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This study aims to conduct a bibliometric assessment of existing literature in the fields of health communication and social media in the Asian context.

Using 265 Scopus-indexed papers, a comprehensive bibliometric study was performed, incorporating both performance and science mapping analyses.

The results reveal an increasing trend in the publication of this topic. This study also identified the top author, country, articles and author collaboration clusters. Four primary themes emerged from the publications: “Papillomavirus” and “the COVID-19 pandemic” were categorized as niche themes; “gender and cohort” was identified as a basic theme; and “behavioral intention” was classified as an emerging or declining theme. These can serve as the foundations for future research directions.

This research used only the Scopus database as its data source. However, future bibliometric research could investigate other databases.

This paper has practical implications for researchers, health communication managers, government and policymakers. It provides valuable information that can guide researchers in conducting new studies, fostering collaborations and conducting further bibliometric analyses. Health communication managers can use this paper to design and manage social media-based health communication programs. The government could leverage these findings to support evidence-based policy implementation in the field of health communication.

This study, to the best of the authors’ knowledge, marks the first bibliometric analysis focused on the literature in the field of health communication and social media in the Asian context.

The mounting health misinformation on social media triggers heated discussions about how to address it. Anchored by the influence of presumed influence (IPI) model, this study investigates the underlying process of intentions to combat health misinformation. Specifically, we analyzed how presumed exposure of others and presumed influence on others affect intentions to practice pre-emptive and reactive misinformation countering strategies.

Covariance-based structural equation modeling based on survey data from 690 Chinese participants was performed using the “lavaan” package in R to examine the proposed mechanism.

Personal attention to health information on social media is positively associated with presumed others’ attention to the same information, which, in turn, is related to an increased perception of health misinformation’s influence on others. The presumed influence is further positively tied to two pre-emptive countermeasures (i.e. support for media literacy interventions and institutional verification intention) and one reactive countermeasure (i.e. misinformation correction intention). However, the relationship between presumed influence and support for governmental restrictions, as another reactive countering method, is not significant.

This study supplements the misinformation countering literature by examining IPI’s tenability in explaining why individuals engage in combating misinformation. Both pre-emptive and reactive strategies were considered, enabling a panoramic view of the motivators of misinformation countering compared to previous studies. Our findings also inform the necessity of adopting a context-specific perspective and crafting other-oriented messages to motivate users’ initiative in implementing corrective actions.

This study aimed to examine the impact of perceived risks of COVID-19 and users’ intention to continually use social media for COVID-19 information, thereby revealing social media users’ perceptions and behaviors regarding the pandemic.

The Health Belief Model was used to develop the research model. Data were collected from social media users in Korea using an online survey.

The findings showed that social media users’ intention to continually use social media for COVID-19 information explained 46.5% of the variance in their perceived severity, perceived susceptibility, perceived benefits, and perceived barriers. The degree of impact and relationships varied across the constructs. Two age groups were examined, and it transpired that perceived risks and perceived use were more highly recognized by young users than old users.

This study focused on Korean social media users, providing valuable insights but limiting its generalizability. The proposed research model and methodology can include participants from various countries or cultures to enhance global relevance and diversified perspectives on how perceived risks impact social media use for health information.

This study’s findings can be used to provide tailored health information services to those with different levels of perceived risks, social media use, and different age groups.

This study adopted the Health Belief Model to understand users’ perceptions of COVID-19 information on social media and examined users’ intentions to continue using social media as a channel for COVID-19 information.

The rise in industrialization, economic development and urbanization has altered the composition of atmospheric air. Air pollutants have significantly impacted Pakistan's urban areas, resulting in the lowest air quality index readings. To understand disinclined behavior such as using air purifiers and wearing masks, this study aims to explore the relationship between individual personality traits and mass media effects.

This study used a cross-sectional survey with a model based on previous theories. Data from 2,000 adults were self-administered and analyzed using partial least squares structural equation modeling (PLS-SEM).

PLS-SEM confirmed six hypotheses, revealing mass media's direct and mediating roles in promoting critical psychological perceptions for protective behavior. The empirical results indicate that neuroticism, agreeableness and openness traits reinforce adherence behavior by intensifying threat perception.

This paper highlights significant implications for media campaign planners and provides more precise and comprehensive theoretical guidance. In the context of environmental challenges like smog, the findings illustrate how an understanding of personality traits can improve the efficacy of public health interventions through adherence to behaviors like mask-wearing and air purifier use. Addressing individual psychological characteristics when creating mass media campaigns to encourage public adherence to health protection measures related to environmental hazards.

Despite health campaigns and awareness, public compliance with measures like mask-wearing and air purifier use remains minimal. This study explores untapped mass media effects based on individual personality traits to understand this behavior.

During the COVID-19 pandemic, the public relied heavily on digital media to stay tuned for the latest update. Media preference could increase risk perceptions, although the influence of diverse media exposure remains unknown. Based on protection motivation theory, this study aims to investigate how digital media exposure diversity and information verification influence vaccination intention.

Analyzing survey data from 837 respondents in China, this study examined the effects of digital media exposure on information verification, including their influences on the threat appraisal, coping appraisal, vaccine misinformation beliefs, subjective norms and trust in vaccines.

Results indicate that diversity of digital media exposure increased threat appraisal (perceived severity) and coping appraisal (response efficacy and self-efficacy), while information verification increased only coping appraisal (response efficacy and self-efficacy). In addition, diversity of digital media exposure decreased vaccine misinformation beliefs. Furthermore, digital media exposure and information verification were linked to vaccination intention via the mediations of response efficacy, subjective norms and trust in vaccines.

This study is the first of its kind to investigate media exposure diversity in the context of vaccination and health crises. Our findings extended the PMT framework by exploring proactive information-related behaviors as antecedents of mediation processes. In addition, we examined misinformation beliefs, social norms and trust as societal influences. Theoretical and practical implications are also discussed.

Social media celebrities are getting popular in promotions, and more people have experienced social media to receive information on diet and health tips. This research presents a study showing how social media can influence young people's diet behavior through collaboration with social media celebrities.

Through recruiting on various social media and online education forums, this research recruited 196 young Hongkongers to participate in an online survey developed based on the AIDA (Action, Interest, Desire, Attention) marketing communication model on how youths access diet information from social media celebrities in Hong Kong.

Hong Kong youths consume diet information from social media celebrities through instant messaging systems, social networking sites and online videos, and, in particular, information on food calories and nutrition. However, sponsorship from vendors would decrease their desire to agree with the messages from social media celebrities. After receiving this information, some participants would follow tips and guides from social media celebrities. However, they seldom share such information. Interestingly, males are more willing to follow these tips and guides.

First, this study fills the gap of prior research, which did not study much on how social media celebrities contribute to diet promotion to youths in Asia. Second, through the AIDA Model, this study shows how social media can affect the awareness and accessibility of diet information by young Hongkongers, followed by initiating their interest in this topic and retrieving more relevant information. Furthermore, the authors further understand their desire to follow and improve their behavior as promoted by social media influencers and how they practice such behavior. Based on these findings, health-related brands could consider using social media influencers helping to promote their products and services, and these brands could further use social media to secure customer engagement.

In this chapter, the authors argue that technology can be advantageous to children and young people’s mental health. The authors argue that social media platforms can foster social connection, social support and access to important information to support mental health. The authors also highlight the risks, particularly the research which links technology to mental ill-health. The authors argue that the digital curriculum in schools should develop young people’s knowledge of digital literacy, digital citizenship and digital resilience. Finally, the authors explore the potential role that technological applications (apps) can play in supporting children and young people’s mental health. The authors argue that although research is in its infancy, some studies have produced promising results.

The purpose of this study is to examine the specific social media behaviours (SMB) that lead to major depressive disorder (MDD). The study also looks at the moderation effect of pandemic on social media usage among users.

Using a descriptive approach, the required data was collected from a sample of 629 social media users chosen through random sampling technique. An adopted structured online questionnaire was used to collect the data. The data collected was analysed by using univariate and multinomial regression techniques.

The findings of the study revealed that social media intensity, social media addiction (SMA), social media participation, social interaction and SMB had a positive impact on MDD, whereas social comparison had a negative impact. The pandemic situation has also been found to moderate the effect of social media usage on MDD.

This study will be supportive in disclosing behaviours and activities of students that impact their mental health adversely. This will also be helpful in dealing with specific stressors in the programs designed to cope with the depression. By adopting effective strategies to manage social media usage, the study would help to reduce the level of depressive symptoms among college students, significantly promoting healthy environments for students and, thus, contribute to social change.

Since the social media has both favourable and detrimental effects, the key for the users is to develop an awareness about the wise usage and to determine the alterations in the usage patterns that can help to reduce the behaviours associated with negative emotions and psychological distress.

This chapter provides an overview of the current state of college student mental health. It describes the contextual factors affecting college students’ mental health, such as institutional funding devoted to students’ wellbeing; the COVID-19 pandemic and its consequences; and sociopolitical realities such as racism, gun violence and anti-Semitism. The sensationalistic and opportunistic portrayal of college student mental health in popular media is explored, as are the positive and negative effects of social media on students’ wellbeing. Finally, the current scene with regard to college student mental health is placed in a historical context to highlight long-standing concerns and changing trends facing today’s college students.

This study aims to explore the Facebook communication strategies of Spanish hospitals during health emergencies, focusing on their role in crisis management and public information dissemination.

Automatic topic modelling and deep learning sentiment analysis were applied to analyse 151,738 posts from 274 hospital Facebook pages (March 2020–Feb 2022). Regression analyses were used to explore the relationships between topics, sentiment scores and hospital characteristics.

The analysis revealed nine main topics, with the three most prevalent related to COVID-19: vaccine information, security measures and situational updates. This indicates that Spanish hospitals significantly relied on Facebook to manage the emergency. The communication strategies dynamically adapted to the intensity of the pandemic and varied across hospital types. Sentiment analysis showed a negative tone for posts about security measures and situational updates. These findings align with the Agenda-Setting Theory, suggesting that hospitals influenced public discourse. Vaccine information posts were more positive, resonating with the Uses and Gratifications Theory by fulfilling the audience’s need for reassurance and guidance.

Using replicable machine learning techniques, this study elucidates the communication strategies employed by Spanish hospitals to manage healthcare emergencies, such as the COVID-19 pandemic. It highlights factors that potentially influence these strategies and provides theoretical justifications for them. The variation in communication strategies on Facebook among different hospital categories underscores the imperative for stricter guidelines and regulations to guarantee consistent and reliable communication during emergencies. This research provides valuable insights for practitioners and policymakers aimed at developing effective health communication strategies on social media.