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Family Harmony, Emotion Management Skills, Social Media Addiction, and Individual-social Responsibility: A Serial Mediation Model

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03 March 2025

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04 March 2025

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Abstract
Background: Despite the growing recognition of the importance of family harmony, individual-social responsibility, emotional management skills, and social media addiction in an individual's psychosocial functioning, a significant gap remains in the literature regarding the associations between these constructs within the context of Turkish young adults. This study aimed to investigate the mediating effects of emotional management skills and social media addiction on the relationship between family harmony and individual social responsibility among young Turkish adults. Methods: A cross-sectional study using an online survey recruited 854 participants (64.1% female) who completed the Individual–Social Responsibility Scale, the Family Harmony Scale, the Emotion Management Skills Scale, and the Bergen Social Media Addiction Scale. Results: The results showed that high family harmony, emotional management skills, and low social media addiction were related to higher levels of individual social responsibility in young adults. Emotional management skills and social media addiction had partial and serial mediating effects on the relationship between family harmony and individual social responsibility. Conclusions: Educating young adults about fostering familial harmony can contribute to their emotional regulation abilities, reduce their involvement in detrimental social media behaviors, and enhance their levels of individual and social responsibility.
Keywords: 
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Subject: 
Social Sciences  -   Psychology

Introduction

Humans are inherently social beings, deeply intertwined with the societies they inhabit. Despite having an independent inner world, they cannot exist separately from their community. Thus, there is a dynamic interaction between individuals and their social structures, where society influences individuals and impacts their surroundings (Cüceloğlu, 2002).
Studies have determined that family harmony affects many factors, including emotion management, addiction, and risky behaviors (Cheng et al., 2024; Karimi et al., 2024; Ünal et al., 2024). Additionally, it was observed that individuals with high emotion management skills have lower levels of social media addiction (Giordano et al., 2023; Peker & Yıldız, 2022). Furthermore, individuals with high family harmony exhibit better emotion management skills (Danisworo & Wangid, 2022; Fabrizio et al., 2015; Tetik & Akkaya, 2018), and individuals with high emotion management skills have lower social media addiction levels (Özer et al., 2023; Quaglieri et al., 2021).

Family Harmony and Individual-Social Responsibility

Hill and Hansen’s (1960) structural-functional theory emphasizes that society is a system composed of interdependent subsystems, with the family being one of the most crucial. Each subsystem has specific functions and interacts with others. For a family to function well, its members must align their roles and statuses and maintain consensus with other social institutions. This theory highlights the importance of family harmony and individual social responsibility. Research indicates that family harmony, which involves resolving individual problems within the family for the collective good, is essential for mental health and a healthy society (Kavikondala et al., 2016; Liu et al., 2020).
Systems Theory conceptualizes the family as a dynamic social system that adapts to challenges while seeking equilibrium to support the development of its members. Within this framework, family members assume various roles, such as providing support, affection, security, and a sense of belonging and preparing one another for broader social roles. By ensuring the efficient utilization of resources and energy, the family system strives to maintain homeostasis and balance, fostering the well-being of each member (Stuart & Laraia, 2004).
Strong families exhibit harmony through mutual responsibility, shared time, and the cultivation of affection and respect (Sugitanata, 2024). These qualities contribute to the development of strong relationships, enabling family members to collaborate effectively to achieve shared objectives and to resolve problems collectively. This cooperation not only strengthens the family as a unit but also fosters responsible behavior in the social lives of its members (Durgun, 2016).
According to the theory of social embeddedness, healthy and purposeful family interactions profoundly influence individual behaviors outside the family context. Positive and constructive family relationships enhance self-efficacy, a sense of responsibility, and social adaptability (Granovetter, 1985). This suggests that individuals from harmonious families are more likely to exhibit higher levels of self-assurance, responsibility, and effective social interaction within their communities.
Individual-social responsibility is defined as the behavior of individuals according to the values and norms of society. It emerges depending on the needs and expectations of society and its boundaries may change accordingly. Individual social responsibility is the face of individuals towards social life, and it refers to the understanding of the individual to take care of social benefits by considering all the situations of other members of society (Eraslan, 2011). Individual social responsibility requires a high level of consciousness. However, individual-social responsibility, a behavior displayed by individuals who want to improve society, is an awareness of volunteerism. Individual social responsibility refers to an awareness of various societal problems and their interest in solving them (Brookfield, 2013; Eraslan, 2011).
The family unit serves as a locus of harmony and emotional attachment within the personal milieu of each member, particularly concerning the formation of attitudes and daily behavioral patterns. The establishment and evolution of childhood personality within a conducive familial environment plays a crucial role in the development of an individual’s fundamental personality traits and personal identity (Torro et al., 2021).
Research has shown that the relationship between family harmony and individual social responsibility is complex and multi-dimensional. The family social capital plays an important role in the integration process with society (Martinelli et al., 2024). Supportive relationships within a family can strengthen individual social responsibility behaviors. Social policies such as income security strengthen family dynamics and positively affect individual social responsibility (Nishimura et al., 2024). Social norms play a significant role in shaping the roles and perceptions of individual family responsibilities. These norms establish expectations and standards that guide family interactions, thereby influencing members to contribute to the family unit. In turn, these internalized responsibilities foster behaviors that extend beyond the family, promoting individual social responsibility in broader societal contexts (Er, 2024). Family values are fundamental to the spiritual development of individuals and enhance their awareness of social responsibility (Khvostychenko & Trusei, 2025). These studies suggest that family harmony provides a strong foundation for the development of social responsibility. Supportive dynamics within a family may increase an individual’s sensitivity to social and community roles, thus leading to greater societal benefits.

The Mediating Effect of Emotion Management Skills and Social Media Addiction

Emotion management skills can be defined as self-awareness skills related to the emotions individuals have, at what times, and in what ways (Gross, 1998). Emotions under cognitive control are mental states that arise spontaneously and vary in duration and intensity (Scherer, 2005). Therefore, emotions can be experienced with very low or high intensity. The disharmony between individuals and their emotions can lead to many problems. In such disharmony situations, the inability of individuals to regulate or control their emotions may cause them to engage in risky behaviors (Rahbarian et al., 2017). In other words, the inadequacy or lack of emotion management skills causes various problems, and individuals can remain in difficult situations (Berking & Lukas, 2015). Additionally, emotion management skills affect individuals’ interactions and socio-emotional harmony. Enables individuals to establish empathic bonds with their social environment and to develop the skills necessary for social harmony (Eisenberg et al., 2007).
The healthy development of emotion management is related to family relationships (Gross & Thompson, 2007). Also, according to psychodynamic theory, the importance of early family experiences in the development of the individual’s self (Kohut, 1982), emotional, and psychological (Stern, 1985) has been emphasized. Many studies have shown that family harmony can affect emotional management skills. It has been determined that individuals living in families with high family harmony have higher emotion management skills (Akpınar, 2021; Suwendra, 2019). In addition, it has been shown that children’s emotion regulation skills are related to family structure (Karadeniz, 2022). Considering the effects of family harmony on individuals’ emotion management skills, as well as the effect of emotion management skills on individual social responsibility (Moradi & Parandin, 2020), and the effect of family harmony on individual social responsibility (Sugitanata, 2024), it can be thought that emotion regulation skills mediate the relationship between family harmony and individual social responsibility.
In this context, existing research highlights the significant relationships among family harmony, individual social responsibility, and emotional management. Therefore, the studies by Akpınar (2021), Suwendra (2019), Moradi and Parandin (2020), and Sugitanata (2024) provide evidence supporting the hypothesis that emotional management skills have a mediating effect on the relationship between family harmony and Individual-social responsibility can be said to form the basis of this hypothesis.
Brand et al. (2014) proposed a theoretical model of Internet addiction. This model suggests that individuals with Internet addiction exhibit symptoms, such as loss of control over Internet use and psychological dependency. Van den Eijnden et al. (2016) further categorized Internet addiction into two types: Internet gaming and social media addiction.
Social media addiction is defined as spending a lot of time on social media, having an intense desire to spend time on social media, showing symptoms of anxiety reactivity when unable to connect to social media, and spending so much time on social media, which damages individuals’ real-life activities, student/professional lives, social relationships, and mood (Griffiths et al., 2014).
Social media addiction has been linked to numerous adverse consequences, including cyberbullying, online harassment, and the inadvertent disclosure of personal information (Davies & Cranston, 2008). The unconscious and excessive use of social media exacerbates a wide range of psychological, social, and academic issues, leading to dysfunction in various areas of life (Dahl & Bergmark, 2020; Lee et al., 2012).
Research highlights a strong association between social media addiction and heightened levels of stress (Panicker & Sachdev, 2014), emotion regulation (Elkin et al., 2025), loneliness (Alsancak et al., 2022;Kılınçel & Muratdağı, 2021), and depression (Ivezaj et al., 2017). Moreover, it contributes to cognitive distortions in interpersonal relationships (Kalkan, 2012) and impairs self-control (Shirinkam et al., 2016). Social media addiction has also been linked to social phobia (Kılıç & Durat, 2017), personality traits (Isbulan et al., 2024), satisfaction family life (Taş, 2023) academic underperformance (Huang et al., 2009), and risky behaviors such as drug use (Rücker et al., 2015). Furthermore, excessive social media use disrupts sleep patterns, leading to sleep disorders (Kitazawa et al., 2018), and adversely affects family dynamics by causing the deterioration of familial relationships (Ang et al., 2012) and increased intra-familial conflicts (Sanders et al., 2000). These issues underscore the pervasive impact of social media addiction on both individual well-being and broader social systems. In addition, social media addiction is considered an important factor in the relationship between family harmony and individual social responsibility (El Mrassni et al., 2023; Hatamleh et al., 2024; Yıldırım, 2023). Within this framework, a significant relationship can be observed among family harmony, social responsibility, and social media addiction. Therefore, social media addiction was included in the model as a mediating variable in the relationship between family harmony and individual social responsibility.

Present Study

This study proposes a hypothetical model to understand the associations between emotion management, family harmony, social media addiction, and individual social responsibility. According to the psychodynamic theory, an individual’s first experiences (family life) form the basis of psychological and sociological problems that may arise in later life (Kernberg, 2016). Therefore, family dynamics play an important role in influencing individuals’ ability to cultivate healthy social connections. One indicator of healthy social relationships is the meaningful development of individual social responsibility structures. Therefore, based on these inferences, understanding the relationship between family harmony and individual social responsibility and the level of this relationship is considered important in the psychology literature. In order to test our hypothetical model, this study presents a holistic analysis by integrating familial and social aspects, such as family harmony and individual-social responsibility, with psychological variables, such as emotion management skills and social media addiction. The use of social media and time spent on these platforms represent prevalent contemporary concerns. Existing literature provides evidence supporting the association between social media addiction and various psychosocial challenges, including anxiety, depression, negative family experiences, and risky behaviors (Andreassen et al., 2016). However, to the best of our knowledge, no studies were found that simultaneously investigated family harmony, emotional management skills, social media addiction, and individual social responsibility. The determination of protective and risk factors against individual-social responsibility among young adults in Turkish culture is both important and valuable in terms of developing effective intervention strategies to promote the role of family harmony in individual-social responsibility. The present study aimed to fill some gaps in the literature by examining whether emotional management skills and social media addiction play serial mediating roles in the relationship between family harmony and individual-social responsibility in Turkish young adults. A serial mediation model was constructed shown in Figure 1. Based on the research aim, the following hypotheses were generated.
H1. 
Family harmony positively predicts individual social responsibility.
H2. 
Emotional management skills mediate the relationship between family harmony and individual social responsibility.
H3. 
Social media addiction mediates the relationship between family harmony and individual social responsibility.
H4. 
Emotion management skills and social media addiction have a serial mediating effect on the relationship between family harmony and individual social responsibility.

Method

Participants and Procedure

The study consisted of 854 participants (64% female; 35,9% male) aged between 18 and 30 years. Convenience sampling was used to collect data owing to constraints in time, budget, and resources. Data for this study were collected from undergraduate students in Turkey using an online survey prepared on Google Forms. A voluntary participation principle is applied during the dissemination of the measurement tools. To ensure the anonymity of the responses and maintain confidentiality participants were explicitly instructed on the first page of the online survey not to include any personal information in their responses within the scale batteries. All participants provided informed consent after a concise explanation of the study objectives and procedures. Approval for this study was obtained from the Ethics Committee of (Blinded) University.

Measures

Individual–Social Responsibility Scale (Li et al., 2008): The scale was developed to measure individual and social responsibility of individuals. The scale consists of 13 items clustered on a single factor and each item is answered using a 6-point Likert-type scale ranging from “Strongly Disagree (1) to “Strongly Agree (6). The scale did not include any reverse items. Scores on the scale ranged between 13 and 78, with higher scores indicating a greater level of responsibility. In this study, Cronbach’s alpha reliability coefficient was calculated to be .94. The scale was translated into Turkish by Filiz and Demirhan (2015), who provided good evidence of reliability and validity for the scale. In this study, Cronbach’s alpha reliability coefficient was .89. In addition, the CFA values were NFI = .965, TLI = .965, CFI = .977, and RMSEA =0.46.
Family Harmony Scale (Kavikondala et al., 2016): This self-reported scale includes 5 items constructed to assess family harmony. Each item on the scale is scored on a 5-point Likert-type scale ranging from 1 (strongly disagree) to 5 (strongly agree. There were no reverse-coded items in the scale. A total score is calculated by summing all the items on the scale. Possible scores range from 5 to 25, with higher scores indicating greater levels of family harmony. Cronbach’s alpha reliability coefficient was .91 in this study. The scale was validated in Turkish by Kula et al. (2018), who provided a single-factor structure with good model fit indices NFI = .998, TLI = .999, CFI = .999, and RMSEA =0.19.
Emotion Management Skills Scale (Berking et al., 2014): The scale was designed to assess emotional management skills, comprising a total of 28 items divided into eight positive and 20 negative items, organized into five sub-factors: ability to express emotions verbally, showing emotions as they are, ability to control unfavourable body reactions, ability to cope, anger management. To calculate the overall score, reverse coding is applied to negatively worded items, resulting in a total score ranging from 28 to 140. Higher scores indicate that the individual has adequate emotional management abilities. Validity model fit indices were also found: NFI: .870, TLI: .841, CFI: .854, RMSEA =0.10. In the present study, Cronbach’s alpha internal consistency reliability coefficient of the EMSS was good (.84).
Bergen Social Media Addiction Scale (Andreassen et al., 2016): The scale was developed to measure the six main characteristics of addiction including mood modification, salience, tolerance, conflict, withdrawal, and relapse. The scale includes six items grouped on a single factor and each item is rated on a 5-point Likert-type scale ranging from 1 (very rarely) to 5 (very often). A total score is computed by adding all the items on the scale with the higher score representing greater symptoms of social media addictions. The scale was adapted into Turkish by Demirci (2019) who provided excellent psychometric properties for the scale. The internal coherence reliability coefficient is .83. In this study, Cronbach’s alpha reliability coefficient was .80. Validity model fit indices were also found: NFI: .993, TLI: .996, CFI: .998, RMSEA =0.20.

Data Analysis

Before the main analysis, assumptions were required to perform the analyses before they were tested. Therefore, the kurtosis skewness values of the dataset were checked. Additionally, the correlations between variables were not high. Tolerance, variance inflation factor (VIF), and confidence interval (CI) values were examined to ensure that there was no multicollinearity problem. While the tolerance value should be less than .10, the VIF value should be less than 10, and the CI value should be between 10-30 (Albayrak, 2005). As a result, no multicollinearity problems were identified. The Mahalanobis distance values were conducted to detect outliers, revealing that data from 18 participants exhibited outlier values. These data were not included in the analysis, which was carried out on 854 data points. The PROCESS Macro was used to test the hypothesized structural mediational model, while the other analyses were conducted using SPSS. In addition, bootstrapping was performed to test the indirect and direct effects on the variables (Pandey et al., 2017; Pandey & Shrivastava, 2017). The statistical significance of direct and indirect effects in the model tested in the study was examined on 5,000 bootstrap samples. The predictions came to a 95% confidence interval.

Results

Preliminary Analyses

Table 1 presents the descriptive statistics, correlations, and reliability of the study variables. The FHS was positively associated with both İ-SRS (r = .42, p < .001) and EMS (r = .25, p < .001) and negatively associated with SMA (r = −.26, p < .001). I-SRS was negatively associated with both EMS (r = -.26, p < .001) and SMA (r =. -32, p < .001). EMS were negatively associated with SMA (r = -.45, p < .001).

Direct Effects

As seen in Table 2 and Figure 1, the results of the analysis revealed that FHS significantly predicted emotional management skills (B = .83, SE = 0.11, t = 7,5393, p < 0.01); SMA (B = -.21, SE = 0.04, t = -5,1466, p < 0.001) and I-SRS (B = .60, SE = 0.06, t = 10,6179, p < 0.001). Similarly, EMS significantly predicted SMA (B = -.16, SE = 0.12, t = -13,1980, p < 0.001) and I-SRS B = .13, SE = 0.02, t = 7,0547, p < 0.001). In addition, SMA significantly predicted I-SRS (B = -.18, SE = 0.05, t = -3,9807, p < 0.001).

Serial Multiple Mediational Effects

The results of the serial mediation analyses are presented in Table 3 and Figure 1. A direct effect of f family harmony was found on individual-social responsibility (total effect, β= .77, p < .001). When the mediators (emotional management skills and social media addiction) were included, the analysis results showed that this coefficient was still significant (direct effect, β = .60, p < .001]. Family harmony was also found to be a positive predictor of emotional management skills (β = . 24, p < .001), and a negative predictor of social media addiction (β = -.16, p < .05). According to the results hypothesis 1 was confirmed.
It was found a significant indirect effect of family harmony on Individual-social responsibility via emotional management skills (indirect effect = .11, SE = .02, 95% CI = [.07, .15]). Also, the indirect effect of family harmony on individual social responsibility via social media addiction was significant (indirect effect = .04, SE = .01, 95% CI = [.02, .06]). The results indicate that emotional management skills and social media addiction each have separate mediating effects on the relationship between family harmony and individual-social responsibility, confirming Hypotheses 2 and 3.
Lastly, the indirect effects of family harmony on individual social responsibility via both emotional management skills and social media addiction were tested. The relationship was significant with a point estimate of .02 (testing serial multiple mediations; SE = .03, 95% CI = .01, .04, p<.001). The results indicate that family harmony and individual-social responsibility are related through the serial mediating effects of emotional management skills and social media addiction, confirming Hypothesis 4.

Discussion

Family harmony the findings showed that family harmony significantly predicted individual-social responsibility. Thus, the first hypothesis of this study was confirmed. According to Flanagan et al. (1998), when parents guide their children and help them interpret and understand the world, they can impact individuals’ value orientations. Thus, individuals can establish a relationship between values found in different parts of the world and their values. It can be assumed that such a situation enables individuals to act with a sense of responsibility and positively affects family harmony. Individuals with an awareness of social responsibility prioritize the welfare of their families and others (Hoffmann-Lange, 1995). Furthermore, a strong parent-child relationship positively influences an individual’s sense of social responsibility (Winnicott, 1998). Authoritarian parental attitudes improve an individual-social responsibility. Parents with a high level of social responsibility argue that this is an important factor (Schmid, 2012). High family harmony and positive family interactions improve individuals’ social responsibility (Wray-Lake et al., 2016). Therefore, it can be assumed that there is a significant relationship between family harmony and individual-social responsibility. Family harmony facilitates the development of ethical and family responsibilities. In such cases, the individual acts with a sense of social responsibility towards both his/her family and other members of society. Rapprochement and positive interactions within a family further enhance this process (Lenzi et al. 2014).
According to Takala and Pallab (2000), individuals should avoid profit-oriented activities and behave responsibly toward their environment. Acting with the concern of obtaining tangible gains prevents individuals from exhibiting prosocial behaviours. In this context, it can be said that individuals with personal and social responsibility can easily adapt to the environment. Individual-social responsibility has a positive effect on an individual’s life (Mohr et al. 2001). Considering that high family harmony positively affects individuals’ individual-social responsibility levels (Wray-Lake et al., 2016; Winnicott, 1998), it can be said that the first hypothesis of the research provides results similar to those in the literature. This study found that emotion management skills mediate the relationship between family harmony and Individual-Social Responsibility, confirming the second hypothesis. Özmete (2010) noted that satisfaction with family life increases with the importance placed on family interactions, parental responsibilities, emotional well-being, and overall family quality of life. Children in democratic family environments better regulate their emotions and behaviors through self-control (Jabeen et al., 2013). A positive relationship exists between democratic parental attitudes and emotion management skills (Jabeen et al., 2013). Conversely, authoritarian family environments negatively impact children’s emotional regulation, leading to difficulties in anger control and increased aggression (McDowell et al., 2002; Moilanen, 2007; Lee et al., 2012; Chang et al., 2003; Eisenberg et al., 1999). Overall, emotion management skills thrive in democratic families and suffer in authoritarian ones (Atalay & Özyürek, 2021; Kars et al., 2019). In this context, parenting style and family harmony significantly impact individuals’ ability to regulate their emotions. While parents should guide their children’s behaviour and thinking, controlling, accusatory, and oppressive attitudes hinder children’s self-expression and emotional regulation, potentially leading to depressive symptoms (Pettit et al., 2001). Consistent findings from literature reviews and research provide robust evidence for a specific phenomenon or hypothesis.
Our results showed that social media addiction has a mediating effect on the relationship between family harmony and individual-social responsibility. Thus, the third hypothesis of this study was confirmed. It has been emphasized in the literature that there is a relationship between social media addiction and adolescent-parent life (Chang et al., 2015; Law et al., 2010; Liu et al., 2012). Studies have reported a positive correlation between family conflict and social media addiction. In addition, it emphasizes the relationship between communication within the family, problem-solving, sibling conflict, closeness to family hostility, freedom, injustice in the family environment, and social media addiction (Bilgin et al.,2020). According to a study conducted by Sally (2006), internet addiction contributes significantly to the deterioration of family relationships, stress, and conflicts within the family.
Social media addiction contributes to family conflict (France, 2000). Kırık (2014) notes that individuals who struggle to express themselves and feel lonely often use the Internet as an escape, leading to disconnection from the real world and increased Internet addiction. Parental control and strict monitoring can drive children to seek refuge online, potentially developing social media addiction (Ghasemzadeh & Ghasemzadeh, 2017). Demir (2016) found that social media addiction negatively impacts family relationships. Kraut et al. (1998) reported that increased Internet usage correlates with greater loneliness and weakened family bonds. Sanders et al. (2000) also observed that excessive Internet use reduces time spent with family and friends, harming these relationships. Hazar (2011) similarly concluded that social media addiction damages both friendships and family dynamics. The findings of this study align with these results.
The study found significant serial mediation effects of emotion management and social media addiction on family harmony and individual-social responsibility, confirming the fourth hypothesis. Negative aspects of emotion management, such as difficulties in emotional regulation and attachment styles like indifference and fearfulness, correlate with neuroticism and negative personality traits (Bilge & Sezgin, 2020). Parental conflicts and low maternal sensitivity negatively impact children’s emotional management skills, while supportive family environments facilitate emotional communication (Prinzie et al., 2009; Morris et al., 2007).
Social media exerts various effects on individuals and society, influencing relationships, communication, and psychological well-being. Its widespread reach through visuals like photos and videos enables rapid dissemination of information across society. However, responsible sharing is crucial due to potential harms like addiction, academic decline, reduced social interaction, and neglect of familial responsibilities (Kırık et al., 2015).
Individuals with social media addiction often have difficulty maintaining regular social connections, which affects their happiness (Madesha, 2021). Despite being addicted to social media and exhibiting behaviors that are not fully supported by society, individuals can show solidarity and sensitivity during crises (Yetzer et al., 2018).
Studies have shown that young people’s addiction to the internet, social media, smartphones, and computer games negatively affects their academic success, communication skills, and psychological well-being (Duygulu, 2018). Excessive social media use and communication technologies also strain family relations and contribute to intra-familial conflicts (Duygulu, 2018). Sağar and Özçelik (2022) highlighted emotional management and life satisfaction as crucial predictors of adolescent social media addiction, noting that individuals with poor emotional regulation often use the Internet to regulate their mood (Salek Ebrahimi et al., 2019).
Sağar (2021) argued that lower self-control correlates with higher social media addiction, a sentiment echoed by various studies emphasizing the link between ineffective emotion management strategies and social media addiction (Pontes et al., 2018; Zsido et al., 2021). Griffiths (1999) observed that initial Internet use to uplift mood can escalate into addiction over time, while Engelberg and Sjöberg (2004) concluded that social media addicts often experience loneliness and lack social and emotional skills.

Contribution

These factors—family harmony, emotional management, social media addiction, and individual social responsibility—interact in complex ways. Social media addiction has emerged as a significant issue in modern society. By examining its effects on emotional management skills and family harmony, we can gain a deeper understanding of its social impacts. This study not only supports theoretical research but also provides empirical evidence to guide field studies and applied research. Our findings suggest that high family harmony relates to better emotional management skills, lower social media addiction, and greater individual-social responsibility.

Limitations

This study has several limitations that should be considered. Firstly, its cross-sectional design prevents establishing causal relationships between the variables. Secondly, reliance on self-reported questionnaires may introduce response bias, potentially affecting the accuracy of reported levels on the measured variables. Lastly, the sample was drawn from a single city in Turkey, limiting the generalizability of the findings to broader populations. Future research should aim to replicate the hypothetical model in diverse samples across different cultures, considering that cultural contexts significantly influence psychosocial and familial dynamics. Moreover, future studies could benefit from expanding the model to include additional factors such as the impact of parental roles and social relationships on the development of family harmony and individual-social responsibility. This would provide a more comprehensive understanding of the factors influencing these dynamics.

Author Contributions

Conceptualization, M.E., S.P., S.M. and N.Ş.; methodology, M.E., S.P., S.M., N.Ş. and M.Y.; validation, M.E., S.P., S.M., N.Ş. and M.Y.; formal analysis, M.E., S.P., S.M., N.Ş., and M.Y.; investigation, M.E., S.P., S.M., N.Ş., and M.Y.; resources, M.E., S.P., S.M., N.Ş., and M.Y.; data curation, M.E., S.P. and M.Y.; writing—original draft preparation, M.E., S.P., S.M., N.Ş., and M.Y.; writing—review and editing, M.E., S.P., S.M., N.Ş., and M.Y.; visualization, M.E., S.P., S.M. and N.Ş.; supervision, M.E., S.P. and M.Y.; project administration, M.E., S.P., S.M., N.Ş.; funding acquisition, S.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted by the Declaration of Helsinki and approved by the Ethics Committee Ethics of the XXX University Scientific Research Ethics Committee (Date: 28.03.2023; Decision Number: E-95531838-050.99-67831).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

Authors declare no conflicts of interest.

References

  1. Akpınar, E. (2021). The effect of online learning on tertiary level students mental health during the COVID-19 lockdown. The European Journal of Social & Behavioural Sciences.
  2. Albayrak, A. S. Çoklu doğrusal bağlanti halinde enküçük kareler tekniğinin alternatifi yanli tahmin teknikleri ve bir uygulama. Uluslararası Yönetim İktisat ve İşletme Dergisi 2005, 1, 105–126. [Google Scholar]
  3. Alsancak, F. , Özpolat, A. O., Akyüz, İ., & Değirmenci, G. Social Media Addiction among Turkish University Students During the Pandemic: A Descriptive Study. Addicta: The Turkish Journal on Addictions 2022, 9, 75–73. [Google Scholar] [CrossRef]
  4. Andreassen, C.S. , Billieux, J., Griffiths, M.D., Kuss, D.J., Demetrovics, Z., Mazzoni, E., et al. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors 2016, 30, 252–262. [Google Scholar]
  5. Ang, R. P. , Chong, W. H., Chye, S., & Huan, V. S. Loneliness and generalized problematic Internet use: Parents’ perceived knowledge of adolescents’ online activities as a moderator. Computers in Human Behavior 2012, 28(4).
  6. Atalay, D., & Özyürek, A. Ergenlerde duygu düzenleme stratejileri ve ebeveyn tutumları arasındaki ilişkinin incelenmesi. Milli Eğitim Dergisi 2021, 50(230).
  7. Berking, M. , & Lukas, C. A. The Affect Regulation Training (ART): A transdiagnostic approach to the prevention and treatment of mental disorders. Current Opinion in Psychology 2015, 3, 64–69. [Google Scholar] [CrossRef]
  8. Berking, M. , Whitley, B., Berking, M., & Whitley, B. Development of the “Affect Regulation Training”(ART) Program. Affect Regulation Training: A Practitioners’ Manual 2014, 53-65.
  9. Bilge, Y., & Sezgin, E. Anne ve çocuk duygu düzenleme arasındaki ilişkide annenin kişilik özelliklerinin ve bağlanma stillerinin aracı rolü (Mediator role of mother’s personality traits and attachment styles in the relationship between mother and child emotion regulation). Anatolian Journal of Psychiatry/Anadolu Psikiyatri Dergisi 2020, 21(3).
  10. Bilgin, M., Şahin, İ., & Togay, A. Social media addiction in adolescents and parent-adolescent relationship. Education & Science/Egitim ve Bilim 2020, 45(202).
  11. Brand, M. , Young, K.S., Laier, C., Prefrontal control and internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Front. Hum. Neurosci. 2014, 8, 375. [Google Scholar] [CrossRef]
  12. Brookfield, S.D. (2013). Sorumluluk seviyeleri. Don Hellison (Ed). Fiziksel aktivite yoluyla bireysel ve sosyal sorumluluk öğretimi (ss. 31-45). Ankara: Nobel Yayıncılık.
  13. Chang, F. C., Chiu, C. H., Miao, N. F., Chen, P. H., Lee, C. M., Chiang, J. T., … Pan, Y. C. The relationship between parental mediation and internet addiction among adolescents, and the association with cyberbullying and depression. Comprehensive Psychiatry 2015, 57(1).
  14. Chang, L. , Dodge, A. K., Schwartz, D., & McBride-Chang, C. Harsh parenting in relation to child emotional regulation and aggression, Journal of Family Psychology 2003, 17, 598–606. [Google Scholar]
  15. Cheng, W. Y. , Cheung, R. Y. M., & Chung, K. K. H. The role of family conflict and cohesion in adolescents’ social responsibility: Emotion regulation ability as a mediator. PloS one 2024, 19, e0311265. [Google Scholar] [CrossRef]
  16. Cüceloğlu, D. (2002). Yeniden insan insana (27. basım). İstanbul: Remzi Kitabevi.
  17. Dahl, D. , & Bergmark, K.H. Persistence in problematic internet use a systematic review and meta-analysis. Frontiers in Sociology 2020, 5, 1–13. [Google Scholar] [CrossRef]
  18. Danisworo, D. L. , & Wangid, M. N. The influence of family harmony and emotional regulation ability on juvenile delinquency. European Journal of Education Studies 2022, 9, 24–39. [Google Scholar]
  19. Davies, T., & Cranston, P. (2008). Youth work and social networking: Interim report. Leicester: National Youth Agency.
  20. Demir, Ü. Sosyal medya kullanımı ve aile iletişimi: Çanakkale’de lise öğrencileri üzerine bir araştirma(Using social media and family communication: a study on the high school students in Çanakkale). Selçuk Üniversitesi İletişim Fakültesi Akademik Dergisi 2016, 9, 27–50. [Google Scholar]
  21. Demirci, İ. (2019) Bergen sosyal medya bağımlılığı ölçeğinin Türkçeye uyarlanması, depresyon ve anksiyete belirtileriyle ilişkisinin değerlendirilmesi (The adaptation of the Bergen social media addiction scale to Turkish and its evaluation of relationship with depression and anxiety symptoms). Anadolu Psikiyatri Dergisi, 20(Ek sayı 1),. [CrossRef]
  22. Durgun, A. Aile içi problemler ve çözüm önerileri. Mehir Aile Dergisi 2016, 3, 83–95. [Google Scholar]
  23. Duygulu, S. Yeni medya teknolojilerinin k-kuşağının ebeveynleri ile olan iletişimine etkisi (The new media technologies’ ımpacts of communication between K generations and parents). TRT Akademi 2018, 3, 632–652. [Google Scholar]
  24. Eisenberg, N. , Fabes, R. A., Shepard, S. A., Guthrie, I. K., Murphy, B. C., & Reiser, M. Parental reactions to children‟s negative emotions: longitudinal relations to quality of children‟s social functioning. Child Development 1999, 70, 513–534. [Google Scholar]
  25. Eisenberg, N. , Hofer, C., & Vaughan, J. (2007) Effortful control and its socio-emotional consequences. In: Gross, J., Ed., Handbook of Emotion Regulation (287-306). New York: Guilford.
  26. Elkin, N. , Mohammed Ashraf, A. K., Kılınçel, O., KılınçeL, Ş., Ranganathan, M., Sakarya, A. K., & Soydan, A. M. Screens and scars: SEM analysis of the relationship between childhood trauma, emotion regulation, and social media addiction. Frontiers in Psychology 2025, 16, 1502968. [Google Scholar] [CrossRef] [PubMed]
  27. El Mrassni, H. , Ciftci, D., & Isman, A. The Effects of Social Media on Social Responsibility: Facebook. Turkish Online Journal of Educational Technology-TOJET 2023, 22, 85–109. [Google Scholar]
  28. Engelberg, E. , & Sjoberg, L. (2004) Internet use, social skills and adjustment. ( 7, 41–47. [PubMed]
  29. Er, N. The Foundations of Social Cohesion: Théophile Funck-Brentano’s Theory of Social Morality. Van İlahiyat Dergisi 2024, 12, 161–179. [Google Scholar]
  30. Eraslan, L. Bireysel sosyal sorumluluk ölçeğinin (bss) geliştirilmesi: geçerlik ve güvenirlik çalışması (Development of ındividual social responsibility scale (IRS): validity and reliability study). Aile ve Toplum 2011, 7, 81–91. [Google Scholar]
  31. Fabrizio, C. S. , Lam, T. H., Hirschmann, M. R., Pang, I., Yu, N. X., Wang, X., & Stewart, S. M. Parental emotional management benefits family relationships: A randomized controlled trial in Hong Kong, China. Behaviour Research and Therapy 2015, 71, 115–124. [Google Scholar]
  32. Filiz, B. , & Demirhan, G. The adaptation study of personal and social responsibility questionnaire into Turkish Language. Spor Bilimleri Dergisi 2015, 26, 51–64. [Google Scholar]
  33. Flanagan, C. A. , Bowes, J. M., Jonsson, B., Csapo, B., & Sheblanova, E. Ties that bind: correlates of adolescents’ civic commitments in seven countries. Journal of Social Issues 1998, 54, 457–475. [Google Scholar]
  34. France, A. Towards a sociological understanding of youth and their risk-taking. Journal of Youth Studies 2000, 3, 317–331. [Google Scholar]
  35. Ghasemzadeh, L. , & Ghasemzadeh, P. The relationship between parental attitudes and adolescents’ internet addiction. International Journal of Adolescent Medicine and Health.
  36. Giordano, A. L. , Schmit, M. K., & McCall, J. Exploring adolescent social media and internet gaming addiction: The role of emotion regulation. Journal of Addictions & Offender Counseling 2023, 44, 69–80. [Google Scholar]
  37. Granovetter, M. Economic action and social structure: The problem of embeddedness. American Journal of Sociology 1985, 9, 481–510. [Google Scholar]
  38. Griffiths, M. Internet addiction: Fact or fiction? The Psychologist 1999, 12, 246–250. [Google Scholar]
  39. Griffiths, M. D., Kuss, D. J., & Demetrovics, Z. (2014). Social networking addiction: an overview of preliminary findings. In K. Rosenberg ve L. Feder (Eds.). Behavioral addictions: Criteria, evidence and treatment (119– 141). New York, N.Y: Elsevier.
  40. Gross, J. J. , & Thompson, R. A. (2007). Emotion Regulation: Conceptual Foundations. In J. J. Gross (Ed.), Handbook of Emotion Regulation. New York: The Guilford Press.
  41. Gross, J.J. The emerging field of emotion regulation: An integrative review. Review of General Psychology 1998, 2, 271–299. [Google Scholar] [CrossRef]
  42. Hatamleh, I. H. M. , Aissani, R., & Alduwairi, R. F. S. The Role of Social Media Motivation in Enhancing Social Responsibility. Social Sciences 2024, 13, 409. [Google Scholar] [CrossRef]
  43. Hazar, M. (2011) Sosyal medya bağımlılığı: bir alan çalışması(Social media dependency-filed survey). İletişim Kuram ve Araştırma Dergisi, 3, 158–159.
  44. Hill, R., & Hansen, D. (1960) The ıdentification of conceptual frameworks utilized in family study. Marriage and Family Living, 22, 299-311.
  45. Hoffmann-Lange, U. (Ed.). (1995). Jugend und demokratie in deutschland. DJI-Jugendsurvey 1 [Youth and democracy in Germany. Youth survey 1 of the German Youth Institute]. Opladen: Leske & Budrich.
  46. Huang, R.L. , Lu, Z., Liu, J.J., You, Y.M., Pan, Z.Q., Wei, Z., He, Q., & Wang, Z.Z. Features and predictors of problematic internet use in Chinese college students. Behaviour & Information Technology 2009, 28, 485–490. [Google Scholar] [CrossRef]
  47. I Wayan Suwendra, W. The Effect of Family Harmony and Peers Social Interaction on Emotional Maturity. Journal Option 2019, 30, 1454–1470. [Google Scholar]
  48. Isbulan, O. , Cam, E., & Griffiths, M. D. The mediating effect of social network identity management on the relationship between personality traits and social media addiction among pre-service teachers. BMC psychology 2024, 12, 146. [Google Scholar] [CrossRef]
  49. Ivezaj, V. , Potenza, M.N., Grilo, C.M., & White, M.A. An exploratory examination of atrisk/problematic internet use and disordered eating in adults. Addictive Behaviors 2017, 64, 301–307. [Google Scholar] [CrossRef] [PubMed]
  50. Jabeen, F. , & Anis-ul-Haque, M. Parenting styles as predictors of emotion regulation among adolescents. Pakistan Journal of Psychological Research 2013, 28, 85–105. [Google Scholar]
  51. Jabeen, F. , Anis-ul-Haque, M., & Riaz, M. N. Parenting styles as predictors of emotion regulation among adolescents. Pakistan Journal of Psychological Research.
  52. Kalkan, M. Predictiveness of interpersonal cognitive distortions on university students’ problematic internet use. Children and Youth Services Review 2012, 34, 1305–1308. [Google Scholar] [CrossRef]
  53. Karadeniz, E. (2022). Okul öncesi eğitim kurumuna devam eden 48-72 ay çocukların duygu düzenleme ile empati becerilerinin incelenmesi. Yayımlanmamış yüksek lisans tezi. Pamukkale Üniversitesi, Eğitim Bilimleri Enstitüsü, Denizli.
  54. Karimi, O. , Ghaziani, A. M., & Mokhtari, Z. Studying and Predicting High-risk Behaviors in Teenagers Based on Family Function and Cohesion. Indian Journal of Positive Psychology 2024, 15, 315–320. [Google Scholar]
  55. Kars, S. , Bektaş, Ö., & Akyürek, G. Ergenlerde anne-baba tutumu, duygu düzenleme ve iyilik hali arasındaki ilişkinin incelenmesi (An ınvestigation of the relationship between parental attitude, emotion regulation and wellness of adolescents). Ergoterapi ve Rehabilitasyon Dergisi 2019, 7, 97–104. [Google Scholar]
  56. Kavikondala, S. , Stewart, S. M., Ni, M. Y., Chan, B. H., Lee, P. H., Li, K. K.,... & Lam, W. W. Structure and validity of Family Harmony Scale: An instrument for measuring harmony. Psychological assessment 2016, 28, 307–318. [Google Scholar]
  57. Kernberg, O.F. (2016). What is Personality? Journal of Personality Disorder. 30,145–56.
  58. Khvostychenko, O. M., & Trusei, L. H. The Role of the Family in the System Of Spiritual and Intellectual Upbringing of the Personality. Spiritual and intellectual upbringing and teaching of youth in the XXI century, (7) 2025, 87-95.
  59. Kılıç, Z. , & Durat, G. Üniversite öğrencilerinde problemli internet kullanımının genel psikolojik belirtileri ve sosyal fobi ile ilişkisi. Sakarya Tıp Dergisi 2017, 7, 97–104. [Google Scholar]
  60. Kılınçel, S. , & Muratdağı, G. Evaluation of factors affecting social media addiction in adolescents during the COVID-19 pandemic. Ann Clin Anal Med. [CrossRef]
  61. Kırık, A. M., Arslan, A., Çetinkaya, A. ve Gül, M. A quantitative research on the level of social media addiction among young people in Turkey. International Journal of Science Culture And Sport (Intjscs) 2015, 3(3): 108-122.
  62. Kırık, M. A. Aile ve çocuk ilişkisinde internetin yeri: Nitel bir araştırma(Place of internet in family and child relationship: Qualitative research). Eğitim ve Öğretim Araştırmaları Dergisi 2014, 3, 337–347. [Google Scholar]
  63. Kitazawa, M. , Yoshimura, M., Murata, M., Sato-Fujimoto, Y., Hitokoto, H., Mimura, M., Tsubota, K., & Kishimoto, T. Associations between problematic Internet use and psychiatric symptoms among university students in Japan. Psychiatry and Clinical Neurosciences 2018, 72, 531–539. [Google Scholar] [CrossRef]
  64. Kohut, H. Introspection, empathy, and the semicircle of mental health. Internat. J. PsychoAnal. 1982, 63, 395–407. [Google Scholar]
  65. Kraut, R. , Patterson, M. , Landmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. Internet paradox: A social technology that reduces social ınvolvement and psychological well-being?, American Psychologist 1998, 53, 1017–1031. [Google Scholar]
  66. Law, D. M. , Shapka, J. D., & Olson, B. F. To control or not to control? Parenting behaviours and adolescent online aggression. Computers in Human Behavior 2010, 26, 1651–1656. [Google Scholar]
  67. Lee, E. H., Zhou. Q., Eisenberg, N., & Wang, Y. Bidirectional relations between temperament and parenting styles in Chinese children. International Journal of Behavioral Development 2012, 37, 57–67. [Google Scholar]
  68. Lee, Z. W., Cheung, C. M., & Thadani, D. R. (2012). An investigation into the problematic use of Facebook. Proceedings of the 45th Hawaii International Conference on System Sciences, Maui, HI, USA, 1768–1776.
  69. Lenzi, M. , Vieno, A., Santinello, M., Nation, M., & Voight, A. The role played by the family in shaping early and middle adolescent civic responsibility. The Journal of Early Adolescence 2014, 34, 251–278. [Google Scholar]
  70. Li, W. , Wright, P. M., Rukavina, P. B., & Pickering, M. Measuring students’ perceptions of personal and social responsibility and the relationship to intrinsic motivation in urban physical education. Journal of Teaching in Physical Education 2008, 27, 167–178. [Google Scholar] [CrossRef]
  71. Liu, H. , Liu, L., & Jin, X. The ımpact of parental remote migration and parent-child relation types on the psychological resilience of rural left-behind children in China. Int J Environ Res Public Health 2020, 17, 5388. [Google Scholar] [CrossRef]
  72. Liu, Q. X. , Fang, X. Y., Deng, L. Y., & Zhang, J. T. Parent-adolescent communication, parental Internet use and internet-specific norms and pathological internet use among Chinese adolescents. Computers in Human Behavior 2012, 28, 1269–1275. [Google Scholar]
  73. Madesha, A. The role of the social media in the social responsibility: sociological perspective. International Journal of Innovative Science, Engineering & Technology 2021, 8, 346–349. [Google Scholar]
  74. Martinelli, G. , Serpente, G., & Bolzani, D. (2024). Social Incubators and Accelerators for Migrant Entrepreneurs: Exploratory Insights From Italy. In Social Entrepreneurship and Migrants’ Inclusion: Insights from the Adriatic-Ionian Region (pp. 269–288). Cham: Springer Nature Switzerland.
  75. McDowell, D. J. , Kim, M., O‟neil, R., & Parke, R. D. Children’s emotion regulation and social competence in middle childhood. Marriage and Family Review 2002, 34, 345–364. [Google Scholar]
  76. Mohr, Lois A. , Webb, Deborah J., & Harris, Katherine E. Do consumers expect companies to be socially responsible? The impact of corporate social responsibility on buying behavior. Journal of Consumer Affairs 2001, 35, 45–72. [Google Scholar]
  77. Moilanen, K. L. The adolescent self-regulatory ınventory: the development and validation of a questionnaire of short-term and long-term selfregulation. Journal of Youth and Adolescence 2007, 36, 835–848. [Google Scholar] [CrossRef]
  78. Moradi, P., & Parandin, S. On the effectiveness of emotion regulation training on adolescents’ creativity and responsibility-taking in Kermanshah. Journal of Advanced Pharmacy Education and Research 2020, 10(4-2020), 91-96.
  79. Morris, A.S., Silk, J.S., Steinberg, L., Myers, S.S., & Robin-son, L.R. The role of the family context in the development of emotion regulation. Social Development 2007, 16(2): 361-388.
  80. Nishimura, H. M. , Snguon, S., Dean, L. T., & Moen, M. Baltimore community resident and collaborator perspectives on the influence of guaranteed income on health: a formative qualitative study. BMC Public Health 2024, 24, 2537. [Google Scholar]
  81. Özer, D. , Altun, Ö. Ş., & Avşar, G. Investigation of the relationship between internet addiction, communication skills and difficulties in emotion regulation in nursing students. Archives of Psychiatric Nursing 2023, 42, 18–24. [Google Scholar] [PubMed]
  82. Özmete, E. Aile yaşam kalitesi dinamikleri: aile iletişimi, ebeveyn sorumlulukları, duygusal, duygusal refah, fiziksel/materyal refahın algılanması (Familiy quality of life: perception of family interaction, parenting responsibility, emotional well-being and physical / materaial well-being). Uluslararası Sosyal Araştırmalar Dergisi 2010, 3, 455–465. [Google Scholar]
  83. Panicker, J. , & Sachdev, R. Relations among loneliness, depression, anxiety, stress and problematic internet use. International Journal of Research in Applied, Natural and Social Sciences 2014, 2, 1–10. [Google Scholar]
  84. Peker, A. , & Yıldız, M. N. Examining the Relationships Between Adolescents’ Emotion Regulation Levels and Social Media Addiction. Clinical and Experimental Health Sciences 2022, 12, 564–569. [Google Scholar]
  85. Pettit, G. S. , Laird, R. D., Bates, J. E., Dodge, K. A., & Criss, M. M. Antecedents and behavior-problem outcomes of parental monitoring and psychological control in early adolescence. Child Development 2001, 72, 583–598. [Google Scholar]
  86. Pontes, H.M.; Taylor, M. , & Stavropoulos, V. Beyond “Facebook Addiction”: The role of cognitive-related factors and psychiatric distress in social networking site addiction. Cyberpsychology, Behavior and Social Networking 2018, 21, 240–247. [Google Scholar] [CrossRef]
  87. Prinzie P, Stams GJ, Deković M, Reijntjes AHA,; Belsky J. The relation between parent personality and parenting: A meta-analytic review. J Pers Soc Psychol 2009, 97, 351–362. [Google Scholar] [CrossRef]
  88. Quaglieri, A. , Biondi, S., Roma, P., Varchetta, M., Fraschetti, A., Burrai, J.,... & Mari, E. From emotional (Dys) regulation to internet addiction: A mediation model of problematic social media use among Italian young adults. Journal of Clinical Medicine 2021, 11, 188. [Google Scholar] [PubMed]
  89. Rahbarian, M. , Mohammadi, A., Abasi, I., & Soleimani, M. Emotion regulation problems and addiction potential in Iranian students. Journal of Practice in Clinical Psychology 2017, 5, 235–242. [Google Scholar] [CrossRef]
  90. Rücker, J. , Akré, C., Berchtold, A., & Suris, J. C. Problematic internet use is associated with substance use in young adolescents. 2015, 104, 504–507. [Google Scholar] [CrossRef]
  91. Sağar, M. E. Predictive role of cognitive flexibility and self-control on social media addiction in university students. International Education Studies 2021, 14, 1–10. [Google Scholar] [CrossRef]
  92. Sağar, M. E. , & Özçelik, T. Ergenlerde duygu düzenleme ve yaşam doyumunun sosyal medya bağımlılığı üzerindeki yordayıcı rolü (The predictive role of emotion regulation and life satisfaction on social media addiction in adolescents). Kırıkkale Üniversitesi Sosyal Bilimler Dergisi 2022, 12, 493–511. [Google Scholar]
  93. Salek Ebrahimi, L. , Ahmadi, G., Masjedi Arani, A., & Mousavi, S.E. Predicting internet addiction in medical students by general self-efficacy, difficulty in emotion regulation and resilience. Journal of Practice in Clinical Psychology 2019, 7, 167–174. [Google Scholar] [CrossRef]
  94. Sally, L. P. M. (2006). Prediction of internet addiction for undergraduates in Hong Kong. Unpublished master’s thesis. Hong Kong Baptist University, Hong Kong.
  95. Sanders, C. E. , Field, T. M., Diego, M., & Kaplan, M. The relationship of internet use to depression and social isolation among adolescents. Adolescence 2000, 35, 237–242. [Google Scholar]
  96. Scherer, K. R. What are emotions? And how can they be measured? Social Science Information 2005, 44, 695–729. [Google Scholar]
  97. Schmid, C. The value “social responsibility” as a motivating factor for adolescents’ readiness to participate in different types of political actions, and its socialization in parent and peer contexts. Journal of Adolescence 2012, 35, 533–547. [Google Scholar]
  98. Shirinkam, M. S, Shahsavarani, A.M., Toroghi, L. M. Mahmoodabadi, M., Mohammadi, A., & Sattari, K. Internet addiction antecendants: Self-control as a predictor. International Journal of Medical Research & Health Sciences 2016, 5,143-151.
  99. Stern, D. Stern, D. (1985). The interpersonal world of the infant. New York: Basic Books: Psikoterapi Enstitüsü Eğitim Yayınları, 2012.
  100. Stuart, W.G., & Laraia, M.T. Principles and practice of psychiatric nursing (7th edition). St.Louis: Mosby.
  101. Sugitanata, A. (2024). Household Moderation as a Foundation for Building a Harmonic Family: An Integration of Murray Bowen’s Family Systems Theory and Maqashid Sharia. Bilancia: Jurnal Studi Ilmu Syariah Dan Hukum 2004, 18, 37–62. [Google Scholar]
  102. Takala, T. , & Pallab, P. Individual, collective and social responsibility of the firm. Business ethics: A european review 2000, 9, 109–118. [Google Scholar] [CrossRef]
  103. Taş, İ. The relationship between social ignore and social media addiction among adolescents: Mediator effect of satisfaction with family life. Youth & Society 2023, 55, 708–729. [Google Scholar] [CrossRef]
  104. Tetik, S. , & Akkaya, B. Üniversite gençlerinin duygu yönetimi becerileri üzerine bir araştırma. Sosyal Bilimler Araştırma Dergisi 2018, 7, 99–121. [Google Scholar]
  105. Torro, S.; Lasunra; Awaru, A. O. T.; Ahmad, M. R. S., & Arifin, Z. “A Comparative Study of ICT and Conventional Teaching Roles in Boat Class of Coastal Areas. Journal of Physics: Conference Series 2021, 1899, 12171. [Google Scholar]
  106. Ünal, N. , Şenol, B., & Tokgöz, B. The Effect of Smartphone Addiction on Communication Competence and Family Harmony among University Students. Muş Alparslan Üniversitesi Sağlık Bilimleri Dergisi 2024, 4, 1–10. [Google Scholar]
  107. Van den Eijnden, R. J. J. M. , Lemmens, J. S., & Valkenburg, P. M. The social media disorder scale. Computers in Human Behavior 2016, 61, 478–487. [Google Scholar] [CrossRef]
  108. Winnicott, D. W. (1998). Playing and Reality (Trans. T Birkan). Istanbul, Metis Publications,.
  109. Wray-Lake, L. , Syvertsen, A. K., & Flanagan, C. A. Developmental change in social responsibility during adolescence: An ecological perspective. Developmental Psychology 2016, 52, 130–142. [Google Scholar]
  110. Yetzer, A. M. , Pyszczynski, T., & Greenberg, J. (2018). A stairway to heaven: A terror management theory perspective on morality. In K. Gray, & J. Graham (Eds.), Atlas of Moral Psychology (241–251). NewYork, NY, USA: Guilford Press.
  111. Yıldırım, A. F. Sosyal ikilem perspektifinden: Bir başka açıdan sosyal medya. SSD Journal 2023, 8, 32–50. [Google Scholar]
  112. Zsido, A. N. , Arato, N., Lang, A., Labadi, B., Stecina, D., & B&i, S. A. The role of maladaptive cognitive emotion regulation strategies and social anxiety in problematic smartphone and social media use. Personality and Individual Differences 2021, 173, 110647. [Google Scholar] [CrossRef]
Table 1. Descriptive Statistics and Bivariate Correlations among Variables among The Total Sample (N = 854).
Table 1. Descriptive Statistics and Bivariate Correlations among Variables among The Total Sample (N = 854).
Variable 1. 2. 3. 4.
1. Family harmony -
2. Individual-social responsibility .42** -
3. Emotion management skills .25** .38** -
4. Social media addiction. -.26** -.32** -.45** -
Mean 19.62 65.74 89.96 17.06
df 3.74 6.83 12.43 4.93
Skewness -.60 -.51 .22 .02
Kurtosis -.85 .65 -.21 -.17
Range 17 38 71 24
p <.001.
Table 2. Unstandardized direct estimates.
Table 2. Unstandardized direct estimates.
Predictor Outcome Coeff SE t p
Family harmony
Family harmony
Emotion management Family harmony
Emotion management
Social media addiction
Emotion management
Social media addiction
Social media addiction
Individual-social responsibility Individual-social responsibility
Individual-social responsibility
.83
-.21
-.16
.60
.13
-.18
0.11
0.04
0.12
0.06
0.02
0.05
7,5393
-5,1466
-13,1980
10,6179
7,0547
-3,9807
<0.001
<0.001
<0.001
<0.001
<0.001
<0.001
Table 3. Completely standardized indirect effect of Family harmony on Individual-social responsibility via Emotional Management Skills and Social Media Addiction.
Table 3. Completely standardized indirect effect of Family harmony on Individual-social responsibility via Emotional Management Skills and Social Media Addiction.
95% CI
Path Coefficient LL UL p
Family harmony—> Emotion management—>Individual-social responsibility .11 .07 .15 <.001
Family harmony—> Social media addiction—>Individual-social responsibility .04 .01 .02 <.001
Family harmony—> Emotion management—>Social media addiction—>Individual-social responsibility .03 .01 .04 <.001
Total effect .77 .66 .88 <.001
Direct effect .60 .49 .71 <.001
Total indirect effect .17 .13 .22 <.001
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