Social support, belongingness, and value co-creation behaviors in online health communities

"The Materials Didn't Really Seem to Apply to Me": A Focus-Group Study on Young Women's Needs and Perspectives on Breast Cancer Educational Material

Young women breast cancer survivors face unique challenges in navigating diagnosis and treatment information while also navigating their own life demands (i.e., fertility, childcare, careers). Special consideration to printed and online cancer educational materials distributed to young women should be evaluated for their suitability, but few studies have investigated the educational preferences and needs of young women cancer survivors. We sought to explore young women breast cancer survivors' needs and preferences regarding cancer educational material from diagnosis to survivorship. We used a qualitative design with convenience sampling of young women breast cancer survivors who completed active treatment at a medical center within the last 5 years to participate in semi-structured online focus groups from November 2020 to May 2021. Thirty-three young women (75.8% White, 12.1% Black, 12.1% other) participated in one of seven online focus groups, each lasting approximately 2 h. Four dominant themes emerged from the data: (1) initial interaction with online materials; (2) reasons for seeking printed and online materials; (3) disconnection of visuals; and (4) recommendations. Our findings revealed that young women were initially hesitant to seek online information, but later sought printed and online information after specific endorsement of materials. Current breast cancer materials lack content specific to young women's needs (i.e., reconstruction options), and graphics have little age and racial diversity. Oncology nurses may consider novel methods of education delivery, such as short videos to be shared easily on social media for specific content like scarring results and reconstruction options.

What Drives Health Information Exchange on Social Media? Social Media Affordances and Social Support Perspectives

Despite the prevalence of health communication on social media, the mechanisms by which social media affect health information exchange have received less than adequate investigation. By integrating the lenses of affordance and social support, this study examines the effect of social media affordances on health information exchange, with a particular focus on the mediation effect of social support and the boundary condition of health consciousness. Results of an online survey indicated that the affordances of information accessibility and metavoicing are positively related to both general and experiential informational support. Moreover, the affordance of association is positively related to experiential informational support and emotional support. Additionally, three types of social support have positive effects on health information exchange, and health consciousness positively moderates the effect of experiential informational support on health information exchange. This study enriches existing literature by revealing the underlying mechanisms and boundary conditions of the relationship between social media affordances and health information exchange. Furthermore, it provides new insights for practitioners to promote health information exchange on social media.

Fitness self-presentations on social media and the impact of social support on physical activities

Social media serves as one of the primary outlets for self-presentation and receiving social support. Even when individuals portray themselves negatively, it might not necessarily be intended for social disapproval. Conversely, positive self-presentation doesn't always guarantee social support. This study examined the relationship between positive and negative fitness self-presentations on social media and the reception of supportive feedback. Additionally, it investigated how social support might influence individuals' self-efficacy, motivation, and participation in physical activities (PA). Participants were fitness app users recruited from a crowdsourcing internet marketplace who had shared their fitness experiences on social media. The results indicated that both types of self-presentation received social support: presenters receiving more social support showed higher self-efficacy for PA. Moreover, fitness posters with higher self-efficacy in PA showed greater motivation for PA. This research suggests that fitness self-presentation allows users to receive social support, fostering confidence and motivation for engaging in PA.

Pathways of Media Contact to Health Literacy in Middle-Aged and Older People: The Chain Mediation Effect of Perceived Social Support and Self-Efficacy

Objective

To understand the status of media exposure, social support, self-efficacy, and health literacy among middle-aged and older adults in China, and explore the impact path of media exposure on the health literacy of this population, providing a reference for promoting their physical and mental health.

Methods

From July to November 2022, a multi-stage random sampling method was employed to survey 16,938 Chinese middle-aged and older adults aged 46 and above. Structural equation modeling and statistical analysis were conducted using LISREL 8.8 and Mplus 8.3 software.

Results

The average score for media exposure among Chinese middle-aged and older adults was (18.55±5.36), perceived social support was (60.68±12.51), self-efficacy was (28.76±5.40), and health literacy was (35.49±6.05). Statistical results revealed that media exposure has a positive impact on the health literacy of middle-aged and older adults, with a direct effect of 0.091 (p < 0.001). Mediation analysis showed that media exposure can affect the health literacy of this population through the independent mediating effects of perceived social support (β = 0.013, p < 0.001) and self-efficacy (β = 0.029, p < 0.001), as well as through a chain mediation effect involving perceived social support and self-efficacy (β = 0.015, p < 0.001).

Conclusion

As a pathway for health information dissemination, media exposure plays a crucial role in the intervention of health literacy among middle-aged and older adults. Perceived social support and self-efficacy not only have independent mediating effects but also significant chain mediating effects in the relationship between media exposure and health literacy among this population. Therefore, improving the health literacy of middle-aged and older people can be popularized through media and improved in a multi-path, all-round, and precise way with the help of related technologies and social forces from which media literacy can be improved.

The Effect of Characteristics of Patient Communication on Physician Feedback in Online Health Communities: An Observational Cross-Sectional Study

With the rapid development of e-health and telemedicine, previous studies have explored the relationship between physician-patient communication and patient satisfaction; however, there is a paucity of research on the influence of the characteristics of patient communication on the characteristics of physician feedback. Based on the communication accommodation theory, as well as the computer-mediated communication theory and media richness theory, this study aimed to explore how characteristics of patient communication influence characteristics of physician feedback in online health communities. We employed a crawler software to download the communication data between 1652 physicians and 105,325 patients from the Good Doctor platform, the biggest online health community in China. We built an empirical model using this data and employed a multilevel model to test our hypotheses using Stata and Python software. The results indicate that the amount of patients' rendered information positively influences the physicians' text (α = 0.123, t = 33.147, P < .001) and voice feedback (β = 0.201, t = 40.011, P < .001). Patients' hope for help signals and the provision of their electronic health records weaken the effect of the amount of patients' rendered information on physicians' text feedback (α = -0.040, t = -24.857, P < .001; α = -0.048, t = -15.784, P < .001), whereas, it strengthened the effect of the amount of patients' rendered information on physicians' voice feedback (β = 0.033, t = 14.789, P < .001; β = 0.017, t = 4.208, P < .001). Moreover, the occurrence of high-privacy diseases strengthened the effect of the amount of patients' presented information on physicians' text and voice feedback (α = 0.023, t = 4.870, P < .001; β = 0.028, t = 4.282, P < .001). This research contributes to the development of computer-mediated communication theories and sheds light on service delivery in the online health community.

Multiple-Perspective Data-Driven Analysis of Online Health Communities

The growth of online health communities and socially generated health-related content has the potential to provide considerable value for patients and healthcare providers alike. For example, members of the public can acquire medical knowledge and interact with others online. However, the volume of information-and the consequent 'noise' associated with large data volumes-can create difficulties for users. In this paper, we present a data-driven approach to better understand these data from multiple stakeholder perspectives. We utilise three techniques-sentiment analysis, content analysis, and topic analysis-to analyse user-generated medical content related to Lyme disease. We use a supervised feature-based model to identify sentiments, content analysis to identify concepts that predominate, and latent Dirichlet allocation strategy as an unsupervised generative model to identify topics represented in the discourse. We validate that applying three different analytic methods highlights differing aspects of the information different stakeholders will be interested in based on the goals of different stakeholders, expert opinion, and comparison with patient information leaflets.

The effects of factors on the motivations for knowledge sharing in online health communities: A benefit-cost perspective

Online health communities (OHCs) provide knowledge for users, enabling conversations across a broad range of health topics. The development of OHCs depends on users' motivations to share health knowledge. Yet little literature has explored how perceived benefits and costs affect users' motivations for sharing both general and specific knowledge. Based on social exchange theory, we propose a research model that comprises intrinsic benefits (sense of self-worth, satisfaction), extrinsic benefits (social support, reputation, and online attention), cognitive cost, and executional cost to investigate the effects of these factors on users' motivations for general and specific knowledge sharing. We compare the different effects of these factors on users' motivations for knowledge sharing. Results demonstrate positive effects of intrinsic and extrinsic benefits on users' motivations for general and specific knowledge sharing. Differences exist in the negative effects of cognitive and executional costs on users' motivations for general and specific knowledge sharing. This study contributes to promoting the enrichment of online health knowledge and provides implications for the development of OHCs.

Examining retweeting behavior on social networking sites from the perspective of self-presentation

On social networking sites, people can express themselves in a variety of ways such as creating personalized profiles, commenting on some topics, sharing their experiences and thoughts. Among these technology-enabled features, retweeting other-sourced tweet is a powerful way for users to present themselves. We examine users' retweeting behavior from the perspective of online identity and self-presentation. The empirical results based on a panel dataset crawled from Twitter reveal that, people are prone to retweet topics they are interested in and familiar with, in order to convey a consistent and clear online identity. In addition, we also examine which user groups exhibit a stronger propensity for a clear online identity, considering the practical value of these users to both social media platforms and marketers. By integrating self-presentation theory with social influence theory and social cognitive theory, we propose and confirm that users with higher value in online self-presentation efficacy and users who are more involved with the social media platform have a stronger than average propensity to maintain a consistent online identity, and thus are more likely to retweet familiar topics. These users are characterized by (1) owning a larger number of followers, (2) authoring longer and more original tweets than average, (3) being active in retweeting other-sourced posts. This study contributes to our understanding of SNS users' retweeting behavior and adds to the emerging line of research on online identity. It also provides insights on how microblogging service providers and enterprises can promote people's retweeting behavior.

The quality of informational social support in online health communities: A content analysis of cancer-related discussions

Objective

Informational social support is one of the main reasons for patients to visit online health communities (OHCs). Calls have been made to investigate the objective quality of such support in the light of a worrying number of inaccurate online health-related information. The main aim of this study is to conceptualize the Quality of Informational Social Support (QISS) and develop and test a measure of QISS for content analysis. A further aim is to investigate the level of QISS in cancer-related messages in the largest OHC in Slovenia and examine the differences among various types of discussion forums, namely, online consultation forums, online support group forums, and socializing forums.

Methods

A multidimensional measurement instrument was developed, which included 20 items in a coding scheme for a content analysis of cancer-related messages. On a set of almost three million posts published between 2015 and 2019, a machine-learning algorithm was used to detect cancer-related discussions in the OHC. We then identified the messages providing informational social support, and through quantitative content analysis, three experts coded a random sample of 403 cancer-related messages for the QISS.

Results

The results demonstrate a good level of interrater reliability and agreement for a QISS scale with six dimensions, each demonstrating good internal consistency. The results reveal large differences among the social support, socializing, and consultation forums, with the latter recording significantly higher quality in terms of accuracy (M = 4.48, P < .001), trustworthiness (M = 4.65, P < .001), relevance (M = 3.59, P < .001), and justification (M = 3.81, P = .05) in messages providing informational social support regarding cancer-related issues.

Conclusions

This study provides the research field with a valid tool to further investigate the factors and consequences of varying quality of information exchanged in supportive communication. From a practical perspective, OHCs should dedicate more resources and develop mechanisms for the professional moderation of health-related topics in socializing forums and thereby suppress the publication and dissemination of low-quality information among OHC users and visitors.

Impact of Social Support and Reciprocity on Consumer Well-Being in Virtual Medical Communities

This study pursues a better understanding of consumer well-being in online medical cosmetics communities by investigating the antecedents of well-being and moderating influence of community norms. A total valid sample of 484 respondents was collected from 2 popular medical cosmetics discussion platforms. A partial least squares analysis was used to validate the research model. Emotional support, informational support, and sense of belonging were important predictors of well-being. Among these 3 antecedents, emotional support showed the strongest influence on consumer well-being. Sense of belonging was significantly and positively influenced by emotional support and reciprocity, and hence plays a pivotal role in mediating the effects of emotional support and reciprocity on well-being. However, informational support does not appear to significantly influence sense of belonging. Members' compliance with community norms positively moderates the influence of sense of belonging on well-being. This study contributes to the literature on realizing members' social behaviors specifically in virtual medical cosmetics communities and provides insights for the management of online communities.

Patient Engagement as Contributors in Online Health Communities: The Mediation of Peer Involvement and Moderation of Community Status

This study focuses on patient engagement in online health communities (OHCs) and investigates the mechanism related to the impact of social support provided by patients on their personal engagement. Based on social support theory, we put forward a research model and conduct empirical analysis using datasets of 4797 patients with 160,484 posts and 1,647,569 replies from an online health community in China. The mediation of peer involvement and moderation of community status are also examined. The results indicate that the subdimensions of social support positively influence patient engagement with informational support exerting the greatest impact. Peer patient involvement imposes significant partial and positive mediating effects on the relationships, especially on informational support. Community status negatively moderates the impacts of social interactions and informational support on patient engagement in that the influence of social interactions and informational support are more profound for patients with low community status. The findings can bring an understanding of patient engagement in OCHs, and provide theoretical and practical implications to facilitate the development of an online healthcare service.

An intelligent medical guidance and recommendation model driven by patient-physician communication data

Based on the online patient-physician communication data, this study used natural language processing and machine learning algorithm to construct a medical intelligent guidance and recommendation model. First, based on 16,935 patient main complaint data of nine diseases, this study used the word2vec, long-term and short-term memory neural networks, and other machine learning algorithms to construct intelligent department guidance and recommendation model. Besides, taking ophthalmology as an example, it also used the word2vec, TF-IDF, and cosine similarity algorithm to construct an intelligent physician recommendation model. Furthermore, to recommend physicians with better service quality, this study introduced the information amount of physicians' feedback to the recommendation evaluation indicator as the text and voice service quality. The results show that the department guidance model constructed by long-term and short-term memory neural networks has the best effect. The precision is 82.84%, and the F1-score is 82.61% in the test set. The prediction effect of the LSTM model is better than TextCNN, random forest, K-nearest neighbor, and support vector machine algorithms. In the intelligent physician recommendation model, under certain parameter settings, the recommendation effect of the hybrid recommendation model based on similar patients and similar physicians has certain advantages over the model of similar patients and similar physicians.

Social support on Reddit for antiretroviral therapy

Purpose

Social media platforms such as Reddit can be used as a place for people with shared health problems to share knowledge and support. Previous studies have focused on the overall picture of how much social support people who live with HIV/AIDS (PLWHA) receive from online interactions. Yet, only few studies have examined the impact of social support from social media platforms on antiretroviral therapy (ART), which is a necessary lifelong therapy for PLWHA. This study used social support theory to examine related Reddit posts.

Design/methodology/approach

This study used content analysis to analyze ART-related Reddit posts. Each Reddit post was manually coded by two coders for social support type. A computational text analysis tool, Linguistic Inquiry and Word Count, was used to generate linguistic features. ANOVA analyses were conducted to compare differences in user engagement and well-being across the types of social support.

Findings

Results suggest that most of the posts were informational support posts, followed by emotional support posts and instrumental support posts. Results indicate that there are no significant differences within user engagement variables, but there are significant differences within several well-being variables including analytic score, clout score, health words usage and negative emotional words usage among social support types.

Originality/value

This study contributes to further understanding of social support theory in an online context used predominantly by a younger generation. Practical advice for public health researchers and practitioners is discussed.

How the use of an online healthcare community affects the doctor-patient relationship: An empirical study in China

Possible improvements to the doctor-patient relationship are an important subject confronting national healthcare policy and health institutions. In recent years, online healthcare communities have changed the ways in which doctors and patients communicate, especially during the COVID-19 pandemic. However, previous research on how usage of online healthcare communities has affected the doctor-patient relationship is rather limited. This paper proposes a research model to investigate the relationship between online healthcare community usage and the doctor-patient relationship. An analysis of 313 patients' data using structural equation modeling showed the following. First, the use of an online healthcare community has a positive impact on doctor-patient communication, helps improve the performance of healthcare procedures, and reduces healthcare costs. Second, doctor-patient communication and healthcare costs have a positive impact on patients' emotional dependence and patients' perception of healthcare quality, while healthcare procedures do not have this impact. Finally, patients' emotional dependence and perception of healthcare quality have a positive effect on doctor-patient relationship through the mediator of patients' satisfaction.

Building Caregivers' Social Support on Social Network Sites Through Online Support Groups

Online support groups (OSGs) provide caregivers of children with mental disorders, information, and advice, as well as the opportunity to exchange social support. This research explores the effects of social support on caregivers when they participate in OSGs. The research survey was conducted on OSGs for parents of children with mental disorders, including developmental delay, autism spectrum disorder, and attention-deficit/hyperactivity disorder. This study collected 204 questionnaires from caregivers for analysis. The results found that informational support and tangible support positively affect members' self-efficacy (SEF), while offering esteem support, emotional support, and companionship support, influencing positive affect (PA). Both SEF and PA improve with members' knowledge-sharing intentions and subjective well-being. In addition, PA impacts the release of stress and recovery from self-stigma. This study provides insights into members' behavior toward support groups. The findings also provide preliminary guidelines for health professionals in adopting strategies to support caregivers.

Exploring the effects of health information seeking on e-satisfaction in online health communities: an empirical investigation

BACKGROUND

Online health communities (OHCs) are becoming effective platforms for people to seek health information. Existing studies divide health information into general and specific information in OHCs. However, few studies discuss the effects of different types of information seeking in OHCs on users' electronic satisfaction (e-satisfaction).

OBJECTIVE

This study explores the effects of general and specific information seeking on users' e-satisfaction with OHCs through the mediating roles of perceived benefits and costs drawing on the social information processing theory and the social exchange theory.

METHODS

This study conducted an online survey to collected data from individuals who used OHCs to seek information. The structural equation model was used to analyze the collect data and the research model. Specifically, this study examined the common method bias and conducted a robustness check.

RESULTS

Results show that general and specific information seeking affect e-satisfaction through the mediating roles of perceived benefits and costs. An interesting result is that general information seeking has a stronger effect on e-satisfaction than specific information seeking.

CONCLUSIONS

This study suggests that e-satisfaction should be further enhanced by information seeking as online healthcare practices evolve and change. Managers of OHCs should focus on increasing users' perceived benefits, thereby increasing their e-satisfaction. Besides, this study discusses implications, limitations, and future research directions.

Encouraging physicians' continuous knowledge-sharing in online health communities: A motivational perspective

Online health communities (OHCs) as an essential means of patient education can significantly improve patients' health literacy and treatment outcomes. However, sustaining these social benefits brought by OHCs establishes the prerequisite that physicians can continuously share their knowledge on OHCs. Although previous studies have explored physicians' knowledge-sharing in OHCs, scholarly knowledge related to the means of motivating physicians to continue sharing their knowledge remains limited. Therefore, this study developed a research model based on motivation theory to explore the influence of practical benefits, psychological rewards, and perceived connectedness with OHCs on physicians' continuous knowledge-sharing behaviors and the contingent role of physicians' online seniority status. The research model and relevant hypotheses were examined using objective data from one of the leading OHCs in China. The empirical results reveal that both practical benefits and psychological rewards positively affect physicians' continuous knowledge-sharing behaviors. However, an unexpected finding is that perceived connectedness is negatively associated with physicians' continuous knowledge-sharing behaviors. In addition, physicians' online seniority status strengthens the relationship between practical benefits and continuous knowledge-sharing behaviors but weaken the role of psychological rewards and perceived connectedness on continuous knowledge-sharing behaviors. This study contributes to the understanding of the motivational mechanisms underlying physicians' continuous knowledge-sharing behaviors in OHCs and provides significant practical implications for practitioners of OHCs.

Exploring the Relationship between Perceived Community Support and Psychological Well-Being of Tourist Destinations Residents

To explore the relationship between community support in tourist destinations and residents' psychological well-being in the post-COVID-19 pandemic period, this study adopts the questionnaire survey method and draws the following conclusions by constructing a structural equation model: (1) perceived community support is very helpful for the psychological well-being of residents, (2) psychological resilience significantly mediates the relationship between perceived community support and residents' psychological well-being, (3) the resident-tourist interaction mediates the relationship between perceived community support and residents' psychological well-being, and (4) the resident-tourist interaction and psychological resilience play an ordered chain-mediating role between perceived community support and residents' psychological well-being. These findings not only fill the gap in tourism research regarding destination-based community support studies but also provide a theoretical basis for maintaining residents' psychological well-being in a given destination in the context of the COVID-19 pandemic. To a certain extent, improving residents' well-being is helpful for promoting the healthy and sustainable development of tourism activities and realizing a "win-win" situation in which tourist destinations develop economically while promoting their residents' living standards.

Can Patients Co-Create Value in an Online Healthcare Platform? An Examination of Value Co-Creation

With the development of online healthcare services, patients could receive support and create value with other users on online healthcare platforms. However, little research has been conducted on the internal mechanisms of patient value co-creation from the perspective of online healthcare platforms. To analyze patient value co-creation in online healthcare platforms, this study explores the underlying mechanisms of patient value co-creation among patients. The results show that value co-creation includes patient citizenship behavior and participation behavior. Information quality, peer communication, and system quality influence functional experiences and emotional experiences. In addition, functional experiences and emotional experiences could influence patient value co-creation. This study clarifies the mechanism of value co-creation among patients and provides insight into value co-creation in online healthcare platforms.

The impact of online health community engagement on lifestyle changes: A serially mediated model

Background

Due to reduced physical labor and increased food availability, making healthy lifestyle changes is becoming increasingly challenging. Prior studies have suggested that strong ties (such as friends or family members) help promote positive lifestyle behavior changes while weak ties like online friends hardly make a difference in activating healthy lifestyle changes. More recent studies have found evidence of positive lifestyle changes brought about by health APPs. Yet, the process through which online health community (OHC) engagement is related to healthy lifestyle changes has not been fully explored.

Methods

Drawing on social network theory and the self-efficacy literature, we argued that the information and emotional support which users obtained from OHCs is positively associated with health self-efficacy, which in turn is positively associated with lifestyle changes. Then we constructed a serially mediated model between OHC engagement and healthy lifestyle changes and collected 320 valid questionnaires through an online survey. We tested the model by applying structural equation modeling via Mplus 8.3, which uses bootstrapping (5,000 samples) to test the significance of the mediated paths.

Results

This study demonstrated that the informational and emotional support that users receive from OHC engagement positively affects healthy lifestyle changes via the mediating role of health self-efficacy. We also found that healthy lifestyle changes are an outcome of enhanced health self-efficacy through the effect of informational and emotional support from OHC engagement.

Conclusions

Our findings help explain how OHC users make healthy lifestyle changes by utilizing the informational and emotional support to develop health self-efficacy. The results also highlight the value of informational and emotional support as important resources which users acquire from OHC engagement. Thus, we suggest that OHC users utilize the informational and emotional support to enhance health self-efficacy and facilitate healthy lifestyle changes. Future research could explore the dynamic process through which OHC engagement influences lifestyle changes by designing longitudinal research and addressing the limitations of the present study.

Exploring Users' Health Behavior Changes in Online Health Communities: Heuristic-Systematic Perspective Study

(1) Background: With the continuous advancement of internet technology, use of the internet along with medical service provides a new solution to solve the shortage of medical resources and the uneven distribution of available resources. Online health communities (OHCs) that emerged at this historical moment have flourished with various advantages, such as being free from location and time constraints. Understanding users' behavior changes via engagement in OHCs is necessary to support the development of internet medicine and promote public health. (2) Methods: The hypotheses of our research model were developed based on the protective action decision model (PADM) and heuristic-systematic model (HSM). A questionnaire was developed with seven constructs through previous studies and verified using a presurvey. Our survey respondents are online health community users. We used structural equation modelling to test the research hypotheses. (3) Results: The results of the analysis of 290 valid samples showed that the research model fit the data collected well. The perceived benefits (PB) positively affect information needs (IN) (beta = 0.280, p < 0.001, R² = 0.252), thereby promoting users' engagement in OHCs (EOHCs) (beta = 0.353, p < 0.001, R² = 0.387); EOHCs has a significant positive impact on health behavior change (HBC) (beta = 0.314, p < 0.001), and it also significantly positively affects users' health behavior change through systematic processing indirectly (beta = 0.252, p < 0.001, R² = 0.387). (4) Conclusions: Our study offers support for the usefulness of the PADM and HSM in explaining users' health behavior changes. For practitioners, this study introduces influence processes as policy tools that managers can employ for health-promoting with mHealth.

Evaluating the individual, situational, and technological drivers for creative ideas generation in virtual communities: A systematic literature review

The setting in which people generate ideas and work collaboratively to solve problems is gradually shifting from traditional face-to-face communities to virtual communities. Virtual communities are, therefore, becoming a new source of creative ideas. Nevertheless, online creativity is not without challenges. The main obstacle seems to be a lack of active engagement from participants within these virtual communities, resulting in a low quality and quantity of creative content when compared to traditional methods of creation. Research suggests that successfully generating creative ideas online involves sustained, active engagement among collaborators. A number of studies have investigated various factors related to the generation of creative ideas within virtual communities. However, a comprehensive understanding of contributing factors remains elusive. This study examines past research on the factors that drive creative ideas generation in online creative communities through a systematic literature review. The study seeks to analyze research findings over the past decade and provide an overview of the main driving factors, research areas, research trends, and implications for future research. Web of Science and Scopus were used to identify relevant articles, while Google Scholar was used to minimize the risk of missing any valuable data related to the aim of this study. The results provide an overview of the studies examining creative ideas generation within virtual communities. By approaching the subject matter from three primary perspectives (individual, situational, and technological), this paper identifies influencing factors associated with the successful generation of creative ideas online. The results of the paper also provide an overview of the research methods and guiding theories adopted by current researchers. The paper concludes with research trends and recommendations for future research.

Effects of Group Emotion and Moral Belief on Pro-Environmental Behavior: The Mediating Role of Psychological Clustering

An important topic in ecological environmental protection concerns the determination of a method to guide individual pro-environmental behavior from the dual perspectives of immediate intervention and long-term shaping. This research analyzed the influence of group emotions and moral beliefs on the pro-environmental behavior of residents and introduces the concept of the "psychological cluster" to explore the mediating effect of the "psychological cluster" on group emotions, moral beliefs, the pro-environmental behavior of residents, and its various dimensions. The results of a questionnaire survey, factor analysis, regression analysis, and other methods showed that group emotions and moral beliefs can significantly the predict pro-environmental behaviors of residents, and moral beliefs have a significant impact on basic pro-environmental behaviors. Each dimension of the psychological cluster has a significant effect on pro-environmental behavior. Among them, the psychological cluster has the most significant effect on the citizen-type pro-environmental behavior. That is to say, when individuals are passionate about environmental causes, and feel angry and guilty about damaging the environment, they will be encouraged to actively participate in environmental protection activities in public places and give advice on environmental protection. Group emotion and moral belief can drive the occurrence of a psychological cluster, which leads to the generation of group behavior. In other words, psychological clustering acts as a "middleman" between group emotion, moral belief, and pro-environmental behavior of residents. However, its influence is not completely mediated via the psychological cluster. In summary, the psychological cluster plays a partial mediating role in the relationship between group emotion, moral belief, and the pro-environmental behavior of residents. Finally, corresponding policy suggestions are put forward based on this research.

How the COVID-19 Pandemic Changed Adolescents’ Use of Technologies, Sense of Community, and Loneliness: A Retrospective Perception Analysis

The COVID-19 pandemic has brought important changes to how we engage in relationships of any kind. To combat the spread of the virus, schools resorted to remote-learning, and teenagers had to rely on various technologies to meet many of the needs that they used to satisfy offline (e.g., social, informational, and recreational/leisure purposes). This article was written to investigate the changes that the students at an Italian high school went through in terms of use of technologies, loneliness, and sense of community, through a survey focusing on their retrospective perceptions. The study was carried out on 917 students. In general, we have found that the COVID-19 pandemic has greatly increased the perception of loneliness in teenagers (especially in female respondents), as well as their use of technologies for social, informational, and leisure purposes. However, maybe thanks to the opportunities provided by ICTs and remote learning, the sense of community in Italian teenagers was only marginally impacted.

The Impact of Data Vulnerability in Online Health Communities: An Institutional Assurance Perspective

In the last few years, online health communities (OHCs) have experienced rapid development due to advances in technology and the COVID-19 pandemic. However, the sensitive nature of medical information has also raised concerns from users about their privacy and reduced their intention to use OHCs. Considering the critical role of data privacy, this study explored the effect of data vulnerability on OHC users. Using online survey data collected from 438 OHC users in China, we found that data vulnerability significantly reduced psychological comfort, while the latter enhanced continuance intention. We also found that psychological comfort negatively mediated the impact of data vulnerability on continuance intention. Institutional assurance approaches, namely privacy policy, privacy protection technology, industry self-regulation, and government legislation, were also found to mitigate the negative impact of data vulnerability on psychological comfort. This study not only contributes to the data privacy, psychological comfort, and institutional assurance literature but also offers suggestions for OHC stakeholders.

Determining Factors Affecting the Users' Participation of Online Health Communities: An Integrated Framework of Social Capital and Social Support

As the national awareness of health keeps deepening, online health communities (OHCs) have achieved rapid development. Users' participation is critically important to the sustainable development of OHCs. Nevertheless, users usually lack the motive for participation. Based on the social capital theory, this research examines factors influencing users' participation in OHCs. The purpose of this research is to find out decisive factors that influence users' participation in OHCs, enrich the understanding of users' participation in OHCs, and help OHCs address the issue of sustainable development. The research model was empirically tested using 1277 responses from an online survey conducted in China. Data was analyzed using the structural equation modeling (SEM). We found informational support and emotional support to have significant direct effects over the structural capital, relational capital and cognitive capital of OHCs. Meanwhile, it is observed that relational capital and cognitive capital degree have a significant influence on knowledge acquisition and knowledge contribution of OHCs. For researchers this study provides a basis for further refinement of individual models of users' participation. For practitioners, understanding the social capital is crucial to users' knowledge acquisition and knowledge contribution that achieve high participation in OHCs.

The Impact of Health Information Privacy Concerns on Engagement and Payment Behaviors in Online Health Communities

Online health communities (OHCs) have enjoyed increasing popularity in recent years, especially in the context of the COVID-19 pandemic. However, several concerns have been raised regarding the privacy of users’ personal information in OHCs. Considering that OHCs are a type of data-sharing or data-driven platform, it is crucial to determine whether users’ health information privacy concerns influence their behaviors in OHCs. Thus, by conducting a survey, this study explores the impact of users’ health information privacy concerns on their engagement and payment behavior (Paid) in OHCs. The empirical results show that users’ concerns about health information privacy reduce their Paid in OHCs by negatively influencing their OHC engagement. Further analysis reveals that if users have higher benefit appraisals (i.e., perceived informational and emotional support from OHCs) and lower threat appraisals (i.e., perceived severity and vulnerability of information disclosure from OHCs), the negative effect of health information privacy concerns on users’ OHC engagement will decrease.

Exploring member’s knowledge sharing intention in online health communities: The effects of social support and overload

This study explores the determinants of members’ participation intention in online health communities (OHC) from both the facilitators and barriers points of view. From the facilitators perspective, each member’s subjective well-being plays a crucial role in sharing intention. On the other hand, from the barriers point of view, social network site exhaustion would negatively affect. The survey was conducted on two online support groups, including parents of children with autism spectrum disorder and caregivers of dementia disease. This study collected 330 questionnaires from social network sites to examine the research model. The results showed that social support positively affects members’ self-efficacy; in turn, self-efficacy has a positive effect on subjective well-being. Overload has an impact on psychological distress. Moreover, members’ subjective well-being determined their knowledge sharing intention.

Lurking or active? The influence of user participation behavior in online mental health communities on the choice and evaluation of doctors

BACKGROUND

Web-based psychological counseling sites have become an important source of health information and expert assistance. Although many studies have suggested the feasibility and effectiveness of online consultation, there is an insufficient understanding of the influence of the distinction of users' participation behaviors online on health behavior decision-making.

OBJECTIVE

This study aimed to investigate whether and how the differences in the online participation behaviors of users affect their doctor selection and evaluation characteristics.

METHODS

First, we collected information from 7,781 paid consultation clients from a professional mental health service platform in China. Effective indicators and variables were formed through data cleaning and classification. Next, we used a mixed methods research approach that included qualitative text analysis (topic and sentiment) and quantitative statistical analysis (ANOVA).

RESULTS

The ANOVA results show that differences in online participation behaviors (diving, searching and socializing) have a significant impact on doctor selection based on consultation price (F_7,780=6.05; P = 0.00), online service volume (F_7,780=4.76; P = 0.00), online reputation (F_7,780=4.30; P = 0.01) and online answers (F_7,780=5.76; P = 0.00). When evaluating doctors, the frequency of reviews (F_7,780=69.62; P = 0.00) and the average length of the text (F_7,780=15.33; P = 0.00) were significantly different among users. Two of the three topics, namely, service attitude (F_7,780=28.63; P = 0.00) and self-expression (F_7,780=40.83; P = 0.00), had significant effects. In addition, our results show that differences in participating behaviors have a significant impact on both the positive (F_7,780=7.30; P = 0.00) and negative (F_7,780=9.44; P = 0.00) emotions involved in evaluating doctors.

CONCLUSIONS

Our findings provide preliminary insights for establishing the relationship between users' online information behavior and health decision-making. Further research should be conducted to verify the validity of the results and help apply them to the design of personalized customized services for the users in an online health community.

The Adoption of QR Code Mobile Payment Technology During COVID-19: A Social Learning Perspective

The increasing number of quick response (QR) code mobile payment users heralds the coming of a cashless society. However, the extent to which the coronavirus disease 2019 (COVID-19) pandemic accelerated the adoption of QR code mobile payment has not been sufficiently researched. Based on social learning theory, this study models how external interaction with the environment has affected the internal appraisal and behavioral intention to adopt QR code mobile payment during COVID-19. Empirical results from 248 respondents revealed that perceived severity and social influence positively affected the perception of utilitarian and health benefits of respondents, which in turn influenced the behavioral intention to use the QR code mobile payment. The theoretical contribution and managerial implications of this study are also discussed.

Deconstructing Online Hospitality Review Systems

Online hospitality reviews have an important impact on consumers’ travel and hospitality booking decisions in the Internet age. A well-designed online hospitality review system is crucial to reduce the uncertainty of consumers’ decision making, to grasp the actual needs of consumers, and to improve the quality experience of platforms. In this context, this research conducts an empirical study on the design features of online hospitality review systems based on the Kano model. First, the paper analyzes the design features of online hospitality review systems. Then, the paper proposes an improved method to classify design features on the basis of the Kano questionnaire design and survey data. Finally, the paper quantitatively measures their importance in online hospitality review systems. Results can provide scientific basis for online travel platforms or hospitality operators to optimize the design of online hospitality review systems and to obtain reference value to increase the satisfaction of consumers’ decision making.

Unconscious or conscious? The impacts of habit and social support receipt on older adults' continued participation in online health communities

Purpose

Online health communities (OHCs) can be complementary to healthcare systems to improve the health behaviors of older adults with chronic diseases. This study aims to examine the impacts of habit and social support receipt on older adults' continued participation in OHCs. Particularly, the authors discussed the influences of social support received in two ways: social support received by initiating threads (direct social support receipt) and social support received by being exposed to the threads initiated by others (indirect social support receipt).

Design/methodology/approach

Based on the dual-process model (i.e. conscious process and unconscious process), the authors developed the research model. Data from one of the biggest online diabetes communities in Europe were collected. Besides, we used the support vector machine algorithm for social support classification and used the Cox proportion hazards model for model validation.

Findings

Older adults' continued participation is influenced by habit and indirect informational support. Habit moderates the relationship between direct informational support receipt and older adults' continued participation. Furthermore, direct and indirect emotional support receipt are both not associated with older adults' continued participation, regardless of their habit strength.

Originality/value

This is the first study investigating older adults' continued participation in OHCs based on the dual-process model. The findings of this study reveal that older adults' continued participation is determined by both the habit and specific conscious evaluation of benefits based on the social support receipt.

Understanding Online Health Community Users’ Payment Intention

Users often lack the motivation to pay for health information and services in online health communities (OHC). This may undermine the sustainable development of OHC. Integrating both perspectives of perceived value and trust, this research identified the factors affecting OHC users’ payment intention. The results indicated that payment intention is influenced by both functional value and trust. Functional value includes price utility and information quality, whereas trust includes trust in doctors and trust in community. We did not find the effect of emotional value and social value on payment intention. The results imply that OHC need to create a trustworthy climate and offer utilitarian value to users in order to facilitate their payment intention.

The Effect of Sense of Community on Users' Continuance of Online Music Communities

Due to the intense competition, retaining users and facilitating their continuance are crucial to the success of online music communities. The purpose of this research is to examine the effect of sense of community on users' continuance intention of online music communities. Structural equation modeling was adopted to conduct data analysis. The results indicated that social support and flow experience have significant effects on sense of community, which further affects continuance intention. The main limitation is that the results need to be generalized to other countries that had developed online music communities. This research disclosed the mechanism underlying users' continuance in online music communities, which represent an emerging application.

Using the SOR Paradigm to Understand User Lurking Behavior in Online Knowledge Communities

Users' lurking behaviour may hinder the sustainable development of online knowledge communities. The purpose of this research is to examine users' lurking based on a stimulus-organism-response (SOR) paradigm. The results indicate that both social and technological factors affect anxiety and social network fatigue, both of which further determine lurking behavior. Social factors include social comparison and privacy concerns, whereas technological factors include information overload and function overload. The results imply that online knowledge communities need to be concerned with both perspectives of social and technological factors in order to mitigate users' anxiety and social network fatigue and prevent their lurking behaviour.

Should doctors use or avoid medical terms? The influence of medical terms on service quality of E-health

With epidemics and pandemics like COVID-19, many offline healthcare services have been suspended and shifted to online, where patients and doctors typically communicate by typing texts. The limited communication poses a threat to the service quality of E-health, and also raises higher demand on the language skills of doctors, in which medical terms are a common concern. Traditional studies of offline healthcare mostly hold a negative attitude towards the use of medical terms by doctors. However, should we still advise doctors to avoid using medical terms in E-health? To answer this question, this paper conducts a study combining technical and empirical analyses based on real data. In this paper, a novel unsupervised text-mining method is proposed to automatically identify medical terms with crowd wisdom from large-scale doctor-patient communication texts. Then, a TREC-type experiment is carried out to validate the proposed method in terms of Precision, Recall, and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$F_1$$\end{document}F1-measure, demonstrating that it can identify accurate and comprehensive medical terms. Based on the identified medical terms, an empirical analysis is conducted to verify the influence of medical terms used by doctors on the service quality of E-health. The analysis results show that for patients with low health literacy, the use of medical terms by doctors would decrease their service quality. However, for patients with high health literacy, the use of medical terms by doctors can significantly increase their service quality, revealing that doctors could improve their service quality in E-health by adjusting their medical term usage according to the health literacy of patients.

Life Satisfaction and Online-Gambling Communities: A Cross-National Study of Gambling Activities Among Young Finnish, American, South Korean and Spanish People

Gambling is a potential hazard to life satisfaction, yet peer relationships online might buffer this risk. This study analyzed the ways problem gambling is associated with life satisfaction as well as the extent to which the use of online-gambling community participation and, alternatively, offline belonging affect this association. A web-based survey was conducted among people aged 15–25 in Finland (n = 1,200), the United States (n = 1,212), South Korea (n = 1,192), and Spain (n = 1,212). The main variables included life satisfaction, problem gambling measured by the South Oaks Gambling Screen, online-gambling community participation, and offline belonging. Controls included compulsive internet use, hazardous drinking, psychological distress, income, age, and gender. Linear regression models were employed with country interactions. Results showed problem gambling had a negative relationship with life satisfaction, but the association was explained by control variables. Online-gambling community participation had a positive relationship with life satisfaction, especially among pathological gamblers who had poor offline relationships. Country comparisons revealed that the direct effect of excessive gambling and the compensating effect of online-gambling communities were most prominent in Finland.

Exploring the Social Networks' Use in the Health-Care Industry: A Multi-Level Analysis

The application of social networks in the health domain has become increasingly prevalent. They are web-based technologies which bring together a group of people and health-care providers having in common health-related interests, who share text, image, video and audio contents and interact with each other. This explains the increasing amount of attention paid to this topic by researchers who have investigated a variety of issues dealing with the specific applications in the health-care industry. The aim of this study is to systematize this fragmented body of literature, and provide a comprehensive and multi-level overview of the studies that has been carried out to date on social network uses in healthcare, taking into account the great level of diversity that characterizes this industry. To this end, we conduct a scoping review enabling to identify the major research streams, whose aggregate knowledge are discussed according to three levels of analysis that reflect the viewpoints of the major actors using social networks for health-care purposes, i.e., governments, health-care providers (including health-care organizations and professionals) and social networks’ users (including ill patients and general public). We conclude by proposing directions for future research.

Characterizing the dissemination of misinformation on social media in health emergencies: An empirical study based on COVID-19

The dissemination of misinformation in health emergencies poses serious threats to public health and increases health anxiety. To understand the underlying mechanism of the dissemination of misinformation regarding health emergencies, this study creatively draws on social support theory and text mining. It also explores the roles of different types of misinformation, including health advice and caution misinformation and health help-seeking misinformation, and emotional support in affecting individuals' misinformation dissemination behavior on social media and whether such relationships are contingent on misinformation ambiguity and richness. The theoretical model is tested using 12,101 textual data about COVID-19 collected from Sina Weibo, a leading social media platform in China. The empirical results show that health caution and advice, help seeking misinformation, and emotional support significantly increase the dissemination of misinformation. Furthermore, when the level of ambiguity and richness regarding misinformation is high, the effect of health caution and advice misinformation is strengthened, whereas the effect of health help-seeking misinformation and emotional support is weakened, indicating both dark and bright misinformation ambiguity and richness. This study contributes to the literature on misinformation dissemination behavior on social media during health emergencies and social support theory and provides implications for practice.

Understanding relationship commitment and continuous knowledge sharing in online health communities: a social exchange perspective

Purpose

Online health communities (OHCs) have become increasingly popular sources of health information in recent years. However, little is known about the factors that affect the relationship commitment and continuous knowledge sharing intention among OHC members. Thus, this study aims to integrate social exchange and commitment-trust theories to establish a theoretical model to fill the gap.

Design/methodology/approach

A research model that integrates social exchange theory and commitment-trust theory is developed. Quantitative data from 519 valid questionnaires are collected via an offline survey. Statistical product and service solutions 20.0 and analysis of a moment structures 20.0 software are used to test the hypotheses.

Findings

Relationship commitment directly influences continuous knowledge sharing intention, partially mediates the relationship between social support and continuous knowledge sharing intention, and fully mediates the relationship between perceived health risks and continuous knowledge sharing intention. Informational and emotional supports are identified as benefit factors that positively affect relationship commitment and perceived health risks are regarded as cost factors that negatively influence relationship commitment. Informational and emotional supports of OHC members produce different effects on relationship commitment when members obtain social support from different sources. Moreover, trust moderates the influences of informational support and perceived health risks on relationship commitment.

Originality/value

The findings provide additional insights that can augment the knowledge management literature by indicating how people are driven to share knowledge continuously in the context of OHCs. This study empirically clarifies the relationships of benefits (i.e. social support) and costs (i.e. perceived health risks) to continuous knowledge sharing intention by demonstrating the significant mediating effect of relationship commitment. In addition, the findings of this study highlight the importance of the social support source in OHCs and provide additional insights into commitment–trust theory by integrating the moderating effect of trust on the relationships between relationship commitment and its antecedents.

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Employing a national representative survey (the China Labor-force Dynamics Survey 2016, CLDS2016) data (N = 14246), this paper examines the heterogeneous influences of social support on individual physical and mental health in China. Social support is characterized by four dimensions: emotional support, tangible or instrumental support, interaction or exchange support, and community support. Physical health is measured by self-rated health and body mass index (BMI), while mental health is measured by depression, hopelessness, failure, fear, loneliness, and meaninglessness. The results indicate that different dimensions of social support have heterogeneous effects on individual physical and mental health. Specifically, the correlation between emotional support and individual physical health is not significant, but emotional support is significantly related to some mental health variables. Tangible or instrumental support is significantly related to individual self-rated physical health but not to BMI or mental health. Interaction or exchange support is significantly correlated with individual self-rated health and some mental health variables. In general, there are significant correlations between community support, and individual physical and mental health. The results also suggest that the influences of social support on physical and mental health of individuals at different ages (<60 years and ≥60 years) are heterogeneous. The results of this study provide direction for the dimension selection of social support to promote individual health.