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Social media fatigue (SMF) has been widely recognized; however, previous studies have included various concepts into a single fatigue construct. Fatigue has typically been explored from the stressor-strain-outcome (SSO) or stimulus-organism-response (SOR) perspectives. To further investigate SMF, the authors split it into the two constructs of exhaustion and disinterest. Furthermore, the authors introduced the concept of emotional labor and identified rules that may affect surface and deep acting strategies.

The authors designed and conducted a survey to collect data from social networking platform users.

Results from 364 users of social networking platforms supported most of the authors' hypotheses. First, most of the display rules affect the choice of deep or surface acting. Second, both types of acting lead to exhaustion, but only surface acting leads to disinterest. Third, discontinuance intention is affected by both types of fatigue.

This study contributes to SMF research by adding more antecedents (deep and surface acting) based on the emotional labor perspective and showing the impacts of communication rules on emotional labor. In addition, this study also distinguishes disinterest-style fatigue from exhaustion.

During the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding toward message fatigue in using instant messengers. Based on the stressor-strain-outcome framework, this study provides a theoretical model to explore possible predictors and consequences of instant messaging fatigue.

The hypothesized model includes communication overload, social overload, instant messaging fatigue, technology and behavioral intention to use instant messaging. Three hundred and eleven responses are collected using an online survey. The authors conduct structural equation modeling to evaluate the hypothesized model and test the hypotheses.

This study reveals that (1) communication overload and social overload are positively associated with instant messaging fatigue and technostress; (2) higher levels of instant messaging fatigue and technostress are also related to a higher level of intention to discontinue usage; (3) technostress significantly mediates the relationship between instant messaging fatigue and intention to discontinue usage of instant messaging.

This study is limited to collect data from one university in the United States with a cross-sectional design. Future research should include other countries, different age groups and longitudinal methods to examine instant messaging fatigue.

This study extends existing findings on fatigue in using mobile communication by applying the stressor-strain-outcome framework to IM fatigue and improves the understanding of the potential negative aspects of instant messaging.

Based on the C-A-C framework, this article examined users' information avoidance intention in social media platforms.

The authors conducted data analysis using a mixed method of the SEM and fsQCA.

The results indicated that information overload, functional overload and social overload influence fatigue and dissatisfaction, both of which further determine users' information avoidance intention. The results of the fsQCA identified two paths that trigger users' information avoidance intention.

Extant studies have examined the information avoidance in the contexts of healthcare, academics and e-commerce, but have seldom explored the mechanism underlying users' information avoidance in social media. To fill this gap, this article will empirically investigate users' information avoidance in social media platforms based on the C-A-C framework.

Social media platforms are currently facing the challenge of declining user activity. Building on the push–pull–mooring (PPM) framework, the current study developed a research model to evaluate factors that affect Facebook discontinuance.

The proposed research model assessed how push factors (e.g. Facebook fatigue and dissatisfaction), a pull factor (e.g. alternative attractiveness) and mooring factors (e.g. personal norms and habit of using Facebook) affected the discontinued usage behavior regarding Facebook. The proposed research model was validated using empirical data (n = 412) collected from Facebook users.

Facebook fatigue, dissatisfaction and alternative attractiveness significantly and positively affected discontinued Facebook usage. Personal norms and habit of using Facebook had a converse influence in this regard. Dissatisfaction had a stronger positive impact than Facebook fatigue and alternative attractiveness on the discontinued usage behavior regarding Facebook. Habits of using Facebook had a greater negative effect than personal norms of using Facebook on the discontinued usage behavior regarding Facebook by users.

This study extends extant literature on social media discontinuance to identify the antecedents of discontinuous usage behavior in social media. This study enriches the literature on social media discontinuance by shedding light on the different degrees of effect of the push, pull and mooring factors on discontinuous social media usage behavior.

With the rapid improvement in digital infrastructure, the popularity of digital devices and smartphones in every pocket, the yearning to stay connected with others has increased manifold, especially in youngsters. This has raised multiple concerns primarily related to the problematic usage of the internet (PUI). The current research study aims to scrutinize the association between PUI, psychological and mental health (PMH), social media fatigue (SMF), fear of missing out (FOMO), desire to disconnect (DD) and its relation with a novel phenomenon of joy of missing out (JOMO).

The present research study embraces the empirical research method through quantitative analysis. The proposed theoretical model was empirically tested using primary data, collected through a self-designed structured questionnaire. The study sample included individuals between 16 and 39 years of age as these are the most active demographics on social media. The model is empirically tested with the help of structural equation modeling applied using software IBM AMOS 20.0 and SPSS 22.0. Initially, first-order confirmatory factor analysis was conducted, to measure and test the fit indices of the proposed model. Secondly, path analysis using structural equation modeling was carried out for the model.

Empirical synthesis of this research shows that PUI significantly and positively impacts mental and psychological health, FOMO and SMF. Also, SMF significantly and positively affects the DD which significantly and positively affects the JOMO. However, as depicted by the results of this study, FOMO have no considerable impact on SMF.

A study that connects the PUI with PMH, SMF and FOMO is rare to find. Second, this study uses data collected from social media users of India in the age group of 16–39 years. This slice of the population is most active in internet, and internet-enabled platform and are scantly studied, especially in the Indian context. This makes the study more exciting and crucial.

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).

Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships.

The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.

This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.

This research contributes to the limited literature on SMF by (1) introducing the concept of IED – as a consequence of SMF, and (2) creating measurement scales for IED.

Despite the various benefits of social networking services (SNSs), users have begun to experience fatigue in recent years, as evidenced by a decline in active user numbers. This relatively new phenomenon has only recently received significant managerial and academic attention. The antecedents of SNS fatigue are still unclear in the literature. The purpose of this paper is to identify the key factors causing SNS fatigue, based on a socio-technical approach.

The authors empirically tested this research model with 424 SNS users via an online survey. Structural equation modeling with partial least squares was used to analyze the data.

The results showed that the social factors of social comparison, social interaction overload, social surveillance and social information overload, and the technical factor of system complexity are significantly related to SNS fatigue.

This research benefits SNS providers by allowing them to better understand how to effectively design social networking platforms to retain and attract more users. It also benefits users by providing guidance on how to actively manage their own behavior to avoid potential negative outcomes induced by SNS usage.

This study focuses on the “dark side” of SNS from the perspective of fatigue, extending existing research on technostress. It also extends the applicability of the socio-technical approach to the phenomenon of SNS fatigue. Moreover, it enriches SNS fatigue research by addressing the importance of both social and technical factors in causing SNS fatigue.

The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.

This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.

The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.

This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.

In light of the stimulus-organism-response (SOR) theoretical paradigm, this paper explores how information relevance and media richness affect social network exhaustion and, moreover, how social network exhaustion ultimately leads to health anxiety and COVID-19-related stress.

The conceptual model is explicitly analyzed and estimated by using data from 309 individuals of different ages in mainland China. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were utilized to validate the proposed hypotheses through the use of online data.

The findings suggest that information relevance is negatively associated with social network exhaustion. In addition, social network exhaustion is a significant predictor of health anxiety and stress. Furthermore, information relevance and media richness can indirectly influence health anxiety and stress through the mediating effect of social network exhaustion.

Theoretically, this paper verifies the causes and consequences of social network exhaustion during COVID-19, thus making a significant contribution to the theoretical construction and refinement of this emerging research area. Practically, the conceptual research model in this paper may provide inspiration for more investigators and scholars who are inclined to further explore the different dimensions of social network exhaustion by utilizing other variables.

Although social network exhaustion and its adverse consequences have become prevalent, relatively few empirical studies have addressed the deleterious effects of social network exhaustion on mobile social media users’ psychosocial well-being and mental health during the prolonged COVID-19. These findings have important theoretical and practical implications for the rational development and construction of mobile social technologies to cultivate proper health awareness and mindset during the ongoing worldwide COVID-19 epidemic.

The purpose of this paper is to focus on understanding how social influence and personality of individuals differentiate between users’ social network fatigue and discontinuance behavior. Furthermore, the most common discontinuance behavior among users was investigated.

The research model was tested with the data from 163 Instagram users based on online and offline surveys. The partial least squares method was used to test the proposed hypotheses of this study.

The results indicate that social influence affects users’ discontinuance behavior and social network fatigue. Social network fatigue is greater in users with higher reported social influence compared to those with a lower one. Moreover, in response to social network fatigue, users prefer to keep their activities under control instead of switching to alternative social network sites (SNSs) or a short break in social network activities.

By achieving a better understanding of users’ feeling and behaviors, social network providers may codify their strategies more efficiently.

The study is novel in exploring users’ SNS fatigue and their discontinuance behavior by integrating social influence and personality. The authors defined a new concept of effect of social influence on social network fatigue. Additionally, the authors examined which discontinuance behaviors in individuals were more prevalent.