“Unfriend Me, Please!”: Social Media Fatigue and the Theory of Rational Choice

Logan, Kelty; Bright, Laura F.; Grau, Stacy Landreth

doi:10.1080/10696679.2018.1488219

Cited by 49 publications

(51 citation statements)

References 16 publications

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“…A review of the prior body of research on social media fatigue indicates that this phenomenon has gained scholarly attention only recently (Table I). From a platform perspective, most studies have concentrated on different aspects associated with fatigue and stress induced through the most notable online social media platforms, such as Facebook (Ravindran et al, 2014;Bright et al, 2015;Cramer et al, 2016;Dhir et al, 2019;Lee et al, 2019), Qzone (Zhang et al, 2016), and social media platforms in general (Logan et al, 2018;Lee et al, 2016;Pontes, 2017;Salo et al, 2017). In comparison, a handful number of studies have been conducted in the context of mobile instant messaging (MIM) apps (Shin and Shin, 2016;Sun et al, 2017;Xiao and Mou, 2019) Most of these studies have been carried out with participants in developed economies, including the USA (Bright et al, 2015;Cramer et al, 2016), South Korea (Lee et al, 2016;Shin and Shin, 2016;Lim and Choi, 2017), Portugal (Pontes, 2017) and Finland (Salo et al, 2017).…”

Section: Background Literature and Hypothesis Development 21 Social mentioning

confidence: 99%

Correlates of social media fatigue and academic performance decrement

Malik

Dhir

Kaur

et al. 2020

ITP

139

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PurposeThe current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.Design/methodology/approachTo 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).FindingsIntensity 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.Originality/valueThis 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.

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Section: Background Literature and Hypothesis Development 21 Social mentioning

confidence: 99%

Correlates of social media fatigue and academic performance decrement

Malik

Dhir

Kaur

et al. 2020

ITP

139

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show abstract

“…Bright and colleagues 17 , 23 defined SMF as a user’s tendency to retreat from social network engagement when they are overloaded with too much information. Other studies showed that SMF refers to suffering from mental 12 , 18 or emotional 16 , 24 exhaustion, and manifests itself in decreased interest in accessing to social platforms.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A growing body of literature qualifies anxiety as a negative outcome of social media fatigue as well. 18 , 32 , 33 Among other emotional components of SMF, boredom, 34 decline in interest, 34 irritation, 17 , 23 and frustration 23 are also mentioned.…”

Section: Literature Reviewmentioning

confidence: 99%

A Preliminary Validation of the Polish Version of the Social Media Fatigue Scale

Świątek¹,

Szczęśniak²,

Zhang³

et al. 2021

PRBM

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Background: As social media fatigue is a newly described phenomenon, we do not possess many tools to measure this concept. The main aim of the study was to establish a latent structure of the Social Media Fatigue Scale (SMFS) and to identify whether the Polish version is congruent with the Chinese version. The second aim was to examine whether the factor structure fits the data and yields a comparable goodness-of-fit index. The third aim was to consider the convergent validity of the SMFS and to verify whether tiredness and Internet addiction correlate positively. Methods: The research was conducted on a group of 331 (1st Study) and 379 (2nd Study) adolescents and young adults. It was performed using the SMFS and Internet Addiction Test (IAT). Results: The outcomes suggest that the three-factor structure is the optimal and reliable solution that corresponds to the original SMFS. CFA provided a good fit. All the dimensions of the SMFS correlated positively with Internet addiction. Conclusion:The Polish version of the SMFS presented satisfactory psychometric properties, showing many similarities with the original Chinese version of the SMFS. The findings confirm that excessive use of social media may lead to discomfort and negative emotions related to feeling overwhelmed by information, social interaction overload, and personal/ others' expectations.

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“…Market research studies corroborate these findings, with GlobalWebIndex (2018) reporting that Millennials are visiting social networks but not posting: 38% of Facebookers and 31% of Instagrammers say they logged in just to see what’s going on. Previous managerial studies have also concluded that younger, more mobile, brand-conscious consumers show higher levels of boredom regarding social media (Yazdanparast et al , 2015) and are beginning to experience notorious social media fatigue (Logan et al , 2018), leading to a decline in time spent on social media, brand exposure and active engagement. Given the current debate on SMBE effectiveness, namely among Millennials, further insights are needed.…”

Section: Social Media Brand Engagement Among Millennials: Fandom or Fad?mentioning

confidence: 99%

From fandom to fad: are millennials really engaged with and loyal to their loved brands on social media?

Fernandes

Inverneiro

2020

JPBM

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Purpose Exerting a peculiar fascination on both managers and academics, Millennials can be distinguished from other cohorts by their intense exposure to the internet and heavy use of social media, which, in turn, affect their identity formation, brand engagement, loyalty and purchase behaviour. Yet, uncertainties regarding online engagement and the real benefits brands can reap from Millennials’ avid use of social media remain. Therefore, by developing a holistic model of drivers and outcomes, this study aims to understand how Millennials engage with their most loved, self-expressive brands across social media platforms and its impact on loyalty-related intentions. Design/methodology/approach Data was gathered using a self-administered survey, answered by 343 millennial generation social media users and based on self-selected self-expressive, loved brands. Considering brand loyalty as a key outcome, a holistic model was developed and tested using partial least squares-structural equation modelling, emphasizing not only the role of social media engagement but also including brand love, experience and identification as direct and indirect antecedents. Findings Findings suggest a disconnection between online and offline brand relationships: though Millennials love and are very loyal to their favourite brands, they are not actively engaged in social media, which helps to explain the non-significant effect of engagement on brand loyalty. Moreover, together with brand identification, brand experience was found to play a major role in developing brand love, which, in turn, is positively related to engagement and loyalty. Originality/value Theoretically, this study contributes to bridging a gap in the literature, as research on engagement, its drivers and outcomes is scant and there is no robust evidence about its impact on brand loyalty, particularly among Millennials. Moreover, research on disengaged consumers who exhibit limited willingness to engage is still scant. Managerially, this study provides insights for brand managers wishing to successfully engage and build relationships with Millennials and to identify key routes to Millennials’ loyalty.

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“Unfriend Me, Please!”: Social Media Fatigue and the Theory of Rational Choice

Cited by 49 publications

References 16 publications

Correlates of social media fatigue and academic performance decrement

Correlates of social media fatigue and academic performance decrement

A Preliminary Validation of the Polish Version of the Social Media Fatigue Scale

From fandom to fad: are millennials really engaged with and loyal to their loved brands on social media?

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