Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use

The relationship between family functioning and social media addiction among university students: a moderated mediation model of depressive symptoms and peer support

BACKGROUND

Social media addiction (SMA) is an increasing problem, especially among young adults. Little is known about university students' SMA and family functioning. This study aimed to explore the mediating effect of depressive symptoms and the moderating effect of peer support in the relationship between family functioning and SMA among young adults.

METHODS

A sample of 1862 Chinese university students completed an online survey including the Bergen Social Media Addiction Scale (BSMAS), Family APGAR, the Patient Health Questionnaire (PHQ-9), peer support, and demographic characteristics. Hierarchical regression and moderated mediation analysis were used to test the effects and pathways among them.

RESULTS

Of the 1840 participants, 30.11% experienced SMA, 38.80% had family dysfunction and 15.98% had depressive symptoms. Hierarchical multiple regression showed better family functioning significantly predicted less SMA (β = -0.26, p < 0.001) and lower depressive symptoms (β = -0.58, p < 0.001), after adjusting for covariates. Mediation analysis verified that depressive symptoms mediated the effect of family functioning on SMA (indirect effect = -0.22, 95%CI[-0.28, -0.17]). Furthermore, the interaction of family functioning and peer support was negatively related to depressive symptoms (β= -0.03, 95% CI[-0.05, -0.01]) and the interaction of depressive symptoms and peer support was positively related to SMA (β = 0.01, 95%CI[0.004, 0.02]). Additional analysis further confirmed that peer support decreased depressive symptoms among young adults from dysfunctional families, and increased SMA behaviors in individuals with depressive symptoms.

CONCLUSION

Better family functioning and lower depressive symptoms may contribute to less social media addiction among Chinese university students. Peer support could moderate the mediating role of depressive symptoms on social media addiction in individuals with family dysfunction.

Examining how gamers connect with their avatars to assess their anxiety: A novel artificial intelligence approach

Research has supported that a gamer's attachment to their avatar can offer significant insights about their mental health, including anxiety. To assess this hypothesis, longitudinal data from 565 adult and adolescent participants (Mage = 29.3 years, SD = 10.6) was analyzed at two points, six months apart. Respondents were assessed using the User-Avatar Bond (UAB) scale and the Depression Anxiety Stress Scale (DASS) to measure their connection with their avatar and their risk for anxiety. The records were processed using both untuned and tuned artificial intelligence [AI] classifiers to evaluate present and future anxiety. The findings indicated that AI models are capable of accurately and autonomously discerning cases of anxiety risk based on the gamers' self-reported UAB, age, and duration of gaming, both at present and after six months. Notably, random forest algorithms surpassed other AI models in effectiveness, with avatar compensation emerging as the most significant factor in model training for prospective anxiety. The implications for assessment, prevention, and clinical practice are discussed.

Translating the user-avatar bond into depression risk: A preliminary machine learning study

Research has shown a link between depression risk and how gamers form relationships with their in-game figure of representation, called avatar. This is reinforced by literature supporting that a gamer's connection to their avatar may provide broader insight into their mental health. Therefore, it has been argued that if properly examined, the bond between a person and their avatar may reveal information about their current or potential struggles with depression offline. To examine whether the connection with an individuals' avatars may reveal their risk for depression, longitudinal data from 565 adults/adolescents (Mage = 29.3 years, SD = 10.6) were evaluated twice (six months apart). Participants completed the User-Avatar-Bond [UAB] scale and Depression Anxiety Stress Scale to measure avatar bond and depression risk. A series of tuned and untuned artificial intelligence [AI] classifiers analyzed their responses concurrently and prospectively. This allowed the examination of whether user-avatar bond can provide cross-sectional and predictive information about depression risk. Findings revealed that AI models can learn to accurately and automatically identify depression risk cases, based on gamers' reported UAB, age, and length of gaming involvement, both at present and six months later. In particular, random forests outperformed all other AIs, while avatar immersion was shown to be the strongest training predictor. Study outcomes demonstrate that UAB can be translated into accurate, concurrent, and future, depression risk predictions via trained AI classifiers. Assessment, prevention, and practice implications are discussed in the light of these results.

Motives for using social networking sites: a uses & gratifications perspective amongst people with eating disorder symptoms

Studies investigating motives for social networking sites (SNS) use amongst people with eating disorder (ED) symptoms are scarce. The uses and gratifications theory states that people actively select media content to gratify their individual needs and this may help to explain why individuals with eating disorder symptoms choose to expose themselves to specific media content and how they choose to respond. Some evidence exists that readiness to change may be a factor related to SNS use patterns in this population. The aim of the present study was to investigate the potential relationship between readiness to change ED cognitions/behaviors and SNS use motives in individuals with current or past ED symptoms, employing a uses and gratifications theory perspective. Participants were recruited from ED recovery websites; 103 individuals (16-55 years old) provided complete data. As hypothesized, ED symptom severity was inversely associated with readiness to change and time spent on (specific) SNS was not associated with ED symptom severity. The results of hierarchical regression analyses further suggested that if individuals felt less capable of overcoming their dysfunctional cognitions/behaviors about their body/eating (i.e., were less ready to change), they were more likely to be motivated to use SNSs for the purpose of impressing others and reputation management. The clinical implication is that high amounts of SNS use may not necessarily be harmful for people with EDs or recovering from EDs, whereas using SNSs for the purposes of impression management could potentially be related to being less ready to recover.

Development and Psychometric Properties of the Social Network Site Use Motives Scale-Revised

Background

Social network site use motives have been reported to be important in understanding the causes of Social Network Site addiction. The purpose of this study was to supplement the weaknesses of the Social Network Site Use Motives Scale with a 6-factor structure and to examine the psychometric properties of the Social Network Site Use Motives Scale-Revised with an 8-factor structure.

Methods

Exploratory structural equation modeling and confirmatory factor analysis were used to investigate the factor structure of the Social Network Site Use Motives Scale-Revised. A Korean adult sample (n = 661, nfemale = 464, age: 27.45 ± 8.66) filled out the Social Network Site Use Motives Scale-Revised.

Results

Results showed that an 8-factor model with exploratory structural equation modeling showed a better fit than the other models. Indices of internal consistency reliability of the Social Network Site Use Motives Scale-Revised were good. Also, the scale exhibited statistically significant positive correlations with social network site addiction scores, which showed adequate criterion validity. In addition, the expression motives and the concealment motives showed incremental validity of the Social Network Site Use Motives Scale-Revised by having a statistically significant relationship with social network site addiction even when controlling for the other 6 motives.

Conclusion

The Social Network Site Use Motives Scale-Revised, consisting of the 8 dimensions tapping information, enhancement, social, coping, pastime, conformity, expression, and concealment motives, is a reliable and valid scale to measure social network site use motives.

A Four-Item Questionnaire to Measure Problematic Social Media Use: The Social Media Disorder Test

While the use of video games and social media is an enjoyable recreational activity for most users, a minority develop problematic patterns of use. In the ICD-11, for the first time, there is a category of "disorders due to addictive behaviors" (including gaming disorder). The scientific literature also suggests a potential for the problematic use of social media. Economic screening tools for this are still needed. A very economical questionnaire to record gaming disorder is the ICD-11-based Gaming Disorder Test (GDT). The purpose of the present survey was to investigate the psychometric properties of an adapted questionnaire (Social Media Disorder Test, SMDT) to assess problematic social media use (PSMU). Therefore, 443 youths (mean age: 20.11 years) were examined with the SMDT and other measures regarding PSMU, self-control, and psychopathology. A confirmatory factor analysis (CFA) and reliability and correlation analyses were conducted. For the SMDT, we observed very good fit indices in the CFA, suggesting a one-factor structure; the reliability coefficient was 0.90, and we found the first indications for criterion validity. If the results can be confirmed, the SMDT, with its four questions, would be a very economical instrument to measure PSMU based on the ICD-11 criteria for behavioral addictions.

Associations between social media addiction, psychological distress, and food addiction among Taiwanese university students

BACKGROUND

Worldwide, 60% of people use social media. Excessive and/or addictive use of social media termed "problematic social media use", has been reported to negatively influence psychological and physiological health. Therefore, we proposed an illustrated model to investigate the associations between social media addiction, psychological distress and food addiction among Taiwanese university students.

METHODS

A total of 598 participants (mean age = 22.8 years) completed an online survey comprising the Bergen Social Media Addiction Scale (BSMAS) assessing social media addiction, the Depression Anxiety and Stress Scale (DASS-21) assessing psychological distress, and the Yale Food Addiction Scale 2.0 (YFAS 2.0) assessing food addiction.

RESULTS

Structural equation modeling showed the significant associations between BSMAS and DASS-21 (standardized coefficient [β] = 0.45; p < 0.01) and between DASS-21 and YFAS 2.0 (β = 0.43; p < 0.01). In addition, mediation effect with 100 bootstrapping samples showed the indirect effect of DASS-21 in the association between BSMAS and YFAS 2.0 CONCLUSIONS: The present study details the relationships between social media addiction and psychological distress as well as food addiction. The results suggest the need for interventions aimed at reducing these negative outcomes. Coping strategies for improving self-control or reducing weight-related stigma, such as food consumption monitoring or mindfulness, could be adopted for at-risk individuals to address these problems.

The Moderator Effect of Subthreshold Autistic Traits on the Relationship between Quality of Life and Internet Addiction

People with sub-threshold autistic traits (SATs) are more prone to develop addictive behaviors such the ones linked to Internet abuse. The restrictions for anti-COVID-19 distancing measures encourage social isolation and, consequently, increase screen time, which may lead to Internet addiction (IA). However, a better quality of life (QoL) may have function as a protective factor against the development of IA. This study wanted to investigate the relation between SATs, QoL, and the overuse of the Internet in a group of 141 university students in the North of Italy. Participants completed a battery of tests. Results suggest that QoL is a predictive factor of IA and that the relationship between QoL and IA is significantly moderated by SATs. This could mean that SATs might represent a risk factor for IA, even when people have a better quality of life. Differences between female and male students are discussed, as well as possible implications for practice.

Associations between social media use and loneliness in a cross-national population: do motives for social media use matter?

BACKGROUND

We aimed to examine the association between social media use and loneliness two years after the COVID-19 pandemic outbreak.

METHODS

Participants were 1649 adults who completed a cross-sectional online survey disseminated openly in Norway, United Kingdom, USA, and Australia between November 2021 and January 2022. Linear regressions examined time spent on social media and participants' characteristics on loneliness, and interactions by motives for social media use.

RESULTS

Participants who worried more about their health and were younger, not employed, and without a spouse or partner reported higher levels of loneliness compared to their counterparts. More time spent on social media was associated with more loneliness (β = 0.12, p < 0.001). Three profile groups emerged for social media use motives: 1) social media use motive ratings on avoiding difficult feelings higher or the same as for maintaining contact; 2) slightly higher ratings for maintaining contact; and 3) substantially higher ratings for maintaining contact. Time spent on social media was significant only in motive profile groups 2 and 3 (β = 0.12 and β = 0.14, both p < 0.01).

CONCLUSIONS

Our findings suggest that people who use social media for the motive of maintaining their relationships feel lonelier than those who spend the same amount of time on social media for other reasons. While social media may facilitate social contact to a degree, they may not facilitate the type of contact sought by those who use social media primarily for this reason.

Childhood emotional abuse and cyberbullying perpetration among Chinese university students: The chain mediating effects of self-esteem and problematic social media use

Childhood abuse has been shown to have a range of adverse physical and psychological consequences, including aggression and bullying. While researchers have explored the relationship between childhood abuse and cyberbullying, little is known about the impact of emotional abuse on cyberbullying. This study examined the link between childhood emotional abuse (CEA) and cyberbullying perpetration among university students in the Chinese cultural context, as well as the chain mediating effect of self-esteem and Problematic Social Media Use (PSMU). A total of 835 university students (18-25 years old; 293 males, 542 females; M _age = 19.44 years, SD = 1.28) completed the Childhood Trauma Questionnaire Short-Form (CTQ-SF), Rosenberg Self-Esteem Scale (RSES), the Social Media Use Questionnaire (SMUQ), and Cyberbullying Inventory (CBI). The results showed that CEA and PSMU were positively correlated with cyberbullying; self-esteem was negatively correlated with cyberbullying. Besides, self-esteem and PSMU sequentially mediated the relationship between CEA and cyberbullying perpetration. The findings indicate that childhood emotional abuse may lower self-esteem and cause problematic social media use, which increases cyberbullying perpetration.

Problematic use or addiction? A scoping review on conceptual and operational definitions of negative social networking sites use in adolescents

The aim of this study was to assess the conceptual and operational descriptions of negative social networking site (SNS) use in adolescents. A search was conducted among four databases, following the guidelines set forth in the PRISMA-ScR. The search resulted in 1503 articles, of which 112 met the inclusion criteria. The results showed that the negative use of SNS has been conceptualised from two approaches: (1) the component model of addiction and (2) a cognitive-behavioural problematic use paradigm. Thirty-seven instruments assessing this problem were found, with the Bergen Facebook Addiction Scale and its adaptations being the most widely used ones. These instruments dimensions were vaguely defined and often overlapped with one another. In conclusion, no standardised theoretical framework exists to assess negative SNS use in adolescents. This lack of a theoretical definition makes it difficult to compare results among studies and determine the true extent of the problem.

A mixed-methods study of problematic social media use, attention dysregulation, and social media use motives

Problematic social media use (PSMU) refers to excessive uncontrolled use of social media which impacts upon daily functioning (Blackwell et al., 2017). Self-regulation is central to the development and experience of PSMU, and conceptually interrelates with individual usage motivations (Reinecke et al., 2022). While there is a growing body of research on social media use motivations, how usage motivations and self-regulation combined influence PSMU is not well understood. There are also persistent questions around the effectiveness of addiction-based measures of PSMU. The quantitative component of this nested mixed-methods study (N = 607) employed hierarchical regression and structural equation modelling, principally identifying that impulsive social media usage mediates the pathway between perceived executive/attentional functioning and the Bergen Social Media Addiction Scale (BSMAS, Andreassen et al., 2012, 2016), a popular tool used to measure PSMU. In contrast, social-engagement motivations had a negative influence on the BSMAS. The qualitative component, comprising interview/open-ended questionnaire, explored individual experiences self-regulating social media use. Participants (N = 24) were recruited from the survey study, based on meeting screening criteria for executive dysfunction (Adult Self-Report ADHD Scale, Kessler et al., 2005), with sub-groups defined by top and bottom quartile BSMAS scores (evenly grouped). Thematic analysis found that most individuals with attention dysregulation, regardless of their BSMAS category, perceive self-regulation of social media use as highly challenging and effortful, describing broadly problematic relationship with social media. They also described rich combination of motivations and context of using social media, and strategies for managing use. This research questions the effectiveness of the BSMAS as a measure of general PSMU (lacking a formed self-regulation component), especially in individuals with attentional dysregulation. Future research investigating self-regulation strategies and focusing on characteristics of positive social media use is needed.

Mining Digital Traces of Facebook Activity for the Prediction of Individual Differences in Tendencies Toward Social Networks Use Disorder: A Machine Learning Approach

More than three billion users are currently on one of Meta's online platforms with Facebook being still their most prominent social media service. It is well known that Facebook has designed a highly immersive social media service with the aim to prolong online time of its users, as this results in more digital footprints to be studied and monetized (via psychological targeting). In this context, it is debated if social media platforms can elicit addictive behaviors. In the present work, we demonstrate in N = 1,094 users that it is possible to predict from digital footprints of the Facebook users their self-reported addictive tendencies toward social media (R > 0.30) by applying machine-learning strategies. More specifically, we analyzed the predictive power of a set of models based on different sets of features extracted from digital traces, namely posting activity, language use, and page Likes. To maximize the predictive power of the models, we used an ensemble of linear and non-linear prediction algorithms. This work showed also sufficient accuracy rates (AUC above 0.70) in distinguishing between disordered and non-disordered social media users. In sum, individual differences in tendencies toward "social networks use disorder" can be inferred from digital traces left on the social media platform Facebook. Please note that the present work is limited by its cross-sectional design.

Phubber’s Emotional Activations: The Association between PANAS and Phubbing Behavior

Currently, mobile phones are widely used worldwide. Thus, phubbing rapidly became a common phenomenon in our social life. Phubbing is considered by the literature as a new form of technology-related addiction that may undermine interpersonal relationships and mental health. Our study contributed to exploring phubbers’ emotional activation as no other work has investigated it so far. Indeed, researchers have only explored phubbees’ but not phubbers’ emotional correlates. A sample of 419 Italian individuals (143 males) participated in our data collection on a voluntary basis. The results showed that phubbing is related to negative affects, but not to positive affects. Moreover, phubbing in both its components (i.e., communication disturbance, phone obsession) appeared to elicit an emotional activation similar to that of social media addiction. These findings may help in strengthening the discussion around the emotional consequences of virtual environment design, as well as the awareness about what happens at a relational level during phubbing.

Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg

Social media use has increased substantially over the past decades, especially among adolescents. A proportion of adolescents develop a pattern of problematic social media use (PSMU). Predictors of PSMU are insufficiently understood and researched. This study aims to investigate predictors of PSMU in a nationally representative sample of adolescents in Luxembourg. Data from the Health Behavior in School-aged Children (HBSC) study in Luxembourg were used, in which 8687 students aged 11–18 years old participated. The data were analyzed using hierarchical multiple regression. A range of sociodemographic, social support, well-being and media use predictors were added to the model in four blocks. The predictors in the final model explained 22.3% of the variance in PSMU. The block of sociodemographic predictors explained the lowest proportion of variance in PSMU compared with the other blocks. Age negatively predicted PSMU. Of the predictors related to social support, cyberbullying perpetration was the strongest predictor of PSMU. Perceived stress and psychosomatic complaints positively predicted PSMU. The intensity of electronic media communication and preference for online social interaction were stronger predictors of PSMU than the other predictors in the model. The results indicate that prevention efforts need to consider the diverse range of predictors related to PSMU.

The Overlap Between Problematic Smartphone Use and Problematic Social Media Use: a Systematic Review

Purpose of Review

Over the last decade, problematic smartphone use (PSU) and problematic social media use (PSMU) have emerged as new potential problematic behaviours. Several studies have suggested that smartphones are predominantly used for social purposes (i.e., using messaging apps and social networking sites). The aim of the current article is to provide a systematic review of the extant literature that has explicitly analysed the association between PSU and PSMU in order to examine study characteristics in terms of samples analysed and effect sizes of the associations reported. This systematic review is based on the ongoing debate about whether the smartphone can be considered as the medium of one or more problematic activities, including PSMU.

Recent Findings

Existing evidence suggests that the effect sizes of the associations between PSU and PSMU are medium to large and large across the 13 studies included, with the largest correlations observed between PSU and problematic WhatsApp use or general PSMU. Overall, reviewed results suggest a partial overlap between the two problematic behaviours.

Summary

PSU and PSMU are overlapped mostly because the smartphone is a common medium to use social media, especially concerning instant messaging apps like WhatsApp. Moreover, PSU should be preferentially studied with a focus on specific types of apps used rather than a more holistic phenomenon.

Impression Management and Career Related Outcomes: A Systematic Literature Review

Despite the popularity of the term impression management (IM) in the literature, there is no consensus as how different types of IM (direct vs. indirect) and modes of interaction (face-to-face vs. online) promote career-related outcomes. While most empirical studies focus on direct IM, individuals engage in both types of IM and interaction modes, particularly indirect IM in the online context. Indeed, recent developments suggest that online interactions now prevail over face-to-face interactions, especially during the COVID-19 pandemic. Accordingly, this study presents the first systematic literature review that differentiates between types of IM (direct vs. indirect) and modes of interaction (face-to-face vs. online) in a career development perspective. The review shows that direct IM is more widely studied in the face-to-face than online interaction mode, while indirect IM is neglected in both interaction modes. This study thus provides evidence of the need to investigate and differentiate between the different types of IM and interaction modes for career-related outcomes, highlighting some research gaps and directions for future inquiry.

What Explains the Association between Usage of Social Networking Sites (SNS) and Depression Symptoms? The Mediating Roles of Self-Esteem and Fear of Missing Out

The goal of the study was to understand the mechanisms of how social networking sites (SNS) usage is related to depression symptoms, as measured by the Center for Epidemiological Studies-Depression Scale (CESD). Three studies were conducted to examine the mediation roles of self-esteem and Fear of Missing Out (FoMO). In Study 1, among 347 Chinese college students, time spent on SNS was negatively associated with self-esteem; while self-esteem then negatively associated with depression symptoms. In Study 2, among 180 Chinese college students, time spent on SNS was positively related to FoMO; while FoMO then positively related to depression symptoms. In Study 3, among 233 Chinese university students, both self-esteem and FoMO were simultaneously included in the mediation model to test their respective roles in explaining depression symptoms. Results showed that more time spent on SNS was related to lower self-esteem, and higher FoMO, respectively; while self-esteem then negatively, and FoMO then positively, explained depression symptoms, respectively. In addition, when participants spent 3.5 h (Study 1), 2.5 h (Study 2), and 2.54 h (Study 3) on SNS, they reached the cutoff for subthreshold depression, as measured by CESD. Combining results from three studies, both self-esteem and FoMO mediated the relation between SNS usage and depression symptoms. This study provides implications to understand the mechanism of SNS-related depression.

The Persian Version of the COVID-19 Phobia Scale (Persian-C19P-S) and the Differences in COVID-19-Related Phobic Reactions in Patients with Anxiety Disorders

Coronavirus disease 2019 (COVID-19) is a pandemic outbreak increasing several psychological distress, such as anxiety and phobia, and may affect patients with anxiety disorders. A scale has been recently designed to assess COVID-19-related phobic reactions named the COVID-19 Phobia Scale (C19P-S). The present study aimed to evaluate factor structure, reliability, and validity of the Persian version of the C19P-S (Persian-C19P-S) in patients with anxiety disorders and to compare COVID-19-related phobia among these patients. Three hundred patients with anxiety disorders completed the Persian-C19P-S and other scales assessing anxiety traits (e.g., the Short Health Anxiety Inventory (SHAI), the Health Concerns Questionnaire-54 (HCQ-54), and the Patient Health Questionnaire-4 (PHQ-4)) and COVID-19-related distress (e.g., the COVID Stress Scales (CSS) and the Fear of COVID-19 Scale (FCV-19)). The results showed that the Persian-C19P-S replicated the four-factor structure of the original C19P-S. Internal consistency and test-retest reliability coefficients evidenced the reliability of the scale. The validity of the scale (convergent and discriminant validity) was confirmed. Patients who had generalized anxiety and panic disorders showed higher phobic reactions related to COVID-19 than those with social anxiety disorder and specific phobia. This study indicates that the Persian version of the C19P-S is a valid scale to be used in Iranian patients with anxiety disorders to evaluate COVID-19-related phobia. Moreover, COVID-19-related phobic reactions are higher in some specific types of anxiety disorders.

On the Psychology of TikTok Use: A First Glimpse From Empirical Findings

TikTok (in Chinese: DouYin; formerly known as musical.ly) currently represents one of the most successful Chinese social media applications in the world. Since its founding in September 2016, TikTok has seen widespread distribution, in particular, attracting young users to engage in viewing, creating, and commenting on "LipSync-Videos" on the app. Despite its success in terms of user numbers, psychological studies aiming at an understanding of TikTok use are scarce. This narrative review provides a comprehensive overview on the small empirical literature available thus far. In particular, insights from uses and gratification theory in the realm of TikTok are highlighted, and we also discuss aspects of the TikTok platform design. Given the many unexplored research questions related to TikTok use, it is high time to strengthen research efforts to better understand TikTok use and whether certain aspects of its use result in detrimental behavioral effects. In light of user characteristics of the TikTok platform, this research is highly relevant because TikTok users are often adolescents and therefore from a group of potentially vulnerable individuals.