, this paper utilises Greater London as its case study, selecting three main reopening measures (i.e., schools, shops and hospitality reopening). This paper applies sentiment analysis and topic modelling to explore public opinions expressed via Twitter. Our findings reveal that public attention towards the reopening measures reached a peak before the date of policy implementation. The attitudes expressed in discussing reopening measures changed from negative to positive. Regarding the discussed topics related to reopening measures, we find that citizens are more sensitive to early-stage reopening than later ones. This study provides a time-sensitive approach for local authorities and city managers to rapidly sense public opinion using real-time social media data. Governments and policymakers can make use of the framework of sensing public opinion presented herein and utilise it in leading their post-lockdown cities into an adaptive, inclusive and smart recovery.

Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook

BACKGROUND

Public health agencies widely adopt social media for health and risk communication. Moreover, different platforms have different affordances, which may impact the quality and nature of the messaging and how the public engages with the content. However, these platform effects are not often compared in studies of health and risk communication and not previously for the COVID-19 pandemic.

OBJECTIVE

This study measures the potential media effects of Twitter and Facebook on public health message design and engagement by comparing message elements and audience engagement in COVID-19-related posts by local, state, and federal public health agencies in the United States during the pandemic, to advance theories of public health messaging on social media and provide recommendations for tailored social media communication strategies.

METHODS

We retrieved all COVID-19-related posts from major US federal agencies related to health and infectious disease, all major state public health agencies, and selected local public health departments on Twitter and Facebook. A total of 100,785 posts related to COVID-19, from 179 different accounts of 96 agencies, were retrieved for the entire year of 2020. We adopted a framework of social media message elements to analyze the posts across Facebook and Twitter. For manual content analysis, we subsampled 1677 posts. We calculated the prevalence of various message elements across the platforms and assessed the statistical significance of differences. We also calculated and assessed the association between message elements with normalized measures of shares and likes for both Facebook and Twitter.

RESULTS

Distributions of message elements were largely similar across both sites. However, political figures (P<.001), experts (P=.01), and nonpolitical personalities (P=.01) were significantly more present on Facebook posts compared to Twitter. Infographics (P<.001), surveillance information (P<.001), and certain multimedia elements (eg, hyperlinks, P<.001) were more prevalent on Twitter. In general, Facebook posts received more (normalized) likes (0.19%) and (normalized) shares (0.22%) compared to Twitter likes (0.08%) and shares (0.05%). Elements with greater engagement on Facebook included expressives and collectives, whereas posts related to policy were more engaged with on Twitter. Science information (eg, scientific explanations) comprised 8.5% (73/851) of Facebook and 9.4% (78/826) of Twitter posts. Correctives of misinformation only appeared in 1.2% (11/851) of Facebook and 1.4% (12/826) of Twitter posts.

CONCLUSIONS

In general, we find a data and policy orientation for Twitter messages and users and a local and personal orientation for Facebook, although also many similarities across platforms. Message elements that impact engagement are similar across platforms but with some notable distinctions. This study provides novel evidence for differences in COVID-19 public health messaging across social media sites, advancing knowledge of public health communication on social media and recommendations for health and risk communication strategies on these online platforms.

A content analysis of Canadian influencer crisis messages on Instagram and the public’s response during COVID-19

Successful mitigation of emerging infectious disease requires that the public adopt recommended behaviours, which is directly influenced by effective crisis communication. Social media has become an important communication channel during COVID-19 where official actors, influencers, and the public are co-creating crisis messages. Our research examined COVID-19-related crisis messages across Canadian influencer accounts within news media, politicians, public health and government, science communicators, and brand influencer and celebrities, posted on Instagram between December 2019 and March 2021 for Health Belief Model and Extended Parallel Processing Model constructs and the corresponding public comment sentiment and engagement. Thirty-three influencer accounts resulted in a total of 2,642 Instagram posts collected, along with 461,436 comments, which showed overall low use of constructs in both captions and images. Further, most posts used no combinations (n = 0 or 1 construct per post) of constructs in captions and images and very infrequently used captions that combined threat (severity and susceptibility) with cues to action and efficacy. Brand influencers and celebrities, politicians, and science communicators had above average post engagement while public health and government and news media had lower. Finally, most influencers saw the largest proportion of neutral sentiment comments. Crisis messages must be designed to include combinations of constructs that increase message acceptance and influence risk perception and efficacy to increase the adoption of recommended and mandated behaviours.

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.

COVID-19 messaging in U.S. state parks: Extensions of the outdoor recreation strategies and practices framework unmasked by the pandemic

U.S. state parks are a considerable part of the nation's recreation landscape. Understanding their management concerns, including impacts from pandemics, is imperative for sustainably achieving park objectives. Our study aimed to 1) examine park managers' responses to a novel stressor (COVID-19); 2) aid managers in communicating these strategies to visitors in their pre-visit phase; and 3) test a park management framework's ability to adapt to this novel stressor in this pre-visit phase. Manning and colleagues' outdoor recreation strategies and practices framework provides parks with up to 24 response options to an issue: four strategies intersecting with six practices. This framework has been limited to common in-park concerns and visitors. We examined how park systems communicate with potential visitors about COVID-19, to advance the framework toward broader concerns and scales. We analyzed the 50 U.S. state park systems' official COVID-19 communications at the traditional start of the peak use season (summer 2020). We qualitatively coded these for reference to the framework's components and mentions of scale. This highlighted that while "limit use" and "reduce impact of use" were the only strategies used, different practices and recognitions of beyond-park and beyond-visit scales were acknowledged (e.g., "please recreate close to home"). We suggest the data reveal a seventh practice in use and for framework inclusion: "influence pre-visit decisions." The pandemic provided an opportunity for parks to communicate their managerial responses with consistency and creativity, as well as an opportunity for researchers and managers to advance the strategies and practices framework.

Management implications

The temporal issue of COVID-19 as a stressor and the spatial nature of its impact across whole social landscapes implores park managers to pay special attention to the critical time in a potential visitor's visit-cycle: the planning and anticipation stages. It is here that effective messaging about the park's integration of expert authority data, detailed communication about park-level responses, and awareness of beyond-park contexts can help potential visitors decide how to safely recreate. This examination highlights the importance of pre-visit safety messaging and provides specific examples of how the outdoor recreation strategies and practices framework can assist park managers in targeting visitor use management communications and actions. Given this strategies and practices framework's usefulness to park managers and ubiquity across parks, we examine ways to expand it to consider broader and emergent contexts.

Emergency Response and Risk Communication Effects of Local Media during COVID-19 Pandemic in China: A Study Based on a Social Media Network

As the country where the COVID-19 was first reported and initially broke out, China has controlled the spread of the pandemic well. The pandemic prevention process included emergency response and risk communication, both of which could notably increase public participation, people's anxiety has been alleviated, their confidence in the government has been enhanced, and the implementation of prevention and control measures has been understood. This study selected 157,283 articles published by 447 accounts across 326 cities in February 2020 from WeChat, the largest social media application in China, to systematically compare the spatial distributions in the effectiveness of emergency responses and risk communication. The results showed that there were significant regional differences in the effectiveness of emergency response and risk communication during the pandemic period in China. The effectiveness of emergency response and risk communication are related to the exposure risk to the COVID-19, the level of economy, culture, and education of the region, the type of accounts and articles, and the ranking of the articles in posts. The timeliness and distribution types of articles should take into account the psychological changes in communication recipients to avoid the dissemination of homogenized information to the masses and the resulting information receiving fatigue period.

Understanding the effects of message cues on COVID-19 information sharing on Twitter

Analyzing and documenting human information behaviors in the context of global public health crises such as the COVID‐19 pandemic are critical to informing crisis management. Drawing on the Elaboration Likelihood Model, this study investigates how three types of peripheral cues—content richness, emotional valence, and communication topic—are associated with COVID‐19 information sharing on Twitter. We used computational methods, combining Latent Dirichlet Allocation topic modeling with psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count dictionary to measure these concepts and built a research model to assess their effects on information sharing. Results showed that content richness was negatively associated with information sharing. Tweets with negative emotions received more user engagement, whereas tweets with positive emotions were less likely to be disseminated. Further, tweets mentioning advisories tended to receive more retweets than those mentioning support and news updates. More importantly, emotional valence moderated the relationship between communication topics and information sharing—tweets discussing news updates and support conveying positive sentiments led to more information sharing; tweets mentioning the impact of COVID‐19 with negative emotions triggered more sharing. Finally, theoretical and practical implications of this study are discussed in the context of global public health communication.

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

BACKGROUND

COVID-19 is still rampant all over the world. Until now, the COVID-19 vaccine is the most promising measure to subdue contagion and achieve herd immunity. However, public vaccination intention is suboptimal. A clear division lies between medical professionals and laypeople. While most professionals eagerly promote the vaccination campaign, some laypeople exude suspicion, hesitancy, and even opposition toward COVID-19 vaccines.

OBJECTIVE

This study aims to employ a text mining approach to examine expression differences and thematic disparities between the professionals and laypeople within the COVID-19 vaccine context.

METHODS

We collected 3196 answers under 65 filtered questions concerning the COVID-19 vaccine from the China-based question and answer forum Zhihu. The questions were classified into 5 categories depending on their contents and description: adverse reactions, vaccination, vaccine effectiveness, social implications of vaccine, and vaccine development. Respondents were also manually coded into two groups: professional and laypeople. Automated text analysis was performed to calculate fundamental expression characteristics of the 2 groups, including answer length, attitude distribution, and high-frequency words. Furthermore, structural topic modeling (STM), as a cutting-edge branch in the topic modeling family, was used to extract topics under each question category, and thematic disparities were evaluated between the 2 groups.

RESULTS

Laypeople are more prevailing in the COVID-19 vaccine-related discussion. Regarding differences in expression characteristics, the professionals posted longer answers and showed a conservative stance toward vaccine effectiveness than did laypeople. Laypeople mentioned countries more frequently, while professionals were inclined to raise medical jargon. STM discloses prominent topics under each question category. Statistical analysis revealed that laypeople preferred the "safety of Chinese-made vaccine" topic and other vaccine-related issues in other countries. However, the professionals paid more attention to medical principles and professional standards underlying the COVID-19 vaccine. With respect to topics associated with the social implications of vaccines, the 2 groups showed no significant difference.

CONCLUSIONS

Our findings indicate that laypeople and professionals share some common grounds but also hold divergent focuses toward the COVID-19 vaccine issue. These incongruities can be summarized as "qualitatively different" in perspective rather than "quantitatively different" in scientific knowledge. Among those questions closely associated with medical expertise, the "qualitatively different" characteristic is quite conspicuous. This study boosts the current understanding of how the public perceives the COVID-19 vaccine, in a more nuanced way. Web-based question and answer forums are a bonanza for examining perception discrepancies among various identities. STM further exhibits unique strengths over the traditional topic modeling method in statistically testing the topic preference of diverse groups. Public health practitioners should be keenly aware of the cognitive differences between professionals and laypeople, and pay special attention to the topics with significant inconsistency across groups to build consensus and promote vaccination effectively.

Health authorities' health risk communication with the public during pandemics: a rapid scoping review

BACKGROUND

Responses from the H1N1 swine flu pandemic and the recent COVID-19 coronavirus pandemic provide an opportunity for insight into the role of health authorities' ways of communicating health risk information to the public. We aimed to synthesise the existing evidence regarding different modes of communication used by health authorities in health risk communication with the public during a pandemic.

METHODS

We conducted a rapid scoping review. MEDLINE and EMBASE were searched for publications in English from January 2009 through October 2020, covering both the full H1N1 pandemic and the response phase during the COVID-19 pandemic. The search resulted in 1440 records, of which 48 studies met our eligibility criteria.

RESULTS

The present review identified studies across a broad interdisciplinary field of health risk communication. The majority focused on the H1N1 pandemic and the COVID-19 pandemic. A content analysis of the studies identified three categories for modes of communication: i) communication channels, ii) source credibility and iii) how the message is communicated. The identified studies on social media focused mainly on content and engagement, while studies on the effect of the use of social media and self-protective behaviour were lacking. Studies on the modes of communication that take the diversity of receivers in the field into account are lacking. A limited number of studies of health authorities' use of graphic and audio-visual means were identified, yet these did not consider/evaluate creative communication choices.

CONCLUSION

Experimental studies that investigate the effect of health authorities' videos and messages on social media platforms and self-protective behaviour are needed. More studies are needed across the fields of health risk communication and media studies, including visual communication, web design, video and digital marketing, at a time when online digital communication is central to reaching the public.

Non-pharmaceutical interventions during the COVID-19 pandemic: A review

Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travel bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 348 articles written by more than 2518 authors in the first 12 months of the emergency. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunities.

Social Media Use for Health Purposes: Systematic Review

Background

Social media has been widely used for health-related purposes, especially during the COVID-19 pandemic. Previous reviews have summarized social media uses for a specific health purpose such as health interventions, health campaigns, medical education, and disease outbreak surveillance. The most recent comprehensive review of social media uses for health purposes, however, was conducted in 2013. A systematic review that covers various health purposes is needed to reveal the new usages and research gaps that emerge in recent years.

Objective

This study aimed to provide a systematic review of social media uses for health purposes that have been identified in previous studies.

Methods

The researchers searched for peer-reviewed journal articles published between 2006 and 2020 in 12 databases covering medicine, public health, and social science. After coding the articles in terms of publication year, journal area, country, method, social media platform, and social media use for health purposes, the researchers provided a review of social media use for health purposes identified in these articles.

Results

This study summarized 10 social media uses for various health purposes by health institutions, health researchers and practitioners, and the public.

Conclusions

Social media can be used for various health purposes. Several new usages have emerged since 2013 including advancing health research and practice, social mobilization, and facilitating offline health-related services and events. Research gaps exist regarding advancing strategic use of social media based on audience segmentation, evaluating the impact of social media in health interventions, understanding the impact of health identity development, and addressing privacy concerns.

What social media told us in the time of COVID-19: a scoping review

With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation.

Cutting Through the Noise: Predictors of Successful Online Message Retransmission in the First 8 Months of the COVID-19 Pandemic

In this paper, we investigate how message construction, style, content, and the textual content of embedded images impacted message retransmission over the course of the first 8 months of the coronavirus disease 2019 (COVID-19) pandemic in the United States. We analyzed a census of public communications (n = 372,466) from 704 public health agencies, state and local emergency management agencies, and elected officials posted on Twitter between January 1 and August 31, 2020, measuring message retransmission via the number of retweets (ie, a message passed on by others), an important indicator of engagement and reach. To assess content, we extended a lexicon developed from the early months of the pandemic to identify key concepts within messages, employing it to analyze both the textual content of messages themselves as well as text included within embedded images (n = 233,877), which was extracted via optical character recognition. Finally, we modelled the message retransmission process using a negative binomial regression, which allowed us to quantify the extent to which particular message features amplify or suppress retransmission, net of controls related to timing and properties of the sending account. In addition to identifying other predictors of retransmission, we show that the impact of images is strongly driven by content, with textual information in messages and embedded images operating in similar ways. We offer potential recommendations for crafting and deploying social media messages that can “cut through the noise” of an infodemic.