Impression Management on Instagram and Unethical Behavior: The Role of Gender and Social Media Fatigue

Al-Shatti, Esraa; Ohana, Marc; Odou, Philippe; Zaitouni, Michel

doi:10.3390/ijerph19169808

Cited by 12 publications

(7 citation statements)

References 64 publications

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“…Our study found that the effect of public self-awareness between active social network use and green consumption was significant only for individuals with high impression management motivation. As SNS has become a significant venue for self-presentation ( Yang and Liu, 2017 ), previous studies have explored the antecedents and possible consequences of impression management on SNSs (e.g., Lee and Jang, 2019 ; Al-Shatti et al, 2022 ). This study extends the research on impression management in social networks by examining the moderating role of impression management motives in the relationship between public self-awareness motivated by active SNS use and green consumption.…”

Section: Discussionmentioning

confidence: 99%

How active social network site use affects green consumption: A moderated mediation model

et al. 2023

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A growing body of literature suggests a link between the usage of social networking sites (SNSs) and green consumption. However, researchers have shown that not all types of SNS usage have the same effect on individuals; therefore, to fully understand the relationship between a particular SNS use type and green consumption, as well as the mechanisms underlying the relationship, more research is required. This study examined a moderated mediation model based on self-awareness theory to explain the “how” and “why” of the relationship between active SNS use and green consumption. An offline survey (N = 210) and an online survey (N = 348) were conducted. The results suggest that active SNS use is positively associated with green consumption via public self-awareness and that impression management motives moderate the mediating role of public self-awareness in the relationship between active SNS use and green consumption. By examining the connection between a specific type of SNS use (active SNS use) and green consumption, our study adds to the body of literature on the causes of green consumption. The results have substantial implications for future research promoting socially responsible consumption behavior.

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Section: Discussionmentioning

confidence: 99%

How active social network site use affects green consumption: A moderated mediation model

et al. 2023

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“… 77 , 78 For example, it has been found that more problematic cell phone use is reported by females, 79–82 adolescents 83 and younger adults, 84 , 85 users with basic education, 79 people who spend increasing time on social networks, 81 , 84 and use many applications. 76 In terms of SMF, there are gender differences 85 , 86 which suggest that women tend to experience fatigue more than men. 87 There is also some evidence that there is a stronger effect of social media usefulness and SMF for young people between 28−37 years old compared to the other age groups.…”

Section: Methodsmentioning

confidence: 99%

Problematic Smartphone Use and Social Media Fatigue: The Mediating Role of Self-Control

Świątek¹,

Szczęśniak²,

Aleksandrowicz³

et al. 2023

PRBM

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Background Excessive social media consumption leads to addiction and affects mental health. It is a phenomenon that is difficult to avoid. Previous research on the effects of excessive Internet use shows that people who engage in social media (SM) without restraint experience over-involvement, over-disclosure, technostress, and social media fatigue (SMF). SMF, conceptualized as an emotional and cognitive feeling of being overwhelmed, manifests itself in mindless browsing of content, limiting the amount of time spent on SM, or quitting SM altogether. Self-control, although present in the technology addiction literature and psychology research, has been rarely described in relation to both excessive SM use and SMF. Therefore, the main goal of the present study was to verify whether there is a direct relationship between problematic smartphone use and SMF, and whether this association is mediated by self-control. Methods The study included 210 respondents ( M = 25.85, SD = 9.84) living in different Polish cities. The survey was conducted online, and the respondents consented to participate in the study. They completed the following measures: the Mobile Phone Problematic Use, the Self-Control Scale, the Social Media Fatigue Scale, and a brief questionnaire with socio-demographic data. Results Statistical analysis was performed to verify the relationship between problematic mobile phone use, level of self-control, and SMF. The outcomes indicate that there are significant interrelationships between the three studied variables. The association between problematic smartphone use and SMF is mediated by self-control. Conclusion A lack of impulse-inhibition skills, such as compulsive checking of notifications, can be a significant factor in SM exhaustion, fatigue, or frustration. SMF can also be understood as a natural defensive response, triggered in situations where individuals are overwhelmed, when the self-control is insufficient to stop the compulsion to use SM, and the use of a smartphone for this purpose is excessively engaging.

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“…When the effects of user-related elements are considered, mobile apps exert a greater influence on users’ privacy and private information than their abilities to manage them [ 43 , 44 ]. Furthermore, users’ emotional management may become unsteady if their privacy is repeatedly violated [ 55 ]. The SSO paradigm posits that emotional fatigue is more likely to emerge in situations when one experiences a loss of possible resources, an inability to satisfy media demands, or an expectation of threats to the present resources [ 32 ].…”

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

Unpacking the Potential Influence of Life Satisfaction on Network Heterogeneity, Emotional Exhaustion and Mobile App Fatigue: A Stressor–Strain–Outcome Approach

Pang

Shao

2023

IJERPH

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The ramifications of mobile apps’ detrimental aspect on users’ life satisfaction have garnered increased attention from academics. To probe the underlying association between life satisfaction and mobile app fatigue, this article builds a research model based on a stressor–strain–outcome approach. In addition, the study investigates the relationships between different dimensions of network heterogeneity, emotional exhaustion, and mobile app fatigue among users. Furthermore, the study uncovers the moderating influence of upward comparison, self-presentation, and privacy invasion on the association between life satisfaction and emotional exhaustion in the mobile app context. The study collected data in mainland China using a cross-sectional approach and analyzed the data using structural equation modeling. The findings demonstrate that life satisfaction is positively associated with self-presentation and negatively associated with upward comparison. Moreover, privacy invasion and upward comparison are positively correlated with emotional exhaustion, whilst self-presentation exerts no correlation with emotional exhaustion. Furthermore, upward comparison could mediate the association between life satisfaction and emotional exhaustion. The results provide fresh light on the mechanisms through which the life satisfaction of mobile app users and network heterogeneity might lead to emotional exhaustion and mobile app fatigue, highlighting important theoretical and practical implications.

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Impression Management on Instagram and Unethical Behavior: The Role of Gender and Social Media Fatigue

Cited by 12 publications

References 64 publications

How active social network site use affects green consumption: A moderated mediation model

How active social network site use affects green consumption: A moderated mediation model

Problematic Smartphone Use and Social Media Fatigue: The Mediating Role of Self-Control

Unpacking the Potential Influence of Life Satisfaction on Network Heterogeneity, Emotional Exhaustion and Mobile App Fatigue: A Stressor–Strain–Outcome Approach

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