Too much Facebook? An exploratory examination of social media fatigue
Bibliographic Data
| ID | 19600563 |
|---|---|
| Authors | Laura F Bright (0000-0003-1908-1130, Texas Christian University, corresponding author), Susan Bardi Kleiser (Texas Christian University), Stacy Landreth Grau (0000-0002-7150-3583, Texas Christian University) |
| Year | 2014 |
| Volume | 44 |
| Pages | 148-155 |
| Publication date | 2014-12-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers in Human Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0747-5632 • E-ISSN: 1873-7692 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.chb.2014.11.048 |
| OpenAlex | W2080039693 |
| Language | EN |
| Citations received | 132 |
| References cited | 30 |
Social media usage levels continue to climb generating copious amounts of content. As more people crowd social media (e.g. Facebook), and create content, some research points to the existence of a concept called social media fatigue. Social media fatigue is defined as a user’s tendency to back away from social media participation when s/he becomes overwhelmed with information. Lang’s (2000) limited capacity model is used to understand the role of information overload for social media fatigue. This research examines the concept of social media fatigue and its proposed antecedents: social media efficacy, helpfulness, confidence and privacy concerns. Using confirmatory regression, this research determined that privacy concerns and confidence have the greatest predictive value for social media fatigue. This paper has theoretical implications for not only LCM but also other technology acceptance models such as TAM and UTAUT and UTAUT2. It also has implications for those trying to engage with online audiences and their subsequent reactions to that attempt at engagement. Several future research ideas are explored as well
Helpfulness · Internet privacy · Social media · World Wide Web · Computer Science · Impact of Technology on Adolescents · Psychology · Social Media and Politics · Social Psychology · Technology Adoption and User Behaviour
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Untangling the adverse effects of late-night usage of smartphone-based SNS among University students
Effects of social networking site overloads on discontinuous intentions of users
The moderating influence of SNS users’ attachment style on the associations between perceived information overload, SNS fatigue, and mental health
The effect of social media fatigue on compulsive buying
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Submitted for your approval
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Assessing the impact of persuasive features on user’s intention to continuous use
Social media self-withdrawal and its antecedents and outcomes
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Smartphone-based social networking sites and intention to quit
The influences of information overload and social overload on intention to switch in social media
Social media induced fear of missing out (FoMO) and phubbing
Factors mediating social media-induced fear of missing out (FoMO) and social media fatigue
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Social media users’ online subjective well-being and fatigue
Connected or exhausted? Deciphering potential influences of perceived overload and privacy invasion on poor academic achievement and subjective well-being among university students
Excessive enterprise social media usage and employee creativity
Breaking the boredom-fatigue cycle
Determinants of users' unverified information sharing on social media platforms
Time-shifting vs. appointment viewing
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Shadows of Deception
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Disentangling user fatigue in WeChat use
How social media fatigue feigning and altering emotion discourage the use of social media
SNS use reduction
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Defining Audio/Video Redundancy From a Limited- Capacity Information Processing Perspective
Media Multitasking Behavior
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
The stress potential of social media in the workplace
Predictors of Internet Use
Motivational, emotional, and behavioral correlates of fear of missing out
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The Limited Capacity Model of Mediated Message Processing
Attention, Resource Allocation, and Communication Research
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| Unique citing works | 132 |
|---|---|
| Citations per year | 2,36 |
| Citation span | 1970 - 2026 (57) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 130 |