COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown

Internal and external factors influencing Gen Z wellbeing

BACKGROUND

Gen Z, the cohort of individuals born approximately between the mid-to-late 1990s and the early 2010s, has been noted to experience challenges regarding their wellbeing. Yet, addressing wellbeing issues among individuals in their productive years is crucial due to the significant impacts on innovation, productivity, and performance. Wellbeing is influenced by internal and external factors. One important external factor is technology. Concerns such as excessive screen time and the constant need for updated information, often referred to as the Fear of Missing Out (FoMO), have been associated with a decline in wellbeing. Nevertheless, comprehensive research examining the effects of screen time and FoMO on wellbeing remains limited. This study aims to explore both internal (such as FOMO, extraversion, and resilience) and external factors (such as social support and screen time) that contribute to the wellbeing of Gen Z individuals.

METHODS

The research adopted a quantitative approach involving 408 participants, with Smart-PLS utilized for both the measurement model analysis and the structural model analysis.

RESULT

Findings from the study reveal how social support, as external factor, is positively influencing wellbeing and resilience. The study also shows that resilience plays a role in influencing wellbeing. Therefore, the total impact of social support to wellbeing is strong, directly and indirectly. This study also shows the positive impact of personal traits, specifically extraversion to wellbeing. However, this study fails to show the dark side of technology impacted wellbeing.

CONCLUSION

The study expands knowledge on the direct positive relationship between social support, resilience, and well-being, revealing that social support significantly affects well-being both directly and indirectly through resilience. Additionally, it confirms that well-being is influenced by internal factors, such as resilience and extraversion, and highlights the impact of technology, especially Fear of Missing Out (FoMO) and screen time, on well-being. Practically, it encourages parents and educators to support Gen Z by fostering open communication, guiding resilience development, and monitoring technology usage to combat potential negative effects like FoMO.

Examining the role of psychological flexibility and unconditional self-acceptance as mediators in the relationship between new media literacy and psychological wellbeing among Gen Z

BACKGROUND

This study explores the relationship between new media literacy (NML), psychological flexibility (PF), and unconditional self-acceptance (USA) in shaping the psychological wellbeing (PWB) of Generation Z.

MATERIALS AND METHODS

With a focus on university students aged 18 to 25, this research employed a purposive sampling method to gather data from 233 participants through online surveys. The online survey consists of four sections: New media literacy scale, Acceptance and action questionnaire (AAQ-II), The Psychological Wellbeing Scale (PWBS), and Unconditional Self-Acceptance Questionnaire (USAQ).

RESULTS

Statistical analysis using the Bootstrap method revealed that NML significantly impacts PWB both directly and indirectly through serial mediation by PF and USA. The results revealed a significant indirect effect of NML on PWB through PF and USA (b = -0.013, t = 1.800). Furthermore, the direct effect of NML on PWB in the presence of the mediators was also found to be significant (b = 0.156, P = 0.002).

CONCLUSION

There is partial serial mediation of PF and USA on the relationship between NML and PWB. This study revealed the crucial role of MML in enhancing PWB through the serial mediation of PF and USA among Generation Z. These findings suggest the potential of targeted digital literacy programs as effective tools for improving mental health in this digitally immersed generation.

The bright side of social media information overload for anti-COVID-19 behaviors: a stimulus-organism-response framework

Social media has an important impact on social management by communicating information that influences individual behavior; however, too much social media information can cause user information overload. The coronavirus disease 2019 (COVID-19) pandemic context provides an opportunity to analyze the impact of social media information overload on individuals' prosocial behaviors in emergency events. In this study, the impact of social media information overload on people's anti-COVID-19 behaviors, that is, behaviors that limit the transmission of COVID-19, was investigated by linking norm activation theory and information overload theory. Data were collected from 242 Chinese participants, and structural equation modeling was used for data analysis. The results showed that social media information overload positively influenced the awareness of consequences and the ascription of responsibility in anti-COVID-19 behaviors and that ascription of responsibility and awareness of consequences could activate people's personal norms and eventually motivate people to engage in prosocial behaviors for epidemic prevention. These findings could extend the information overload concept to a public health emergency context and yield useful insights for world pandemic control.

The internet usage increases fear of infection with Covid-19

During the Covid-19 pandemic, because of convenience and efficiency, the internet has emerged as an important channel for both acquiring information and engaging in social interaction.The internet plays a crucial role in keeping individuals informed and connected during the Covid-19 pandemic. However, the effects of the massive and untruthful information on the internet, as well as the excessive use of the internet during the Covid-19 pandemic, especially on the individuals fear and panic of infection with Covid-19, have not been adequately addressed. We utilize the data of Chinese General Social Survey (CGSS) in the year of 2021, as one of a national, comprehensive and continuous survey projects which is conducted a cross-sectional survey among provinces in mainland China each year, to test the relationship between the internet usage and the individuals fear of infection with Covid-19. By utilizing Ordered-Probit model, we find that the higher frequency of the internet usage significantly increases the individuals fear of infection with Covid-19. On average, when individuals use the internet from never use to very often, the probability of feeling not too fearful to be infected with Covid-19 decreases by 2%. Additionally, the findings reveal that the impact is particularly pronounced among females, middle-income individuals, older individuals and those with lower educational levels. The results also indicate that the effect is greater among the individuals with chronic diseases, those who spend less time studying, and feel they are unlikely to be infected with Covid-19. Furthermore, as the frequency of internet usage increases, we observe a corresponding rise in the likelihood of receiving a vaccine, along with a change in attitudes towards the measures implemented by the government.

The influence of social interactions in mitigating psychological distress during the COVID-19 pandemic: a study in Sri Lanka

Massive changes in many aspects related to social groups of different socioeconomic backgrounds were caused by the COVID-19 pandemic and as a result, the overall state of mental health was severely affected globally. This study examined how the pandemic affected Sri Lankan citizens representing a range of socioeconomic backgrounds in terms of their mental health. The data used in this research was gathered from 3,020 households using a nationwide face-to-face survey, from which a processed dataset of 921 responses was considered for the final analysis. Four distinct factors were identified by factor analysis (FA) that was conducted and subsequently, the population was clustered using unsupervised clustering to determine which population subgroups were affected similarly. Two such subgroups were identified where the respective relationships to the retrieved principal factors and their demographics were thoroughly examined and interpreted. This resulted in the identification of contrasting perspectives between the two groups toward the maintenance and the state of social relationships during the pandemic, which revealed that one group was more "socially connected" in nature resulting in their mental state being comparatively better in coping with the pandemic. The other group was seen to be more "socially reserved" showing an opposite reaction toward social connections while their mental well-being declined showing symptoms such as loneliness, and emptiness in response to the pandemic. The study examined the role of social media, and it was observed that social media was perceived as a substitute for the lack of social connections or primarily used as a coping mechanism in response to the challenges of the pandemic and results show that maintaining social connections physically or via online rather than the use of social media has helped one group over the other in decreasing their symptoms such as emptiness, loneliness and fear of death.

The Impact of Leader-Member Relationships on Team Effectiveness Through Speaking Up and Silence: A Cross-Sectional Study in Rural Chinese Hospitals

Introduction

Although the importance of leader-member relationships in teamwork is acknowledged in literature, a deeper understanding of this relationship is lacking, especially in rural areas. The impact of leader-member relationships on team outcomes is especially important in rural Chinese hospitals as improving teamwork forms a national health reform priority in these hospitals. This study investigates how leader-member relationships (ie leader-member perceived similarity and power distance orientation) influence team outcomes (ie perceived quality of care and job satisfaction) via speaking up and silence.

Methods

An online questionnaire was completed by 1017 team members (ie doctors, nurses and other healthcare professionals) of 300 teams in four rural Chinese hospitals in October 2022. The questionnaire measured leader-member perceived similarity, power distance orientation, speaking up, silence, perceived quality of care, job satisfaction and control variables. Multilevel mediation analysis was conducted to test the hypotheses.

Results

Leader-member perceived similarity and power distance orientation are positively related to speaking up (β=0.61, p<0.01; β=0.17, p<0.01 respectively) and to silence (β=0.41, p<0.01; β=0.63, p<0.01 respectively). Speaking up is positively related to the perceived quality of care (β=0.24, p<0.01; β=0.46, p<0.01) and job satisfaction (β=0.30, p<0.01; β=0.54, p<0.01), while the impact of silence is not significant. Finally, speaking up mediates the associations of both leader-member perceived similarity and power distance orientation with perceived quality of care (β=0.15, p<0.01; β=0.08, p<0.01 respectively) and job satisfaction (β=0.30, p<0.01; β=0.54, p<0.01 respectively).

Conclusion

Speaking up, rather than silence, contributes to team functioning by mediating the impact of leader-member relationships to team outcomes. Hospital management may therefore seek to stimulate speaking up by focussing on leader-member relationships: increasing leader-member similarity and promoting members' power distance orientation. However, any unintended effect of increased silence through these leader-member relationships is an important area of future research, which can adopt multidimensional models of speaking up and silence.

The impact of social media use on psychiatric symptoms and well-being of children and adolescents in the Post-COVID-19 era: a four-year longitudinal study

This longitudinal study examined the long-term effects of the COVID-19 pandemic on social media use and its impact on psychiatric symptoms and well-being of 3,697 Israeli children and adolescents aged 8 to 14. Data were collected from October 2019 to June 2023, covering four school years and five measurement points prior to, throughout and post- COVID-19. Social media usage, psychiatric symptoms (depression, anxiety, somatization, and general distress), as well as subjective well-being (positive and negative emotions, and life satisfaction) were assessed. The analysis also probed the extent to which social support and extracurricular activities moderated the associations between social media use and mental health outcomes. The results of the growth mixed-effects models indicated a significant increase in social media use and psychiatric symptoms, and a significant decrease in subjective well-being over time. Greater social media use was related to more psychiatric symptoms and negative emotions, but also to more positive emotions and life satisfaction. Social support buffered the negative effects of excessive social media use on mental health, whereas extracurricular activities increased positive emotions, but also psychiatric symptoms related to social media use. These findings highlight the need for targeted interventions to regulate social media usage, given its lasting consequences on the mental health of children and adolescents in the wake of the COVID-19 pandemic.

More knowledge, more choices? How peer recognition of physicians' knowledge sharing affect patients' consultation in online health communities

Background

The advent of telemedicine has revolutionized healthcare consultations, primarily due to the digital era and global health concerns. Online healthcare communities (OHCs) have emerged as platforms for physicians to share health-related articles, promoting digital public health awareness and knowledge dissemination. The continuous dissemination of health knowledge by physicians online is considered a crucial driving force in attracting patients to seek online consultations.

Methods

Based on the elaboration likelihood model and the information overload theory, this study explores how persuasive messages from other patients' peer recognition, including knowledge popularity and attractiveness, affect patients' consultation decisions. Additionally, the study examines the three-way interaction between knowledge popularity, attractiveness, and quantity in shaping patient consultations. Using data collected from 2,676 physicians on haodf.com, this study established an ordinary least squares (OLS) regression model with time and city fixed effects to test the hypothesis.

Results

The results show that: (1) peer recognition (knowledge popularity and attractiveness) from other patients positively impacts patients' consultation; (2) knowledge attractiveness positively moderate the relationship between knowledge popularity and patients' consultation; (3) there is a three-way effect of knowledge popularity, knowledge attractiveness, and knowledge quantity on patients' consultation.

Conclusion

Our findings offer valuable guidance for platform design and healthcare practitioners, boosting patient-physician engagement in online healthcare communities.

The twisted path to sacredness: a grounded theory study of irrational religious orientation and its psycho-sociological implications

This research delves into the nuances, origins, and societal effects of irrational religious orientations within China's Generation Z, employing grounded theory methodology for a comprehensive analysis. The focus is on those born between 1995 and 2010, a demographic raised amidst rapid information technology growth and significantly influenced by digitalization and globalization. The study identifies three primary dimensions of irrational religious orientations in Generation Z: religious spiritual dependence, religious instrumental tendency, and religious uniqueness identity. These are shaped by factors such as the overwhelming influx of information via digital media, societal pressures and psychological dilemmas, conflicts in values and identity crises, as well as feelings of social isolation and the need for group belonging. To address these trends, the study suggests several interventions: enhancing multicultural and values education, implementing stricter online information regulation and literacy programs, boosting mental health awareness and support, and fostering engagement in social and cultural activities. These recommendations are essential for comprehensively understanding and effectively responding to the irrational religious orientations of Generation Z, ultimately contributing to their overall well-being and healthy development.

Validity and reliability of the Korean version of the Digital Burnout Scale

Objectives

To investigate the factor structure and verify the validity and reliability of the Korean version of the Digital Burnout Scale (DBS) among Generation Z university students.

Methodology

The World Health Organization guidelines were employed in the forward and back translation, synthesis, cross-cultural adaptation, and pre-survey phases to result in the Korean version of the DBS. The Korean version was then used to collect data from 330 university students online. Construct, convergent, discriminant, and concurrent validity, and internal consistency were assessed.

Findings

The Korean version of the DBS had three subscales (digital aging, digital deprivation, and emotional exhaustion) and included 24 items. The results of the confirmatory factor analysis indicated adequate model fit indices. Convergent, discriminant, and concurrent validity were satisfactory. The Cronbach's ⍺ for the overall scale was 0.95.

Conclusion

The Korean version of the DBS has good reliability and validity and can be used as a tool to assess the level of risk of digital burnout and provide appropriate support and intervention.

Implications

The Korean version of the DBS will serve as a framework for developing healthy digital education by grasping individual characteristics. Longitudinal research is recommended to identify factors that cause digital usage and burnout for various age groups.

How information and communication overload affect consumers' platform switching behavior in social commerce

In social commerce, users are increasingly resorting to social media platforms to search for information, purchase goods, and share shopping experiences. However, social media use may also affect users' emotions negatively, causing them to switch platforms. Therefore, this study aims to investigate how negative factors (i.e., information and communication overload) affect consumers' platform-switching behavior in social commerce. Drawing on the stimulus-organism-response (SOR) model, this study established a research framework and conducted an online survey in China. A purposive sampling technique was used to collect the data, generating 477 valid responses. Data analysis, based on structural equation modeling, indicates that information and communication overload, and online fatigue positively affect platform-switching intention. The effect of the intention to switch on behavior is moderated by switching costs. Mediation analysis shows that information and communication overload can indirectly influence switching behavior through online fatigue and switching intention. This study incorporates the novel aspects of switching costs in examining the driving forces behind platform-switching in social commerce, thereby theoretically adding value to the existing body of knowledge. Apart from this, our findings also bear significant practical implications and are valuable for social commerce platforms and sellers to improve their user experience and retain existing customers.

Potential use of large language models for mitigating students' problematic social media use: ChatGPT as an example

The problematic use of social media has numerous negative impacts on individuals' daily lives, interpersonal relationships, physical and mental health, and more. Currently, there are few methods and tools to alleviate problematic social media, and their potential is yet to be fully realized. Emerging large language models (LLMs) are becoming increasingly popular for providing information and assistance to people and are being applied in many aspects of life. In mitigating problematic social media use, LLMs such as ChatGPT can play a positive role by serving as conversational partners and outlets for users, providing personalized information and resources, monitoring and intervening in problematic social media use, and more. In this process, we should recognize both the enormous potential and endless possibilities of LLMs such as ChatGPT, leveraging their advantages to better address problematic social media use, while also acknowledging the limitations and potential pitfalls of ChatGPT technology, such as errors, limitations in issue resolution, privacy and security concerns, and potential overreliance. When we leverage the advantages of LLMs to address issues in social media usage, we must adopt a cautious and ethical approach, being vigilant of the potential adverse effects that LLMs may have in addressing problematic social media use to better harness technology to serve individuals and society.

Generation Z's Health Information Avoidance Behavior: Insights From Focus Group Discussions

BACKGROUND

Younger generations actively use social media to access health information. However, research shows that they also avoid obtaining health information online at times when confronted with uncertainty.

OBJECTIVE

This study aims to examine the phenomenon of health information avoidance among Generation Z, a representative cohort of active web users in this era.

METHODS

Drawing on the planned risk information avoidance model, we adopted a qualitative approach to explore the factors related to information avoidance within the context of health and risk communication. The researchers recruited 38 participants aged 16 to 25 years for the focus group discussion sessions.

RESULTS

In this study, we sought to perform a deductive qualitative analysis of the focus group interview content with open, focused, and theoretical coding. Our findings support several key components of the planned risk information avoidance model while highlighting the underlying influence of cognition on emotions. Specifically, socioculturally, group identity and social norms among peers lead some to avoid health information. Cognitively, mixed levels of risk perception, conflicting values, information overload, and low credibility of information sources elicited their information avoidance behaviors. Affectively, negative emotions such as anxiety, frustration, and the desire to stay positive contributed to avoidance.

CONCLUSIONS

This study has implications for understanding young users' information avoidance behaviors in both academia and practice.

Psychological status of residents at the onset of nationwide COVID-19 lockdown in low- and medium-risk areas of China

The coronavirus disease 2019 (COVID-19), a dual threat to public physical and mental health, prompted an investigation into the psychological well-being of residents in low- to medium-risk areas of China during the initial stages of the pandemic. We administered WeChat-based questionnaire surveys and employed chi-square tests and multiple logistic regression to analyze correlations between residents' age, gender, education, symptoms, COVID-19 close contact history, information sources, and anxiety, depression, and attitudes toward lockdown measures. We received 10,433 valid questionnaires, revealing 26% anxiety and 19.5% depression. Support for lockdown measures reached 98.2%. Factors such as female gender, self-diagnosed pneumonia symptoms, close contact history, and higher education levels increased anxiety risk. Having a doctorate posed a severe anxiety risk, at 4.5 times (P = .019, 95% CI 1.29-15.73). Older age acted as a protective factor, reducing severe anxiety risk to 0.98 and 0.22 times (P < .001, 95% CI 0.14-0.34). Females with a master degree or below and those receiving COVID-19 information from multiple channels faced higher depression risk. Pneumonia symptoms were a risk for all anxiety and depression degrees. Attitudes toward lockdown measures had no significant impact on psychological status, nor did any of the analyzed factors affect residents' overall attitude toward lockdown. Our findings underscore the need for increased psychological counseling, particularly for young females with lower educational backgrounds or self-suspected infection symptoms, to mitigate mild to moderate anxiety and depression in future epidemics or pandemics. The public, especially those of working age with doctorates or higher education, bears the highest risk of severe anxiety. Lockdown measures enjoy strong support in low- to medium-risk areas of China.

COVID-19 Vaccine Information Seeking Patterns and Vaccine Hesitancy: A Latent Class Analysis to Inform Practice

CONTEXT

Throughout the COVID-19 pandemic, state and local health departments served as risk communicators to the public; however, public health practitioners have limited resources at their disposal when trying to communicate information, especially when guidance is rapidly changing. Identifying how the population gathers information across channels and which subsets of the population utilize which channels can help practitioners make the best use of these limited resources.

OBJECTIVE

To identify how individuals utilized different information channels to get COVID-19-related information and determine its effect on one COVID-19-related action: vaccine intentions.

DESIGN

This study applies latent class analysis to utilization of information channels to characterize information consumption patterns during the COVID-19 infodemic and then explores the relationship between these patterns and vaccine hesitancy.

SETTING

The data were collected from the COVID-19 Vaccine Hesitancy Survey , which is a nationally representative sample of US adults 18 years and older recruited from Social Science Research Solutions (SSRS)'s Opinion Panel.

PARTICIPANTS

The online survey was conducted between April 7 and April 11, 2021, after the COVID-19 vaccine was available to all adults and enrolled more than 3000 respondents (n = 3014).

MAIN OUTCOME MEASURES

Respondents were asked about their frequency of information seeking related to the COVID-19 vaccine, sociodemographics, and vaccine perceptions.

RESULTS

Based on fit statistics and prior research, we identified 6 latent classes that characterize information seeking: Nonseekers, Legacy, Legacy + Facebook/Instagram, Traditional Omnivore, Omnivore + Broad Social Media, and Twitter. Sociodemographics, political, economic, and COVID-19 exposure variables are associated with different patterns of seeking information about COVID-19. Membership in 3 of these classes was associated with higher rates of vaccine refusal and vaccine hesitancy.

DISCUSSION

The study has implications for public health officials and policymakers who use media channels to share news and health information with the public. Information should be tailored to the sociodemographic profiles of those users who are likely consuming information across multiple different channels.

The moderating effect of environmental gamification on the relationship between social media marketing and consumer-brand engagement: A case study of Ant Forest Gen Z users

Social media marketing plays a relevant role in the brand promotion of enterprises owing to its advantages of rapid and diversified communication with consumers. The Chinese Internet enterprise Alipay launched Ant Forest as a mobile application with gamified social functions, bringing consumer-brand engagement. Ant Forest provides a variety of gamification functions (e.g. point, leaderboard, badge, task and teamwork) to encourage users to participate in environmental protection and public welfare activities. These gamification mechanisms, combined with the spread of social media, have realised the co-creation of user brand value. In the current study, 305 Gen Z users of Ant Forest were surveyed through an online questionnaire, and the data analysis was conducted using the partial least squares structural equation modelling (PLS-SEM) method. This study indicates that the four elements of entertainment, trendiness, customisation and word-of-mouth in social media marketing have statistically significant direct effects on the consumer-brand engagement in Ant Forest. In addition, gamification shows a significant positive moderating effect on the relationship between customisation and consumer-brand engagement and a significant negative moderating effect on the relationship between trendiness and consumer-brand engagement in Ant Forest. This study adds gamification to the conceptual system of social media marketing and provides suggestions for the development of gamified social media marketing applications.

How does COVID-19-related social media usage influence disordered eating? A daily diary study among Chinese adults during lockdown

BACKGROUND

Despite previous studies highlighting the benefits of social media use during the COVID-19 pandemic, particularly under lockdown, limited research has identified the potential detrimental consequences of social media use during lockdown. Therefore, the purpose of this study is to examine the effects of social media on mental health in particular situations and the mechanisms underlying these effects.

METHODS

A daily diary protocol was adopted. A total of 96 adults (Mage = 25.90 ± 8.32 years) were recruited from Xi'an, Shaanxi Province, China. COVID-19-related social media use, psychological distress, COVID-19-related stress and anxiety, and disordered eating were measured each day for a week. Multilevel path analyses for the nested data were conducted.

RESULTS

Daily COVID-19-related social media use was positively related to daily disordered eating (r = .13 p < .001). Furthermore, the multilevel path analysis showed that psychological distress and COVID-19-related stress and anxiety mediated the relationship between COVID-19-related social media use and disordered eating at the within-person level. However, only COVID-19-related-anxiety mediated the relationship at the between-person level.

CONCLUSIONS

Our findings contribute to the understanding of social media's impact during lockdown and provide implications for social media users, social media platform providers, mental health professionals, and governments regarding the correct and sustainable use of social media during the COVID-19 pandemic and in future public health emergencies.

Exploring the perceptions and lived experiences of family members living with people diagnosed with COVID-19 in South Africa: a descriptive phenomenological study

BACKGROUND

The incidence and prevalence of COVID-19 continues to escalate globally, with the consequence to quality of life, the economies of nations and various sectors of society. While there is substantial research on the impact and experiences of the COVID-19 pandemic, little remains known about the perceptions and lived experiences of families living with people diagnosed with COVID-19, particularly within the South African context.

PURPOSE

To explore the perceptions and lived experiences of family members  living with people diagnosed with COVID-19 in South Africa.

METHODS

A descriptive phenomenological design was used. Data were collected from 15 participants who were family members of people diagnosed with COVID-19 in South Africa. Purposive snowball sampling was used to identify and recruit participants, and data were collected at community level in KwaZulu-Natal, Western Cape and Gauteng, South Africa. Individual in-depth interviews were used to collect the data, and an audio tape was used to record all interviews. Data were transcribed verbatim and analysed using a phenomenological data analysis processes. Ethical approval to conduct the study was obtained from the University of KwaZulu-Natal Research Ethics Committee-reference number: BREC00003228/2021.

RESULTS

Four super-ordinate themes emerged in relation to the perceptions and lived experiences of family members  living with people diagnosed with COVID-19 in South Africa. The superordinate themes were: (1) sources of information about COVID-19, (2) pandemic  perceptions and experiences, (3) impact of diagnosis and related burden and (4) aftermath of living with a family member diagnosed with COVID-19.

DISCUSSION AND CONCLUSION

Family members' perceptions and lived experiences of COVID-19 are largely influenced by media, moreover, the impact of diagnosis has consequences for the physical, mental and emotional well-being of family members. Diagnosis disrupts family dynamics by depleting financial resources due to  the caregiver burden experienced. The findings thus imply that provision of psychosocial support is imperative for families living with persons diagnosed with COVID-19.

Understanding and managing the Self-Wise during a healthcare crisis

The COVID-19 pandemic has brought an interesting yet worrisome phenomenon to the fore. A segment of the population, which we call the Self-Wise, seems to exhibit an inflated sense of self-expertise relative to domain experts, which - combined with a lack of trust in the latter - leads them to ignore or reject expert advice. We argue and demonstrate that this phenomenon is distinct from other "illusory superiority" phenomena, most notably Dunning-Kruger and Lake Wobegon. Three studies with US participants provide compelling evidence for the existence of the Self-Wise phenomenon. In the context of COVID-19, its behavioral consequences are non-compliance with expert-based COVID-19 guidelines and measures (e.g., wearing a mask and getting vaccinated). The studies also provide insight into additional characteristics of the Self-Wise, which can be used for identification and targeting purposes. We tested the effectiveness of two tailored interventions that aimed at reducing this segment's "illusory superiority" and (re-)establishing their trust in medical experts. The interventions proved effective in terms of reducing the "illusory superiority" of the Self-Wise, and generally enhanced the participants' intention to comply with COVID-19 guidelines. However, to substantially change the non-conforming COVID-19 behavior of the Self-Wise likely requires stronger and sustained mitigation strategies or interventions.

Examining the association between social media fatigue, cognitive ability, narcissism and misinformation sharing: cross-national evidence from eight countries

Several studies have explored the causes and consequences of public engagement with misinformation and, more recently, COVID-19 misinformation. However, there is still a need to understand the mechanisms that cause misinformation propagation on social media. In addition, evidence from non-Western societies remains rare. This study reports on survey evidence from eight countries to examine whether social media fatigue can influence users to believe misinformation, influencing their sharing intentions. Our insights also build on prior cognitive and personality literature by exploring how this mechanism is conditional upon users' cognitive ability and narcissism traits. The results suggest that social media fatigue can influence false beliefs of misinformation which translates into sharing on social media. We also find that those with high levels of cognitive ability are less likely to believe and share misinformation. However, those with low cognitive ability and high levels of narcissism are most likely to share misinformation on social media due to social media fatigue. This study is one of the first to provide cross-national comparative evidence highlighting the adverse effects of social media fatigue on misinformation propagation and establishing that the relationship is not universal but dependent on both cognitive and dark personality traits of individuals.

Harnessing Youth Engagement With Mental Health TikTok and Its Potential as a Public Health Tool

At different institutions, we were seeing the same trend-TikTok arising more in discussion during appointments. It is hard to accurately quantify the mental health-related content on Tik-Tok because it is ever-increasing. Nevertheless, national news outlets have reported on the worrisome trend of self-diagnosis of mental health disorders via TikTok. In 2018, Shafi et al. described the importance of understanding the role of social media in adolescents' lives.1 Four years later, that role continues to evolve and to become ever more prominent. As of September 2021, 25% of TikTok users were 10 to 19 years old and 22.4% were 20 to 29 years old. That is an estimated 172,250,000 users.2 As of February 2022, #anxiety registers 11.7 billion, #ADHD 9.4 billion, #BPD 3.9 billion, #depressed 3.6 billion, #bipolar 2.1 billion, and #DID 1.5 billion views.

"No more COVID-19 messages via social media, please": the mediating role of COVID-19 message fatigue between information overload, message avoidance, and behavioral intention

Employing the stressor-strain-outcome framework, this study demonstrates that COVID-19 information overload on social media exerts a significant effect on the level of fatigue toward COVID-19-related messages. This feeling of message fatigue also makes people avoid another exposure to similar types of messages while diminishing their intentions to adopt protective behaviors in response to the pandemic. Information overload regarding COVID-19 on social media also has indirect effects on message avoidance and protective behavioral intention against COVID-19, respectively, through the feeling of fatigue toward COVID-19 messages on social media. This study emphasizes the need to consider message fatigue as a significant barrier in delivering effective risk communication.

Antecedents to Consumers' Green Hotel Stay Purchase Behavior during the COVID-19 Pandemic: The influence of green consumption value, emotional ambivalence, and consumers' perceptions

When traveling for tourism purposes during the COVID-19 pandemic, some consumers might want to stay at green hotels because of these products' images and practices. At the same time, these green establishments also need consumer support to remain in business once the virus is under control. This study explores green hotels' challenges and opportunities by examining the factors that contribute to consumers' green hotel stay purchase behavior during the COVID-19 pandemic. A total of 429 participants completed questionnaires, and the answers revealed that consumers' perceived health risks and green hotels' perceived persuasiveness can affect their emotional ambivalence that, in turn, can affect their green purchase behavior of hotel stays. Furthermore, the relationship between emotional ambivalence and purchase behavior can be moderated by consumers' green consumption values. The findings of this research contribute to the tourism literature and green product consumption research. In addition, implications for green hotel practitioners are discussed.

Media Production on Smartphones: Analysis of the Timing, Content, and Context of Message Production Using Real-World Smartphone Use Data

Although media production is a critical concept in communication theory, we know surprisingly little about the timing, content, and context of individuals' production behavior. Intensive observation and analysis of 94 American adults' smartphone use over 1 week showed that although time spent in producing content was on average only about 6 percent of the amount of time spent on smartphones, the production content was more purposeful, expressive, articulate, condensed, confident, personal, and emotionally charged than consumption content. Analysis of the temporal dynamics of production suggests that the content consumed in the minute before individuals' production began to resemble the subsequently produced content. Other results suggest that content production on smartphones was fragmented, idiosyncratic, and purposeful, highlighting the impact of individuals' quick interactions with media, and the need to develop user-centric theories about how, when, and why individuals produce digital content.

Understanding individual psychological and behavioral responses during COVID-19: Application of stimulus-organism-response model

To comprehend the nature, implications, risks and consequences of the events of the COVID-19 crisis, individuals largely relied on various online information sources. The features of online information exchange (e.g., conducted on a massive scale, with an abundance of information and unverified sources) led to various behavioral and psychological responses that are not fully understood. This study therefore investigated the relationship between exposure to online information sources and how individuals sought, forwarded, and provided COVID-19 related information. Anchored in the stimulus-organism-response model, cognitive load theory, and the theory of fear appeal, this study examined the link between the online consumption of COVID-19-related information and psychological and behavioral responses. In the theory development process, we hypothesized the moderating role of levels of fear. The research model included six hypotheses and was empirically verified on self-reported data (N = 425), which was collected in early 2021. The results indicate that continuous exposure to online information sources led to perceived information overload, which further heightened the psychological state of cyberchondria. Moreover, the act of seeking and providing COVID-19 information was significantly predicted by perceived cyberchondria. The results also suggest that higher levels of fear led to increased levels of seeking and providing COVID-19-related information. The theoretical and practical implications of these findings are presented, along with promising areas for future research.

How COVID-19 impacted cultural consumption: an explorative analysis of Gen Z’s digital museum experiences

Since the outbreak of the COVID-19 pandemic, arts and culture have experienced a paradoxical situation. The sector has been one of the most negatively affected due to both mobility restrictions and social distancing; yet for the same reasons, demand for online cultural experiences has intensified, and digital access has become more critical than ever. While extant research has focused mainly on the offering side of such changes and developments, this paper investigates how the pandemic impacted on cultural consumption online, and particularly for museum products. The research takes on a demand perspective, an often neglected one when analyzing digitalization and innovation in museums’ offering. Through a direct survey approach, the paper addresses a gap in research on younger subjects, the Generation Z, typically a non-demand segment. It specifically investigates their reactions to digital museum experiences, a realm that research based on museum data has pointed out as a probable route to their involvement. The research is based on two surveys on cultural consumption of a sample of Italian university students of over 1000 respondents, before and during lockdown. Results show that during COVID-19 not only has online cultural consumption increased, but so has the quality of the associated experience, where online museum visits are concerned. Results indicate that learning processes occurred during the pandemic, suggesting potential changes in cultural consumption mediated by digital technologies, with implications for multi-channel strategies of museums in the post-pandemic scenario.

The Effect of Intolerance of Uncertainty on State Anxiety in the Regular Epidemic Prevention and Control Phase in the Context of Informatization: A Moderated Chain Mediation Model

The COVID-19 pandemic has led to a generally high level of state anxiety resulting from the high contagiousness of the disease and strict prevention and control policies. The present study mainly focused on the relationship between the individual intolerance of uncertainty and state anxiety in the regular epidemic prevention and control phase in China, and aimed to investigate the mediating role of information overload and rumination, as well as the moderating role of self-compassion. A total of 992 Chinese residents from 31 provinces participated in this study, and completed questionnaires regarding intolerance of uncertainty, information overload, self-compassion, rumination, and state anxiety. Descriptive statistics and correlation analyses, as well as tests for mediating effects and moderated chain mediating effects, were performed on the data using SPSS 26.0 and Process 3.5 macro program. The findings indicated that intolerance of uncertainty significantly predicted individual state anxiety. Information overload mediates the effects of intolerance of uncertainty and state anxiety. Rumination also mediates the effect of uncertainty intolerance on state anxiety. Information overload and rumination have a chain mediation effect on the link between intolerance of uncertainty and state anxiety. Self-compassion mediates the effect of information overload on rumination. The results illuminate theoretical and practical implications in the regular epidemic prevention and control phases and reveal the protective role of self-compassion.

From Heroes to Scoundrels: Exploring the effects of online campaigns celebrating frontline workers on COVID-19 outcomes

This paper examines the effects of online campaigns celebrating frontline workers on COVID-19 outcomes regarding new cases, deaths, and vaccinations, using the United Kingdom as a case study. We implement text and sentiment analysis on Twitter data and feed the result into random regression forests and cointegration analysis. Our combined machine learning and econometric approach shows very weak effects of both the volume and the sentiment of Twitter discussions on new cases, deaths, and vaccinations. On the other hand, established relationships (such as between stringency measures and cases/deaths and between vaccinations and deaths) are confirmed. On the contrary, we find adverse lagged effects from negative sentiment to vaccinations and from new cases to negative sentiment posts. As we assess the knowledge acquired from the COVID-19 crisis, our findings can be used by policy makers, particularly in public health, and prepare for the next pandemic.

Prevalence of mental health symptoms in children and adolescents during the COVID-19 pandemic: A meta-analysis

The COVID-19 pandemic and its accompanying infection control measures introduced sudden and significant disruptions to the lives of children and adolescents around the world. Given the potential for negative impacts on the mental health of youths as a result of these changes, we conducted a systematic review and meta-analysis to examine the prevalence of depressive symptoms, anxiety symptoms, and sleep disturbances in children and adolescents during the pandemic. We searched major literature databases for relevant cross-sectional or longitudinal studies that included primary and secondary school students or children and adolescents ≤18 years of age. Prevalence values were extracted, logit-transformed, and pooled. Based on 191 included studies with 1,389,447 children and adolescents, we found the pooled prevalence of depressive symptoms, anxiety symptoms, and sleep disturbances to be 31%, 31%, and 42%, respectively. Age, grade levels, education levels, gender, geographical regions, and electronics use were correlated with the prevalence of mental health symptoms. The prevalence of mental health symptoms also increased with time, although signs of recovery and stabilization were also observed. Overall, the results from this review demonstrate the need for increased mental health research, monitoring, and intervention for children and adolescents during the current and future pandemics.

Social Media Overload and Anxiety Among University Students During the COVID-19 Omicron Wave Lockdown: A Cross-Sectional Study in Shanghai, China, 2022

Objectives: The increase in the intensity of social media use during the COVID-19 lockdown has affected mental health. Therefore, it is of practical implications to explore the association between social media overload and anxiety and the underlying mechanisms. Methods: Using data from 644 university students during the COVID-19 blockade in Shanghai from March to April 2022, the chain mediation model of information strain and risk perception of omicron between social media overload and anxiety was then tested using the macro PROCESS4.0 tool. Results: The findings showed that social media overload (including information overload and social overload) was positively associated with anxiety. This relationship was mediated by information strain and risk perception of Omicron. A chain mediating role of information strain and risk perception of Omicron has also been proved in this study. Conclusion: Social media overload has a positive effect on anxiety by increasing information strain and risk perception of Omicron. This study provides some implications for future interventions on how to use social media properly for mental health during the pandemic and health management of urban governance.

Perceived Information Overload and Intention to Discontinue Use of Short-Form Video: The Mediating Roles of Cognitive and Psychological Factors

The current study investigated the effects of Chinese young adult users' perceived information overload (i.e., the daily perception of exposure to excessive information) on their intention to stop using short-form video applications. Specifically, this study accomplished this by measuring the direct and indirect effects of social media fatigue, maladaptive coping, and life dissatisfaction in relation to users' intention to discontinue their use of short-form video applications. The data were collected using a web-based survey and validated questionnaire, with a sample of 340 young adult (18-26 years old) respondents. The results indicated that perceived information overload had a direct effect on the intention to discontinue the use of short-form video applications. Moreover, short-form video fatigue, maladaptive coping, and life dissatisfaction all played mediating roles in the relationship between perceived information overload and the intention to discontinue the use of short-form video applications among young adults in China.

Promoting young people's mental health: the role of community nurses

There are growing concerns about the mental health and well-being of young people, including how these have been negatively affected by factors such as the coronavirus disease 2019 (COVID-19) pandemic and social media. Community nurses are in an ideal position to promote positive mental health and ensure timely referral to appropriate services to enable young people to access the support they need. This article explores how the pandemic and social media have affected young people's mental health, particularly in relation to anxiety. It also explains how nurses can discuss these issues with young people and their parents or guardians.

An investigation on information quality, media richness, and social media fatigue during the disruptions of COVID-19 pandemic

Mobile social platforms have become a valuable information source by which users gain information about the COVID-19 pandemic. However, little is known about whether users have experienced increased daily fatigue as a result of the disruptions caused by pandemic. Drawing on the cognitive activation theory of stress (CATS), this study proposed that two typical characteristics of social media platforms (SMP), information quality and media richness, are associated with event disruptions of the COVID-19 pandemic (EDC), and then induce social media fatigue. To address this, this study used the experience sampling method (ESM), collecting 550 matched cases from 110 users of the WeChat application in mainland China over five consecutive days. Through multilevel structural equation modeling (MSEM), this study discovered three main findings: (1) daily information quality is negatively related to event disruptions of the COVID-19 pandemic, which in turn decreases daily social media fatigue; (2) daily media richness is positively associated with such event disruptions, which ultimately increases daily social media fatigue; (3) these effects were stronger for users who reported higher (vs. lower) levels of health consciousness. The implications of these results for the COVID-19 pandemic and beyond are discussed.

COVID-19, social identity, and socially responsible food consumption between generations

Introduction

The objective of the research was to analyze the effect of COVID-19 with the predictors of the health belief model (perceived severity, perceived benefits, and cue to action) on the social identity of the consumer and the social identity of the socially responsible food consumption among four generation groups of adults based on the stimulus-organism-response model.

Methods

The study had a quantitative approach explanatory design and a cross-sectional temporal dimension. A total of 834 questionnaires were collected from adults in the metropolitan area of Mexico City, and the data were analyzed through partial least squares structural equation modeling.

Results

The results indicated that perceived severity, perceived benefits, and cue to action positively and significantly influenced social identity, and this positively and significantly influenced socially responsible consumption. In addition, identity was found to be a variable that had a total mediation effect between perceived severity and socially responsible consumption, perceived benefits and socially responsible consumption, and cue to action and socially responsible consumption. While the perceived barriers only had a direct effect on socially responsible consumption. Likewise, a difference was found between generation X and Y, generation Z and X, and generation Y and X in the relationship between cue to action, belonging to a social network group, and social identity.

Discussion

In this sense, these results allow us to consider that when environmental stimuli (predictors of the health belief model) affect the organism (social identity), it will respond with socially responsible food consumption. This type of consumption is explained through social identity and is modified according to the age of the consumers due to the effects of social networks.

Social media use for coping with stress and psychological adjustment: A transactional model of stress and coping perspective

Introduction

The psychological well-being of individuals has become an essential issue during the global pandemic. As a pervasive activity for individuals to pull through COVID-19, social media use may play a role in psychological well-being. Drawing on the transactional model of stress and coping, the current study investigated the relationships between COVID-19-related stressors and the use of social media to facilitate specific coping strategies. We further investigated how social media coping strategies impact users' psychological adjustment.

Methods

We collected the data from 641 quarantined residents through a two-wave survey that was conducted in two cities in China during government-mandated lockdowns.

Results

The results showed that perceived COVID-19 stress was related to the intensity of social media use for problem-focused coping, socioemotional coping, and mental disengagement. In addition, individuals' psychological adjustment was positively associated with social media use for socioemotional coping and mental disengagement while negatively related to problem-focused coping. Age was also found to be a moderator of the relationship between socioemotional coping and psychological adjustment.

Discussion

To relieve pandemic-related stress, individuals can actively utilize social media to implement various coping strategies. However, coping activities with social media may not always induce psychological benefits. By revealing the different levels of psychological adjustment among social media users with specific coping strategies, the current research enriched the literature on the effects of social media use on mental health. Findings from this study suggest the need for the prudent use of social media to cope with public health crises.

Screen time, phone usage, and social media usage: Before and during the COVID-19 pandemic

Objective

Technology use has increased in the past several years, especially among younger generations. The COVID-19 pandemic drastically changed how people work, learn, and interact, with many utilizing technology for daily tasks and socializing.

Methods

The current study investigated a sample of college students using a cross-sectional design to determine whether there was a change in how much time students spent on screens, phones, and social media.

Results

Findings indicated that time on screens and phones was significantly higher during the pandemic; however, time spent on social media did not differ significantly.

Conclusion

These findings suggest that students are spending more time working and socializing on their screens and phones, yet social media may not be the platform in which students are doing this. Future studies should further explore technology usage and whether these trends during the COVID-19 pandemic will be lasting.

How Differential Dimensions of Social Media Overload Influences Young People's Fatigue and Negative Coping during Prolonged COVID-19 Pandemic? Insights from a Technostress Perspective

Although social networking sites have emerged as the primary source of information for young people, there is a dearth of knowledge concerning the underlying associations between differential aspects of social media overload and whether social media overload ultimately influenced people's negative coping strategies during the prolonged COVID-19 pandemic. In order to fill this gap in existing knowledge, the current research employed the stressor-strain-outcome (SSO) theoretical paradigm to explicate social media fatigue and negative coping strategies from a technostress perspective. The study used cross-sectional methodology, whereby 618 valid questionnaire responses were gathered from WeChat users to assess the conceptual model. The obtained outcomes demonstrated that information overload and communication overload positively impacted young people's fatigue. Furthermore, these two patterns of perceived overload heighten social media fatigue, which ultimately leads to young people's negative coping with the COVID-19 pandemic. These findings would extend the present social media fatigue and technical stress literature by identifying the value of the SSO theoretical approach in interpreting young people's negative coping phenomena in the post-pandemic time.

A four-level meta-analytic review of the relationship between social media and well-being: a fresh perspective in the context of COVID-19

Social media, one of the most pervasive forms of technology, has been widely studied in relation to the mental health and well-being of individuals. However, the current literature on social media and well-being has provided mixed and inconclusive findings, thus creating a polarizing view of social media. These mixed findings continue to extend into the pandemic, with researchers debating over the effects of social media in the new norms of social isolation. In light of these inconclusive findings, the aim of our meta-analysis was to synthesize previous research data in order to have a holistic understanding of the association between social media and well-being, particularly in the present context of COVID-19. The current meta-analysis systematically investigated 155 effect sizes from 42 samples drawn from 38 studies published during the COVID-19 pandemic (N = 43,387) and examined the potential moderators in the relationship between social media and well-being, such as the different operationalizations of social media usage and demographics. Overall, our study found that the relationship between social media usage and well-being was not significant in the context of COVID-19. Additionally, the impact of various moderators on the relationship between social media and well-being was found to vary. We discuss the various theoretical, methodological and practical implications of these findings and highlight areas where further research is necessary to shed light on the complex and nuanced relationship between social media and well-being.

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

Objective

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

Methods

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

Results

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

Conclusions

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

The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges

The COVID-19 pandemic is the most devastating public health crisis in at least a century and has affected the lives of billions of people worldwide in unprecedented ways. Compared to pandemics of this scale in the past, societies are now equipped with advanced technologies that can mitigate the impacts of pandemics if utilized appropriately. However, opportunities are currently not fully utilized, particularly at the intersection of data science and health. Health-related big data and technological advances have the potential to significantly aid the fight against such pandemics, including the current pandemic's ongoing and long-term impacts. Specifically, the field of natural language processing (NLP) has enormous potential at a time when vast amounts of text-based data are continuously generated from a multitude of sources, such as health/hospital systems, published medical literature, and social media. Effectively mitigating the impacts of the pandemic requires tackling challenges associated with the application and deployment of NLP systems. In this paper, we review the applications of NLP to address diverse aspects of the COVID-19 pandemic. We outline key NLP-related advances on a chosen set of topics reported in the literature and discuss the opportunities and challenges associated with applying NLP during the current pandemic and future ones. These opportunities and challenges can guide future research aimed at improving the current health and social response systems and pandemic preparedness.

Digital Information Approach through Social Media among Gen Z and Millennials: The Global Scenario during the COVID-19 Pandemic

An infodemic represents a concern for public health, influencing the general population's perceptions of key health issues. Misinformation is rapidly spread by social media, particularly among young generations. We used data from the WHO "Social Media and COVID-19" study, which was conducted in 24 countries worldwide on over 23,000 subjects aged 18-40 years, to explore Generation Z and Millennials' models for health-information-seeking behaviors on social media. We summarized data on the most used sources of information, content of interest, and content sharing, as well as the sentiment toward the infodemic, through descriptive statistics and Chi-square test to verify the differences between groups. Among the survey respondents, 9475 (40.3%) were from high-income countries (HIC), 8000 (34.1%) from upper-middle-income countries (UMIC), and 6007 (25.6%) from lower-middle-income countries (LMIC). Social media were the most used sources of information to retrieve news on COVID-19 disease (about 79% in HIC, 87% in UMIC, and 90% in LIC) and the COVID-19 vaccine (about 78% in HIC and about 88% in UMIC and LIC). More than a half of the young respondents declared that they pay attention to scientific contents (about 51% in HIC, 59% in UMIC, and 55% in LMIC). Finally, most young participants reported feeling overwhelmed by the infodemic. However, this sentiment did not stop them from seeking information about COVID-19. Our findings highlight the importance of shaping public health interventions and campaigns on social media platforms and leveraging scientific contents. Public health authorities should work also on strategies to improve the digital literacy of the population as a driving force to empower them and achieve better health outcomes.

Information overload and misinformation sharing behaviour of social media users: Testing the moderating role of cognitive ability

Sharing of misinformation on social media platforms is a global concern, with research offering little insight into the motives behind such sharing. Drawing from the cognitive load theory and literature on cognitive ability, we developed and tested a research model hypothesising why people share misinformation. We also tested the moderating role of cognitive ability. We obtained data from 385 social media users in Nigeria using a chain referral technique with an online questionnaire as the instrument for data collection. Our findings suggest that information overload and social media fatigue are strong predictors of misinformation sharing. Information stress also contributed to misinformation sharing behaviour. Furthermore, cognitive ability moderated and weakened the effect information strain and information overload have on misinformation sharing in such a way that this effect is more pronounced among those with low cognitive ability. This indicates that those with low cognitive ability have a higher tendency to share misinformation. However, cognitive ability had no effect on the effect social media fatigue has on misinformation sharing behaviour. The study concluded with some theoretical and practical implications.

The influence of pessimism on adverse network behavior during COVID-19: the mediating effect of negative affect and risk perception

There had been an information epidemic during the COVID-19, which led to a lot of adverse network behavior among Internet users. From the perspective of cognition and emotion, this study focused on exploring the influence mechanism of pessimism on undergraduates' adverse network behavior, and introduced the mediating variable of negative affect and risk perception. In this study, a cross-sectional questionnaire was used to evaluate pessimism, negative affect, risk perception and adverse network behavior of undergraduates to explore the characteristics of network behaviors of undergraduates during the COVID-19. 600 undergraduates from three universities in a city in China were selected as participants, among whom 312 students are female and 288 students are male. The results are as follows: (1) Pessimism is positively correlated with adverse network behavior, and pessimism has a significant positive effect on adverse network behavior. (2) Pessimism is positively correlated with negative affect, and negative affect is positively correlated with adverse network behavior. The mediating effect analysis shows that the mediating effect of negative affect on the relationship between pessimistic personality and adverse network behavior has statistical significance. (3) Pessimism is positively correlated with risk perception and risk perception is positively correlated with adverse network behavior. The mediating effect analysis shows that the mediating effect of risk perception on the relationship between pessimistic personality and adverse network behavior has statistical significance.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03584-z.

Youth Insight About Social Media Effects on Well/Ill-Being and Self-Modulating Efforts

PURPOSE

We aim to investigate youth insight about how their social media use affects them. We hope to understand if and how they self-modulate their use.

METHODS

Using a text message-based platform, codable survey responses were returned by a minimum of 871 of 1,144 youth aged 14-24 in November, 2020. Youth were asked the following three questions: (1) What advice would you give to young people who are new to social media? (2) Have you ever felt like you need to change your social media use (what you view, time spent, etc.)? Why? (3) Have you ever deleted or thought about deleting your social media account(s)? Why? A codebook was created from the data and two coders independently coded the entirety of the data set using the 18-code codebook. Coders resolved discrepancies in coding patterns together and the frequency of each code was recorded.

RESULTS

Youth showed insight about negative impacts of social media and were especially concerned about safety on social media. A majority of respondents deleted or thought about deleting their social media account or app. Youth were more likely to report wanting to change the amount of time spent on their social media compared to the content they view.

DISCUSSION

Youth are aware of ways in which social media could be negatively impacting them and they have employed methods to modulate their use because of this awareness.

Effect of social media overload on college students’ academic performance under the COVID-19 quarantine

Features and relevant services of online social media have been attracting users during the COVID-19 pandemic. Previous studies have shown that college students tend to use social media more frequently than other groups. However, in being affected by social media overload, the social media use behaviors of many college students have been out of their control in terms of their capabilities or cognition. Based on the stressor–strain–outcome (SSO) model and the theory of compensatory internet use (TCIU), we developed a research model to study the causes of social media overload and its impact on college students’ academic performance during the COVID-19 pandemic. A total of 441 valid responses from college students through questionnaires in China are collected via purposive sampling and used in the data analysis. This study conducts PLS-SEM to analyze collected data, finding that boredom proneness is associated with overload (stress), which has a bearing on social media overload (strain) and the reduction in final performance (outcome). Through illustrating the psychological and behavioral conditions that hinder the academic performance of students, this study provides deeper insights into students’ uncontrollable use of social media. Moreover, with respect to the identified antecedents, this study aims to find solutions to mitigate the impact of social media overload resulting from boredom proneness on the academic performance of college students.

Pathway linking health information behaviors to mental health condition during the COVID-19 infodemic: A moderated mediation analysis

Background

The COVID-19 outbreak is no longer a pure epidemiological concern but a true digital infodemic. Numerous conflicting information and misinformation occupy online platforms and specifically social media. While we have lived in an infodemic environment for more than 2 years, we are more prone to feel overwhelmed by the information and suffer from long-term mental health problems. However, limited research has concentrated on the cause of these threats, particularly in terms of information processing and the context of infodemic.

Objective

This study proposed and tested moderated mediation pathways from two types of health information behaviors (social media engagement and interpersonal communication) on information overload and mental health symptoms-long-term stress.

Methods

We conducted a cross-sectional online survey between May and June of 2021 among the Malaysian public. The final sample size was 676 (N = 676). A conceptual model was built to guide the data analysis. We conducted structural equation modeling (SEM), moderation and mediation analyses to examine each direct pathway, moderating and mediating effects.

Results

According to the pathway analysis, we found that, during the infodemic period, engaging COVID-19 information on social media positively associated with information overload, but interpersonal communication was negatively related to it. As the proximal outcome, there was also a positive association between information overload and the final outcome, perceived stress. The moderation analysis only reported one significant interaction: risk perception weakened the association between social media engagement and information overload. A conditional indirect effect was demonstrated and the indirect associated between social media engagement and perceived stress mediated through information overload was further moderated by COVID-19 risk perception.

Conclusion

This research offers new grounds for understanding health information behaviors and their consequences in the COVID-19 infodemic. We particularly highlighted the distinct functions of health information behaviors in causing information overload, as well as the importance of personal health belief in this process. Our proposed model contributes to the strategies of developing health messaging strategies that may be utilized by public health researchers and health educators in the future.

Managing the retail operations in the COVID-19 pandemic: Evidence from Morocco

Novel coronavirus disease (COVID-19) and resulting lockdowns have contributed to major retail operational disturbances around the globe, forcing retail organizations to manage their operations effectively. The impact can be measured as a black swan event (BSE). Therefore, to understand its impact on retail operations and enhance operational performance, the study attempts to evaluate retail operations and develop a decision-making model for disruptive events in Morocco. The study develops a three-phase evaluation approach. The approach involves fuzzy logic (to measure the current performance of retail operations), graph theory (to develop an exit strategy for retail operations based on different scenarios), and ANN and random forest-based prediction model with K-cross validation (to predict customer retention for retail operations). This methodology is preferred to develop a unique decision-making model for BSE. From the analysis, the current retail performance index has been computed as "Average" level and the graph-theoretic approach highlighted the critical attributes of retail operations. Further, the study identified triggering attributes for customer retention using machine learning-based prediction models (MLBPM) and develops a contactless payment system for customers' safety and hygiene. The framework can be used on a periodic basis to help retail managers to improve their operational performance level for disruptive events.

Impact of online convenience on generation Z online impulsive buying behavior: The moderating role of social media celebrity

This research aims to determine which dimensions of online convenience influence generation z consumers’ cognitive and affective attitudes and online impulsive buying behavior. The moderating effect of social media celebrity is also investigated to examine the attitude-behavior gap. A total of 348 responses from Chinese users who followed digital celebrities were received using purposive sampling. Data analysis and hypothesis testing were carried out using SmartPLS, version 3 (partial least squares). The results indicated that relationship convenience, possession convenience, post possession conveniences, transaction convenience, and evaluation convenience have a crucial impact on cognitive and affective attitudes. Similarly, cognitive and affective attitudes are significant and positive predictors of generation z consumers’ online impulsive buying behavior. Moreover, empirical results supported the moderating role of social media celebrities that aid marketers in selecting a product endorser. The implications for marketers and policymakers are discussed based on the above research findings. Moreover, future research directions are suggested.