Abstract

Keywords

۱٫ Introduction

۲٫ Theoretical background

۳٫ Research model and hypotheses development

۴٫ Methodology

۵٫ Data analysis and results

۶٫ Discussion

۷٫ Implications and limitation

۸٫ Conclusion

CRediT authorship contribution statement

Declaration of Competing Interest

Acknowledgements

Appendix A

Appendix B

Appendix C

References

Abstract

In social networking services (SNSs), users’ unclear understanding of the large and invisible audience increases the chances of online turbulence, which is a key source of SNS-induced stress. This growing phenomenon has gained increasing attention in academia and industry due to the undesirable consequences for users and SNS platforms. In this study, we draw from the transactional model of stress to examine how audience management strategies impact online turbulence and lead to neglected unintended audience concern and lurking. We also investigate the role of self-monitoring as a stress inhibitor. We test our model with data collected from 301 SNS users. The results show that the four types of audience management strategies have different effects on online turbulence, which significantly impacts neglected unintended audience concern especially when users have high self-monitoring skills. We believe that this work contributes, both from scientific and practical standpoints, to the understanding of the interventions and stressful responses of online turbulence in SNSs.

Introduction

The use of social networking services (SNSs) has received much attention in various disciplines, such as information systems, marketing, and public administration, among others. Many previous studies note that posting content in SNSs can benefit users as they build and maintain social relations and enhance social capital However, SNS users increasingly report negative experiences resulting from posting information