Tell me why are you using social media (SM)! Relationship between reasons for use of SM, SM flow, daily stress, depression, anxiety, and addictive SM use – An exploratory investigation of young adults in Germany

https://doi.org/10.1016/j.chb.2020.106511Get rights and content

Highlights

  • Reasons for social media (SM) use may be assigned to five main categories.

  • SM flow positively predicts the search for positive emotions on SM.

  • SM flow positively predicts the escape from negative emotions on SM.

  • Depression symptoms negatively predict the search for positive emotions on SM.

  • Use of SM to escape from negative emotions positively predicts addictive tendencies.

Abstract

Social media (SM) such as Facebook and Instagram are daily used by many people. The current study investigated the reasons for social media use (SMU), as well as their relationships with daily stress, depression and anxiety symptoms, experience of flow during the usage process and tendencies of addictive SMU. In a sample of 485 users of different social platforms (age: M (SD) = 24.75 (6.24), range: 18–58), five main categories of usage reasons were identified by an inductive qualitative content analysis: “Search for Information and Inspiration”, “Search for Social Interaction”, “Beat of Boredom and Pastimes”, “Escape from Negative Emotions”, and “Search for Positive Emotions”. Flow experiences positively predicted the categories “Escape from Negative Emotions” and “Search for Positive Emotions”. The last one was additionally predicted by less depression symptoms. Only the category “Escape from Negative Emotions” positively predicted tendencies of addictive SMU. Present findings contribute to the understanding of the development of addictive online behavior. They should be considered when assessing individuals at risk for problematic use of SM like Facebook and Instagram and when developing intervention programs to deal with it.

Introduction

In the year 2020, more than two decades after the release of the first social networking site (SNS) SixDegrees (Prall, 2010) use of online social media (SM) belongs to daily life of many people (Roth, 2020). They write status updates and upload photos on social platforms such as Facebook, Instagram and Twitter to inform online friends about daily experiences, follow updates of other users, and engage in long-lasting public conversations in discussion groups (Sarmiento et al., 2018). A life without social media use (SMU) is inconceivable for many people (Singh, Halgamuge, & Mouess, 2019).

Social platforms are used for different reasons (Marino, Gini, Vieno, & Spada, 2018b; Ryan, Chester, Reece, & Xenos, 2014). Previous research applied the uses and gratifications approach to explain tendencies to intensive use of the Internet in general and of SM in particular (Dunne, Lawlor, & Rowley, 2010; LaRose & Eastin, 2004; Papacharissi & Mendelson, 2011). Social interaction and connection as well as self-presentation belonged to the main identified reasons for the use of SNSs such as Facebook (Raacke & Bonds-Raacke, 2008; Vilnai-Yavetz & Tifferet, 2015). The online communication facilitates relationship formation, contributes to the overcome of shyness and satisfies the need for social belonging (Valkenburg, Schouten, & Peter, 2005; Young, Len-Ríos, & Young, 2017). The possibility to present the own person by various descriptions and photo-sharing to the online community satisfies the need for self-promotion and the need for self-expression (Tifferet & Vilnai-Yavetz, 2018; Vilnai-Yavetz & Tifferet, 2015). Further dominant usage reasons were information or novelty seeking, entertainment, pastimes, relaxation, and escapism (LaRose & Eastin, 2004; Lee, Lee, Moon, & Sung, 2015; Smock, Ellison, Lampe, & Wohn, 2011; Wang, Jackson, Wang, & Gaskin, 2015; Whiting & Williams, 2013; Young et al., 2017). Thus, the gratification of different individual needs may result in intensive use of SM (Ryan et al., 2014).

However, even though the use of SM may contribute to the gratification of specific needs, recent research described the intensity of online activity to be negatively related to subjective well-being (Abi-Jaoude, Naylor, & Pignatiello, 2020). Investigations that considered cohort trends reported that the increase of online activity particularly in adolescents and young adults is accompanied by the increase of psychological distress, depression symptoms, and suicide-related outcomes (Twenge & Campbell, 2019; Twenge, Cooper, Joiner, Duffy, & Binau, 2019; Twenge, Joiner, Rogers, & Martin, 2018). Individuals who use Facebook have higher levels of depression symptoms and insomnia than these who waive the membership of this social platform (Brailovskaia, Margraf, Schillack, & Köllner, 2019). Those findings may contribute to the assumption of a linear causal effect of media use on well-being. However, such conclusions should be drawn with caution. Previous research emphasized that the relationship between time spent online and well-being is not linear, but rather quadratic. While high levels of screen-time are linked to decrease of well-being, moderate time spent on online activity is unlikely to cause harm, rather it may be beneficial for social interaction and socialization (Przybylski & Weinstein, 2017). Both are important reasons for SMU (Raacke & Bonds-Raacke, 2008; Whiting & Williams, 2013). Thus, usage time seems to be a significant moderator of the relationship between online media use and subjective well-being (Verduyn, Ybarra, Résibois, Jonides, & Kross, 2017).

More and more studies report intensive SMU to be positively linked to the development of a close emotional bond to the used platform that is associated with a strong obsessive need to stay permanently online (Andreassen & Pallesen, 2014; Kaye, 2019). This phenomenon was described for specific SNSs such as Facebook (Brailovskaia & Margraf, 2017), Instagram (Kircaburun & Griffiths, 2018) and Twitter (Kircaburun, 2016), as well as for the general SMU (Andreassen, Pallesen, & Griffiths, 2017). Typical characteristics of addictive SMU are salience (permanent thinking about SMU), tolerance (extended time has to be spent on SMU to experience same positive emotions as previously with less online time), mood modification (SM are typically used for mood improvement), relapse (failed attempts to reduce own SMU and return to old use pattern), withdrawal (experience of unease and nervousness without SMU), and conflicts (interpersonal offline problems caused by high intensity of SMU) (Andreassen et al., 2017; Andreassen, Torsheim, Brunborg, & Pallesen, 2012). Several studies identified positive relationships between social interaction, information seeking, entertainment and escapism – as reasons for online activity – and addictive use of Facebook (Kim & Davis, 2009; Marino et al., 2018b; Masur, Reinecke, Ziegele, & Quiring, 2014; Ryan, Reece, Chester, & Xenos, 2016) and Instagram (Ponnusamy, Iranmanesh, Foroughi, & Hyun, 2020). Thus, it can be assumed that some individuals are at a higher risk for addictive usage tendencies than others depending on why they engage in intensive online activity.

Moreover, individuals who experience high levels of daily stress were described to be longitudinally at enhanced risk to develop addictive tendencies (Brailovskaia, Teismann, & Margraf, 2018). Addictive SMU was positively related to depression and anxiety symptoms (Atroszko et al., 2018; Koc & Gulyagci, 2013; Marino et al., 2018b; Marino, Gini, Vieno, & Spada, 2018a). Depression symptoms moderated the link between daily stress and addictive SMU – the higher the level of depression symptoms, the closer the link between daily stress and addictive online behavior (Brailovskaia, Velten, et al., 2019).

Furthermore, previous research described individuals who engage in intensive SMU to experience flow (Kaur, Dhir, Chen, & Rajala, 2016; Kwak, Choi, & Lee, 2014) – a form of intense enjoyment and satisfaction when doing something with total involvement (Csikszentmihalyi, 1990). SM flow was defined as a “multidimensional construct reflected by ‘concentration’, ‘time-distortion’, ‘telepresence’, ‘enjoyment’, and ‘curiosity’ as they relate to the SNS interaction” (Kwak et al., 2014, p. 295). Studies that investigated different forms of online media use such as online gaming (Chou & Ting, 2003; Trivedi & Teichert, 2017; Wu, Scott, & Yang, 2013), general Internet use (Khang, Kim, & Kim, 2013; Kim & Davis, 2009) and SMU (Brailovskaia, Bierhoff, Rohmann, Raeder, & Margraf, in press.; Brailovskaia, Rohmann, Bierhoff, & Margraf, 2018; Kwak et al., 2014) emphasized that experience of flow during the media use might be an antecedent of addictive behavior. The online flow subscale ‘telepresence’ that describes the feeling of being totally immersed in the online world linked to fading out of everything that happens in the offline world seems to be of particular importance for the association between flow and addictive media use. In contrast, only a weak association between the online flow subscale ‘enjoyment’ and addictive media use was reported (Brailovskaia, Rohmann, et al., 2018).

Considering the presented results, it can be concluded that addictive SMU might be fostered by specific reasons for online activity and by the increased level of variables such as daily stress, depression, anxiety and flow. However, to the best of our knowledge, the relationship between daily stress, depression, anxiety and flow, the different reasons for use of SM and addictive SMU has not been investigated at once. Therefore, the main reasons for SMU of individuals who experience enhanced levels of daily stress or of online flow or have increased symptoms of depression or anxiety symptoms remain unclear.

This knowledge seems to be of great importance. It can support the screening and identification process of individuals who are at specific risk for this form of addictive behavior, and the development of prevention programs for healthy people as well as therapy programs for clinical patients. The high need for such programs is emphasized by recent findings about potential negative impact of addictive SMU. Results of longitudinal studies revealed addictive use of Facebook to positively predict symptoms of insomnia in a sample of clinical patients (Brailovskaia, Rohmann, Bierhoff, Margraf, et al., 2019), and suicide-related outcomes (suicide ideation and attempts) in a sample of college students (Brailovskaia, Teismann, & Margraf, 2020).

Based on the presented empirical background, the current study had following aims. First, earlier research reported social interaction, self-presentation, information or novelty seeking, entertainment, pastimes, relaxation and escapism to belong to the main reasons for use of online media (e.g., LaRose & Eastin, 2004; Marino et al., 2018b; Masur et al., 2014; Raacke & Bonds-Raacke, 2008; Vilnai-Yavetz & Tifferet, 2015). With regard to the rapid development of new technical features on SNSs such as Facebook and Instagram in the last years (Roth, 2020), it may not be excluded that – additionally to the earlier reported reasons – further reasons impel individuals to intensive or even problematic SMU. Therefore, in the current study, it should be investigated by an explorative analysis which reasons are relevant for SMU in the end of the year 2019. The explorative character of the analysis should avoid restrictions to the earlier identified reasons only and enable a free generation of currently relevant reasons.

Second, individuals with enhanced levels of daily stress, depression and anxiety symptoms, as well as SM flow were described to engage in intensive SMU (Bányai et al., 2017; Brailovskaia, Velten, et al., 2019; Marino et al., 2018b; Verduyn et al., 2017; Xie & Karan, 2019). The present study aimed to investigate whether there are specific association patterns between the variables daily stress, depression and anxiety symptoms, and SM flow, on the one hand, and different reasons for SMU, on the other hand. It should be investigated whether the reasons for SMU may be predicted by the other investigated variables.

Third, different reasons for online activity were reported to be positively linked to addictive use of Facebook (Marino et al., 2018b) and of Instagram (Ponnusamy et al., 2020). It has been assumed that positive experiences made online by the gratification of needs enhance the use intensity of the social platforms and foster the risk to develop addictive tendencies. Particularly the gratification of information seeking, social interaction and pastimes, and of the wish to reduce negative mood were closely linked to addictive tendencies (Brailovskaia, Rohmann, Bierhoff, Schillack, et al., 2019; Marino et al., 2018b; Ryan et al., 2014). The current study aimed to investigate whether these conclusions considering addictive SMU may be replicated and/or expanded in the end of the year 2019. Thus, the relationship between reasons for SMU and addictive tendencies should be investigated.

Considering that the results of the explorative investigation (see first research aim) should reveal the reasons for SMU, and considering the currently insufficient knowledge of the relationship between different reasons for SMU and the other investigated variables, to avoid speculations, three research questions were formulated instead of hypotheses:

For what reasons do individuals engage in SMU? (Research Question 1)

Are the reasons for SMU associated with the level of daily stress, depression symptoms, anxiety symptoms, and online flow? (Research Question 2)

Are the reasons for SMU associated with addictive SMU? (Research Question 3)

Section snippets

Participants

Data of 485 individuals (77.7% women; age (years): M (SD) = 24.75 (6.24), range: 18–58; occupation: 73.6% university students, 24.7% employed, 1.6% unemployed; marital status: 43.1% single, 45.6% with romantic partner, 11.3% married) from Germany were collected by an online survey. There were no missing data. All data sets were complete. All participants are current or former students of a large university in the Ruhr region in Germany. At the beginning of their study, students of this

Results

On average, SNSs were daily used for 80.83 min (SD = 80.35; range: 0–720). Of the participants 48.9% (n = 237) mainly preferred to use Instagram, 32.4% (n = 157) Facebook, 7.6% (n = 37) Twitter, 3.1% (n = 15) Tumblr, 2.7% (n = 13) Snapchat, 2.3% (n = 11) Reddit, 1.6% (n = 8) Pinterest, and 1.4% (n = 7) LinkedIn.

As shown in Table 1, in the current sample, usage reasons that were assigned to the category “Search for Information and Inspiration” belonged to the most frequent responses, followed by

Discussion

Many people daily engage in intensive use of social media (Roth, 2020). In the current study the reasons for this behavior and their relationship with daily stress, symptoms of depression and anxiety, SM flow and addictive SMU were investigated in a sample of young adults in Germany. Present results mostly confirm and extend previous findings (e.g., Khang et al., 2013; Whiting & Williams, 2013).

Previous research described social interaction, self-presentation, information or novelty seeking,

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. grant from funding agencies in the public, commercial, or not-for-profit sectors.

CRediT authorship contribution statement

Julia Brailovskaia: Conceptualization, Methodology, Software, Validation, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Holger Schillack: Methodology, Software. Jürgen Margraf: Methodology, Resources.

Declaration of competing interest

None.

References (92)

  • K.T. Kwak et al.

    SNS flow, SNS self-disclosure and post hoc interpersonal relations change: Focused on Korean Facebook user

    Computers in Human Behavior

    (2014)
  • J.S. Lemmens et al.

    Psychosocial causes and consequences of pathological gaming

    Computers in Human Behavior

    (2011)
  • J. Li et al.

    Locus of control and cell phone use: Implications for sleep quality, academic performance, and subjective well-being

    Computers in Human Behavior

    (2015)
  • P.F. Lovibond et al.

    The structure of negative emotional states: Comparison of the depression anxiety stress scales (DASS) with the beck depression and anxiety inventories

    Behaviour Research and Therapy

    (1995)
  • C. Marino et al.

    The associations between problematic facebook use, psychological distress and well-being among adolescents and young adults: A systematic review and meta-analysis

    Journal of Affective Disorders

    (2018)
  • C. Marino et al.

    A comprehensive meta-analysis on problematic facebook use

    Computers in Human Behavior

    (2018)
  • P.K. Masur et al.

    The interplay of intrinsic need satisfaction and Facebook specific motives in explaining addictive behavior on Facebook

    Computers in Human Behavior

    (2014)
  • M. Michikyan et al.

    Can you tell who I am? Neuroticism, extraversion, and online self-presentation among young adults

    Computers in Human Behavior

    (2014)
  • M. Pittman et al.

    Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words

    Computers in Human Behavior

    (2016)
  • S. Ponnusamy et al.

    Drivers and outcomes of Instagram addiction: Psychological well-being as moderator

    Computers in Human Behavior

    (2020)
  • A. Reissmann et al.

    The role of loneliness in emerging adults' everyday use of facebook–An experience sampling approach

    Computers in Human Behavior

    (2018)
  • T.J. Sinclair et al.

    Facebook as a source of social connectedness in older adults

    Computers in Human Behavior

    (2017)
  • A.D. Smock et al.

    Facebook as a toolkit: A uses and gratification approach to unbundling feature use

    Computers in Human Behavior

    (2011)
  • S. Tifferet et al.

    Self-presentation in LinkedIn portraits: Common features, gender, and occupational differences

    Computers in Human Behavior

    (2018)
  • I. Vilnai-Yavetz et al.

    A picture is worth a thousand words: Segmenting consumers by facebook profile images

    Journal of Interactive Marketing

    (2015)
  • J.-L. Wang et al.

    Predicting social networking site (SNS) use: Personality, attitudes, motivation and internet self-efficacy

    Personality and Individual Differences

    (2015)
  • H.C. Woods et al.

    # Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem

    Journal of Adolescence

    (2016)
  • R. Young et al.

    Romantic motivations for social media use, social comparison, and online aggression among adolescents

    Computers in Human Behavior

    (2017)
  • E. Abi-Jaoude et al.

    Smartphones, social media use and youth mental health

    Canadian Medical Association Journal

    (2020)
  • C.S. Andreassen et al.

    Social network site addiction – an overview

    Current Pharmaceutical Design

    (2014)
  • C.S. Andreassen et al.

    Development of a Facebook addiction scale

    Psychological Reports

    (2012)
  • W. Aretz et al.

    Date me if you can: Ein systematischer Überblick über den aktuellen Forschungsstand von Online-Dating

    Zeitschrift für Sexualforschung

    (2017)
  • F. Bányai et al.

    Problematic social media use: Results from a large-scale nationally representative adolescent sample

    PloS One

    (2017)
  • R.F. Baumeister et al.

    The need to belong: Desire for interpersonal attachments as a fundamental human motivation

    Psychological Bulletin

    (1995)
  • J.B. Bayer et al.

    Sharing the small moments: Ephemeral social interaction on Snapchat

    Information, Communication & Society

    (2016)
  • D.M. Boyd et al.

    Social network sites: Definition, history, and scholarship

    Journal of Computer-Mediated Communication

    (2007)
  • J. Brailovskaia et al.

    The narcissistic millennial generation: A study of personality traits and online behavior on facebook

    Journal of Adult Development

    (2020)
  • Brailovskaia, J., Bierhoff, H.-W., Rohmann, E., Raeder, F., & Margraf, J. (in press).). The relationship between...
  • J. Brailovskaia et al.

    Comparing facebook users and facebook non-users: Relationship between personality traits and mental health variables– an exploratory study

    PloS One

    (2016)
  • J. Brailovskaia et al.

    Facebook Addiction Disorder (FAD) among German students – a longitudinal approach

    PloS One

    (2017)
  • J. Brailovskaia et al.

    What does media use reveal about personality and mental health? An exploratory investigation among German students

    PloS One

    (2018)
  • J. Brailovskaia et al.

    The brave blue world: Facebook flow and facebook addiction disorder (FAD)

    PloS One

    (2018)
  • J. Brailovskaia et al.

    Relationships between addictive facebook use, depressiveness, insomnia, and positive mental health in an inpatient sample: A German longitudinal study

    Journal of Behavioral Addictions

    (2019)
  • J. Brailovskaia et al.

    Positive mental health mediates the relationship between facebook addiction disorder and suicide-related outcomes: A longitudinal approach

    Cyberpsychology, Behavior, and Social Networking

    (2020)
  • J. Brailovskaia et al.

    Relationship between daily stress, depression symptoms, and Facebook Addiction Disorder in Germany and in the USA

    Cyberpsychology, Behavior, and Social Networking

    (2019)
  • G.S. Brunborg et al.

    The relationship between media use in the bedroom, sleep habits and symptoms of insomnia

    Journal of Sleep Research

    (2011)
  • Cited by (90)

    View all citing articles on Scopus
    View full text