Too much Facebook? An exploratory examination of social media fatigue
By L. Bright, Susan Bardi Kleiser, Stacy Landreth Grau. Computers in Human Behavior, 2015
513 citations recorded by the source corpus.
This research examines social media fatigue and its proposed antecedents.Respondents with greater confidence experienced less social media fatigue.Respondents with greater privacy concerns experienced more social media fatigue.Social media helpfulness and social media fatigue are positively related.Respondents with greater self-efficacy experienced greater social media fatigue. 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.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a28db3efbcce6cdfe8bed853e2fe2e50a96581d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Yao-bin Lu
- Amandeep Dhir
- Sufen Chen
- Ling Zhao
- Puneet Kaur
- Chang Sup Park
- Yossiri Yossatorn
- Zillur Rahman
In Information Systems and Management
- Amandeep Dhir
- Puneet Kaur
- Ling Zhao
- Yao-bin Lu
- Jun Yang
- Chang Sup Park
- Shuwei Zhang
- Nripendra P. Rana
In Sociology and Political Science
Citations in the corpus
- Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services (2016, background): “The content dimension refers to disappointment and frustration with posts on SNSs.”
- Social media induced fear of missing out (FoMO) and phubbing: Behavioural, relational and psychological outcomes (2022, unknown): “…untested in prior research to the best of our knowledge, receives support from studies that have utilised the LCM to examine the effects of the dark side of social media phenomena – e.g. FoMO and social media fatigue (Bright et al., 2015; Dhir et al., 2018) – on individuals ’ daily activities.”
- Does Too Much News on Social Media Discourage News Seeking? Mediating Role of News Efficacy Between Perceived News Overload and News Avoidance on Social Media (2019, background): “Audiences are awash in news on social media (Bright et al., 2015; Shearer, 2018).”
- Online social media fatigue and psychological wellbeing - A study of compulsive use, fear of missing out, fatigue, anxiety and depression (2018, background): “…theory of stress and coping (TTSC), in order to determine causal relationships and consequences in relation to social media fatigue (Blabst & Diefenbach, 2017; Bright et al., 2015; Lee, Chou et al., 2014; Lee, Son et al., 2016; Lim et al., 2017; Luqman et al., 2017; Zhang et al., 2016).”