Audience management, online turbulence and lurking in social networking services: A transactional process of stress perspective

"Left on read" examining social media users' lurking behavior: an integration of anxiety and social media fatigue

Introduction

With the widespread use of social media, the behavior and mindset of users have been transformed, leading to a gradual increase in lurking users, which can impede the sustainable development of social media platforms. In this study, we aim to investigate the impact of intrinsic and extrinsic motivational factors on social media users' anxiety, social media fatigue, and lurking behavior.

Methodology

For the confirmation of these phenomena and to validate the theories, a structural equation model was constructed based on the SSO (Stressor-Strain-Outcome) theoretical framework. The model was then tested and validated with data from 836 valid online surveys. These data were analyzed using SPSS 27.0 and AMOS 24.0 software.

Results

The results indicate that intrinsic motivations (such as social comparison and privacy concerns) and extrinsic motivations (including information overload, functional overload, and social overload) are positively associated with users' lurking behavior through the mediating effects of social media fatigue and anxiety. Additionally, for the mediator variables, social media fatigue was found to be positively associated with anxiety.

Discussion

These findings underscore the importance of social media platforms considering both intrinsic and extrinsic motivational factors to mitigate user anxiety and social media fatigue. By addressing these factors, platforms can foster user satisfaction and increase engagement, ultimately contributing to the sustainable development of social media platforms.

Exploring the relationship between coping styles and well-being among Chinese university students: A longitudinal study based on the transactional stress model

In the context of the COVID-19 pandemic, university students were exposed to increased stress, which significantly affected their well-being. This study examines the coping mechanisms employed by Chinese university students during this crisis, with a particular focus on the potential protective role of coping flexibility in maintaining their well-being. Using the transactional stress model and the dual-process theory of coping flexibility, this longitudinal study analyzed the responses of 206 Chinese university students at three measurement points in late 2022. The findings suggest that disruptions in daily life during the pandemic likely led students to engage in problematic internet use as a coping strategy, which subsequently led to reduced well-being. However, the study also shows that coping flexibility plays a crucial protective role in maintaining students' well-being. These findings highlight the urgent need for targeted interventions aimed at enhancing coping flexibility among university students, especially in the evolving post-pandemic landscape.

Collectivism, face concern and Chinese-style lurking among university students: the moderating role of trait mindfulness

Introduction

This study focuses on understanding the unique causes and mechanisms of "Chinese-style lurking" on WeChat among university students, within a cultural context that emphasizes collectivism and face concern. The research also looks into the moderating role of trait mindfulness.

Methods

For the confirmation of these phenomena and to validate the theories, a structural equation model was constructed using the Stress-Strain-Outcome (SSO) theory and mindfulness buffering theory. The model was then tested and validated with data from 1,453 valid online surveys. These data were analyzed using the SmartPLS 4.0 software.

Results

The results indicate that collectivism increases face concern, which in turn escalates online social anxiety. Face concern completely mediates between collectivism and online social anxiety, creating a serial mediation effect between face concern, online social anxiety, and lurking behavior. Additionally, trait mindfulness was found to negatively modulate the pathways from collectivism to face concern and from online social anxiety to lurking.

Discussion

The findings underscore the influence of traditional Chinese culture on contemporary students' online behavior and provide a new perspective for understanding social media lurking in an Eastern context. The results suggest that a mindfulness-based approach could be used to mitigate the associated silence and anxiety.

Does WeChat use intensity influence Chinese college students' mental health through social use of WeChat, entertainment use of WeChat, and bonding social capital?

Background

Previous research notes that the usage of WeChat is significantly related to individuals' mental health, but the underlying mechanism is still not completely discovered. The present study aimed to explore the sequential mediating roles of WeChat use motivations and bonding social capital on the effects of WeChat use intensity on mental health in Chinese college students.

Method

The present study adopted an online survey with a total of 487 Chinese college students. Correlation analysis and serial mediation analysis were measured by process regarding the hypothesis.

Results

The study presented findings indicating that WeChat use intensity had both direct and indirect impacts on the levels of life satisfaction and loneliness experienced by college students in China. Specifically, the utilization of WeChat for social motivation and entertainment motivation was found to have a suppressive effect on the relationship between the intensity of WeChat usage and individuals' life satisfaction. The association between the intensity of WeChat usage and mental health outcomes (life satisfaction and loneliness) was found to be mediated by bonding social capital. Furthermore, the association between the intensity of WeChat usage and mental health was found to be mediated by the sequential mediation effects of using WeChat for social motivation and bonding social capital, as well as the sequential mediation effects of using WeChat for entertainment motivation and bonding social capital.

Conclusion

Our findings provide implications for policymakers and social workers regarding renovating the perceptions of the relationships between WeChat use intensity and overall mental health. Specifically, practical online activities and services of SNSs are recommended to be designed for meeting social and recreational gratifications and boosting bonding social capital, which in turn promotes psychological wellbeing.

Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm

The financial crisis of listed companies will bring huge losses to investors, so it is very important to establish a financial early warning model for investors and other stakeholders. The forward neural network model of particle swarm optimization is used to model and analyze the financial early warning of listed companies. In terms of data selection, earnings management indicators are substituted into the model for the common phenomenon of earnings management in listed companies. The results show that the accuracy of the model considering earnings management factors is improved from 65% to 70%. In the process of modeling, this paper uses the logistic regression model to further modify the model. The empirical results show that the accuracy of the model can be improved from 70% to 75%. When using the forward neural network model based on particle swarm optimization to make an empirical analysis of financial early warning of listed companies, adding quantitative indicators of earnings management can improve the accuracy of the model. In the demonstration, the correction of logistic regression model can also improve the accuracy of the particle swarm neural network financial early warning model. This greatly reduces the risk that companies with poor financial conditions will face bankruptcy and liquidation.

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.

Ephemerality in Social Media: Unpacking the Personal and Social Characteristics of Time Limit Users on WeChat Moments

Social media platforms increasingly give users the option of ephemerality through settings that delete or hide posted content after a set period of time. Many individuals apply these settings to manage their posting history and, in turn, reduce concerns about self-presentation. Despite the growing popularity of this feature, few studies have empirically explored it. This study examines the Time Limit setting on WeChat Moments as an example and investigates how users using the Time Limit setting differ from nonusers in terms of personal characteristics (demographics, personality traits, psychological factors, and previous behavioral patterns) and social characteristics (audience size and audience diversity). Compared with nonusers, users using Time Limit setting scored significantly higher on posting frequency and privacy setting use and scored significantly lower on audience size. We also examine how personal and social characteristics vary between user groups with different degrees of ephemerality (i.e., low, medium, or high). Our findings show that users using the Time Limit setting who scored higher on measures of life changes, self-monitoring, posting frequency, and audience size and lower on perceived stress were more likely to opt for the low (i.e., 6months) rather than the medium (i.e., 1month) or high (i.e., 3days) degree of ephemerality. Our work contributes to the understanding of ephemerality settings on social media platforms and provides insights that help practitioners design more effective platforms.