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Using WeChat moments as an example, this article explores the impact of user role conflict on privacy concerns, social media fatigue and the three dimensions of discontinuous usage intention: control activities, short breaks and suspend usage intentions. Moreover, the moderating function of self-esteem in this process is examined.

The conceptual model includes role conflict, privacy concerns, social media fatigue, discontinuous usage intention and self-esteem. Three hundred and thirty-one questionnaires were collected using an online survey, and the data were analyzed with structural equation and hierarchical regression modeling.

The results show that (1) role conflict positively affects privacy concerns and social media fatigue; (2) privacy concerns also positively affect social media fatigue; (3) privacy concerns positively affect control activities intentions, although their impact on short breaks and suspend usage intentions is not significant, whereas social media fatigue significantly influences control activities, short breaks and suspend usage intentions; and (4) self-esteem negatively moderates the influence of role conflict on privacy concerns.

A key limitation of this research is that it is designed for WeChat. Therefore, the question of whether other social media platforms face role conflict or discontinuous usage problems should be explored in the future.

The article is interesting in that it focuses on the discontinuous usage of social media and identifies factors that contribute to the discontinuous usage of social media. The findings make some theoretical contributions to, and have practical implications for, research into social media usage.

The increasing social media use has been widely recognized for its adverse effects, such as social media fatigue. With the continuously increasing friends on social media, the dissimilarity of individuals in terms of age, personality, and values has increased. It is unclear whether perceived dissimilarity with others is associated with social media fatigue. The authors attempted to bridge this gap by constructing a “perception–emotion–behavioral” research framework. This study investigated the influence of individual perceived dissimilarity on social media fatigue. The authors further investigated the mechanisms mediating the three dimensions of social anxiety in the model.

This study examined the mechanisms by which individual perceived dissimilarity influences social media fatigue, particularly using WeChat application. A field survey study conducted in China with 408 subjects of WeChat app users was used in this study to analyze the study model.

The obtained results demonstrate that individual perceived dissimilarity has a significant positive effect contributing to social media fatigue, perceived dissimilarity is positively correlated to social anxiety. Social anxiety positively affects social media fatigue, and social anxiety partially mediates the positive effect between perceived dissimilarity and social media fatigue.

First, the study confirmed the influence of perceived dissimilarity on social media fatigue, which may enrich the antecedent mechanisms of social media fatigue. Second, the authors demonstrated the social anxiety-mediated development of fatigue. The findings provide an in-depth understanding of users' fatigue. Third, the findings of this study provide valuable insights for preventing of social media fatigue.

Grounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction.

A quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM).

Perceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users.

The literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media.

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.

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.

Social media overload and fatigue have become common phenomena that are negatively affecting people's well-being and productivity. It is, therefore, important to understand the causes of social media overload and fatigue. One of the reasons why many people engage with social media is to avoid boredom. Thus, the purpose of this paper is to investigate how boredom proneness relates to social media overload and fatigue.

Building on the stress–strain–outcome framework, this paper tests a model hypothesizing the relationships between a social media user's boredom proneness, information and communication overload, and social media fatigue. The study tests the model by collecting data from 286 social media users.

The results suggest a strong association between boredom proneness and both information and communication overload, which, in turn, are strongly associated with social media fatigue. In addition, social media usage was found to amplify the effects of information overload on social media fatigue, but, unexpectedly, attenuates the effects of communication overload.

Prior research has largely overlooked the connection between boredom and problematic social media use. The present study addresses this important gap by developing and testing a research model relating boredom proneness to social media overload and fatigue.

The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.

To understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years).

Intensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance.

This study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.

This paper investigates the moderating role of multitasking computer self-efficacy on the relationship between social media affordances and social media overload as well as its moderation between social media overload and social media fatigue.

The authors hypothesize that social media affordances will have a positive impact on social media overload (i.e. information and communication overload). They also hypothesize that social media overload will affect social media fatigue. In addition, they hypothesize that multitasking computer self-efficacy will attenuate the effect of social media affordances on both information overload and communication overload. Similarly, they also hypothesize that multitasking computer self-efficacy will attenuate the effects of both information overload and communication overload on fatigue. The authors test this model by collecting two-wave data from 220 professionals using PLS techniques.

Social media affordances have significant impacts on information overload, but not on communication overload. In turn, information overload and communication overload significantly affect social media fatigue. Multitasking computer self-efficacy was found to attenuate the effect of social media affordances on both information overload and communication overload. Furthermore, the study results suggest that multitasking computer self-efficacy attenuates the effect of information overload and reinforces the effect of communication overload on social media fatigue.

Most prior literature focused on students rather than on professionals. There is a lack of research that investigates how the affordances of social media relate to social media overload and fatigue. Furthermore, research that investigates mitigating mechanisms of social media fatigue has been rare. This paper fills these important research gaps.

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.

Social media usage has become ubiquitous in our society – consumers are spending upwards of 20 percent of their media time on social sites interacting with friends, family and brands (Adler, 2016) and all of this usage is driving fatigue. The purpose of this paper is to examine how advertising factors such as attitude and intrusiveness impact social media fatigue as well as two consumer behavior factors, fear of missing out (FOMO) and privacy.

A 190-item questionnaire was developed and administered to an opt-in subject pool recruited for web-based research (i.e. online panel). A representative sample of 750 US social media users was recruited for the survey of which 518 respondents were valid and usable.

Results indicate that FOMO has the greatest impact on social media fatigue, not advertising factors as predicted. In addition, privacy concerns continue to plague consumers and should be monitored by advertisers.

With regard to limitation, the survey contained a variety of self-reported measures that can tend to be under-reported, especially when it comes to social media usage as evidenced in a recent study (Adler, 2016).

This research undertook an investigation of consumer perceptions of social media advertising and how those relate to social media fatigue and psychological factors such as privacy and FOMO. In looking at these constructs, a clearer picture of how consumer perceptions of advertising impact levels of social media fatigue has emerged. In addition, the results provide a better understanding of FOMO, a psychological factor that significantly contributes to social media fatigue.