1 discussion question (Psychology Expert)
new media & society 2017, Vol. 19(2) 308 –326
© The Author(s) 2016 Reprints and permissions:
sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/1461444816671891
journals.sagepub.com/home/nms
Explicating problematic social network sites use: A review of concepts, theoretical frameworks, and future directions for communication theorizing
Edmund W J Lee, Shirley S Ho and May O Lwin Nanyang Technological University, Singapore
Abstract The prevalence of social network sites (SNSs) has sparked a growing interest in understanding the development of problematic SNSs use among adolescents. Yet, this nascent area of research is marked by some deficiencies in existing theoretical paradigms. This article seeks to review the state of research in problematic SNSs use— broadly with a specific focus on adolescents—and identify key areas of research for future scholarly work. First, we summarize the historical and recent developments of media addiction and problematic SNSs use research. Second, we discuss the theoretical perspectives that contribute to our understanding of the problematic SNSs use phenomenon and identify the weaknesses of these frameworks. Third, we propose that communication scholars should strive for theoretical integration and examine the impact of microsystem (e.g. parents and peers) and macrosystem (e.g. surveillance culture) on the development of problematic SNSs among adolescents. Directions for future theoretical and methodological approaches are suggested.
Keywords Adolescents, macrosystem, media addiction, microsystem, peers, problematic use, social network, social network sites (SNSs), surveillance culture
Corresponding author: Edmund W J Lee, Wee Kim Wee School of Communication and Information, Nanyang Technological University, 31 Nanyang Link, 637718 Singapore. Email: [email protected]
671891 NMS0010.1177/1461444816671891new media & societyLee et al. research-article2016
Article
Lee et al. 309
The phenomenal growth of social network sites (SNSs) has captured a considerable amount of attention from the academic community in recent years. Particularly, the potential of SNSs to elicit addictive tendencies, or problematic SNSs use, has attracted much scholarly interest. Research has shown that the estimates of problematic SNSs use ranged from a low of 1.6% to a high of 34% in various study populations (Griffiths and Kuss, 2015), and this figure is likely to increase based on the upward trend in SNSs adop- tion—the number of Internet users who use SNSs increased fivefold from 2006 to 2015 (Perrin, 2015). As the problem is more pronounced among adolescents (Meena et al., 2012), it illustrates the importance of this topic for teenagers. Adolescents are at a higher risk of developing problematic SNSs use as they are the most frequent users of SNSs, and the proliferation of smartphone ownership among the young make it very convenient for them to access SNSs (Griffiths et al., 2014; Lauricella et al., 2014). Moreover, it is at the stage of adolescence where teenagers display the highest level of difficulty in behav- ioral and emotional regulation (e.g. Prencipe et al., 2011). With the ease of accessibility to SNSs, it is reasonable to postulate that the incidence of problematic SNSs use may increase gradually, even though like most behavioral addiction, it is ultimately a problem that only affects the minority (Sussman et al., 2011).
As such, it is important to unpack problematic SNSs use theoretically for future research. While our subsequent discussion aims to examine the topic broadly, we will keep a specific focus on adolescents, as they are the most susceptible to problematic SNSs use. The purpose of this article is fourfold. First, we highlight some of the chal- lenges faced by researchers involved in problematic SNSs use research, followed by a brief explication of problematic SNSs use. Next, we review the general theoretical para- digms that could guide research in problematic SNSs use. Third, we propose that future research directions should strive for theoretical integration and examine the impact of microsystem (e.g. parents and peers) and macrosystem (e.g. surveillance culture) on adolescents’ development of problematic SNSs use. Last but not least, we also suggest that future works should incorporate a network perspective to understand the phenom- enon and to extend existing communication theories by accounting for the synergistic influence of both external- and individual-level constructs on adolescents’ problematic SNSs use.
Challenges to research in problematic SNSs use
While problematic SNSs use is a relatively nascent research area, there is a surge in the number of publications and debate about this phenomenon in recent years (e.g. Andreassen et al., 2012; Kittinger et al., 2012; Meena et al., 2012). Even with the bur- geoning scholarship, there are challenges to research in problematic SNSs use due to unaddressed theoretical and methodological shortfalls. Unfortunately, instead of provid- ing clarity, the quantitative increase in research has produced some unwanted conse- quences. One of such is exacerbating the existing fragmentation in the field instead of achieving the intended conceptual convergence. Specifically, there are three distinct issues facing researchers involved in problematic SNSs use research.
First, one of the unresolved issues is the confusion over conceptualization—what do scholars actually mean by problematic SNSs use? For instance, problematic media use is
310 new media & society 19(2)
used synonymously with terms such as dependency, addiction, and pathological usage (Andreassen et al., 2012; LaRose et al., 2003). Scholars need to understand the qualita- tive differences among the terms and use them discriminately.
The second challenge is identifying and applying theoretical frameworks appropri- ately to examine problematic SNSs use. There are many theoretical frameworks in psy- chology, communication, and neurobiological or psychophysiological studies that scholars could adopt to examine problematic SNSs use. For instance, some have exam- ined it through the theoretical lenses of personality types (Caci et al., 2014; Ross et al., 2009; Skues et al., 2012), while others have argued that problematic SNSs use should be interpreted through the social cognitive lens (e.g. LaRose et al., 2010). Scholars have also proposed applying theories such as the theory of planned behavior or Caplan’s prob- lematic Internet use to the context of SNSs use (Baker and White, 2010; LaRose et al., 2010; Pelling and White, 2009).
While each of these theoretical frameworks bring their unique contributions, few have presented a systematic defense of the chosen theoretical framework and demonstrate how their works contribute to the overall development of communication theorizing. Without addressing the why questions, the quantitative increase in the research will merely add to the creation of isolated academic frog ponds (Rosengren, 1993), while taking very little stride in the development of communication theory.
The third issue is that the existing theoretical frameworks seem to over-emphasize individual-level constructs while ignoring how external environmental factors could contribute to the development of unhealthy SNSs usage. While psychological theories focusing on individual-level factors do partially explain why some exhibit uncontrolla- bility in their SNSs use, a large body of research has also identified external factors such as parents or peers’ influence—the ecological systems one is embedded in—as important contributors to the development of addictive tendencies (Santrock, 2007, 2008).
Addiction, dependency, or problematic use?
There are a variety of terms used for addictive tendencies to media (LaRose et al., 2003). For instance, scholars have used terms such as addiction (Alabi, 2013; Koc and Gulyagci, 2013; Young, 2004), dependency (Lu, 2008; Peng and Liu, 2010), and problematic use (Caplan, 2002, 2010; Caplan and High, 2012) to describe individuals’ uncontrollable urge to use media.
Addiction is a compulsive and unhealthy dependence on a habit or substance that has negative physical or psychological repercussions (Byun et al., 2009). Despite having a longstanding academic tradition, the term addiction remains highly contentious, result- ing in much division in the scholarly community. The usage of the word initially fell out of favor with professional academic societies such as the American Psychiatric Association (APA), which replaced it with the preferred term dependence in the Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-IV) (LaRose et al., 2003). Media addiction was not recognized as an official disorder as issues such as etiology, comorbidity (e.g. Ho et al., 2014), and treatment were not clearly accounted for, and it raises false alarm to seek treatment when there is none (LaRose et al., 2003).
Lee et al. 311
The preference for dependence as a descriptive label was short-lived. Even though dependence was less loaded than addiction, it did not gain widespread acceptance. In the latest DSM-5, scholars recognized that the word dependence had caused much confusion instead of achieving conceptual clarity. As such, dependency was eventually replaced by substance use disorder in the description of addictive tendencies related to substance use while addictive disorder was used to describe behavioral addictions (American Psychiatric Association [APA], 2013).
Problematic use as the preferred term
In recent years, the use of the term problematic use has become popular with Internet researchers (Yellowlees and Marks, 2007). Many scholars prefer this concept because compared to terms like addiction or dependency, it does not assume that all cases of problematic SNSs use are pathological; at the same time, it is broad enough to encapsu- late varying degrees of compulsivity and negative outcomes experienced by individuals (Caplan, 2002; Yellowlees and Marks, 2007).
Based on Davis’ (2001) work in pathological Internet use, Caplan (2002) was one of the researchers who popularized the term problematic internet use as a preferred term over Internet addiction. In his treatment of the topic, Davis emphasized using a cogni- tive-behavioral approach and highlighted the importance of examining maladaptive cog- nitions and behaviors associated with Internet use as antecedents to negative consequences (Caplan, 2002; Neo and Skoric, 2009).
Davis (2001) postulated that there are two dimensions of problematic Internet use— specific and generalized Internet usage. The former—specific problematic Internet use— refers to the uncontrollable dependency on specific content or function on the Internet (e.g. gambling and pornography). Researchers who examine specific problematic Internet use typically assume that users are goal-driven in their Internet use. As such, the Internet merely fuels pre-existing addictive tendencies. Generalized problematic Internet use, on the other hand, focuses on how cognitions and behaviors relate to general Internet usage and negative consequences (Caplan, 2010). There are two major assumptions of generalized problematic Internet use. First, it assumes that the unique communication context provided by the Internet such as anonymity, opportunities for self-presentation, and social interaction, together with pre-existing psychosocial problems, facilitate the growth of problematic use (Caplan, 2002). Thus, the Internet as a medium plays a signifi- cant role in fostering problematic use because of its affordances. Second, generalized problematic Internet use framework accounts for understanding online cognitions and behaviors of users who are not goal directed at all—not all online activities are goal directed and individuals may go online simply to pass time (Davis, 2001).
As such, problematic use may be a preferred1 term to describe addictive tendencies to SNSs because it avoids premature diagnosis of a pathological problem, and yet it is broad enough to encompass differing levels of compulsivity and negative consequences related to SNSs use. The two assumptions of generalized problematic Internet use inte- grates well with the nature of SNSs. Pertaining to the first assumption, the unique affordances of SNSs (e.g. self-presentation, anonymity, and facilitating online communi- cation) (Nadkarni and Hofmann, 2012), together with pre-existing psychosocial
312 new media & society 19(2)
problems, do exacerbate problematic use (LaRose et al., 2010). With regard to the second assumption, research has also shown that SNSs use may also not always be goal-directed, people sometimes use SNSs because they are bored or simply to pass time (Giannakos et al., 2012).
Existing theoretical frameworks for problematic SNSs use
To understand problematic SNSs use, scholars have adopted a variety of theoretical per- spectives. In general, these theoretical perspectives could be categorized as (a) disease model of addiction, (b) neurobiological and psychophysiological perspective, (c) addic- tive personality model, (d) operant conditioning model of addiction, (e) social cognitive model of addiction, and (f) Caplan’s problematic Internet use (Grant et al., 2010; Griffiths, 2013; LaRose et al., 2003).
Disease model of addiction
Among all the theoretical frameworks, the most prominent is the disease model of addic- tion. Under this framework, problematic use is equivalent to having a mental disease or psychiatric disorder with compulsive qualities (LaRose et al., 2003). Those who were found with problematic use would be labeled as “addicts,” and those without the symp- toms would be labeled as “non-addicts.” Young’s (1998) Internet addiction test is a good representation of this theoretical framework. Her eight-item criteria were adapted from what DSM-IV presented for pathological gambling, in which she equated Internet addic- tion to a clinical disorder similar to pathological gambling (Young, 2004). Apart from focusing on diagnosing and identifying the etiology of addiction, scholars who adopt this framework are also concerned about the treatment process, including knowing how to reduce the dependency on media through different programs such as therapy or group and individual counseling sessions (Young et al., 2007).
Neurobiological and psychophysiological perspective
Second, scholars have adopted the neurobiological and psychophysiological perspective in understanding problematic media use. The focus of the neurobiological perspective is comparing and contrasting neural activity between individuals with high and low depend- ence with respect to disrupted neurotransmission in terms of dopaminergic, serotonergic, or opioid systems (Grant et al., 2006). To date, there are no known studies that have examined problematic SNSs use from a neurobiological perspective even though this is worth consideration for future research (Andreassen and Pallesen, 2014); past studies have found similar neural activities between those who scored high on Internet gaming addiction and nicotine dependency (e.g. Ko et al., 2013). As such, it is plausible that similar neural activities would be found in frequent users of SNSs. As high SNSs users are prone to depression and anxiety, it is likely that they rely more on SNSs for mood modification as the brain’s reward system will release endorphins and dopamine, con- tributing to an emotional high (Andreassen and Pallesen, 2014). Just like the neurobio- logical perspective, the application of a psychophysiological perspective to SNSs is
Lee et al. 313
relatively new. Thus far, only one study has examined it from a psychophysiological perspective, measuring skin conductance and pupil dilation (Mauri et al., 2011).
Addictive personality model
The third type of theoretical framework used in problematic media use research is the addictive personality model. This paradigm presumes that individuals of certain person- ality types are more likely to exhibit addictive tendencies to SNSs (e.g. Hughes et al., 2012; Skues et al., 2012). After decades of psychological research, scholars have identi- fied five dimensions of personality—neuroticism, extraversion, conscientiousness, openness to experience, and agreeableness—which collectively are known as the five- factor model of personality (Hughes et al., 2012). This perspective has received some degree of empirical evidence as studies have shown that traits such as conscientiousness, openness to experience, (Amichai-hamburger and Vinitzky, 2010; Özguven and Mucan, 2013), and extraversion (Caci et al., 2014) were associated with high SNSs use even though the relationship was disputed by some (e.g. Ross et al., 2009).
Operant conditioning model
Fourth, the operant conditioning model is a framework adopted by scholars in addiction studies (e.g. Davis, 2001). The assumption of this paradigm is that consumption behavior goes through four stages—from initiation, transition to on-going use, to addiction (Marlatt et al., 1988). At the initiation stage, an individual engages in a certain behavior (e.g. either substance related or non-substance related) due to the positive expected out- comes, such as obtaining gratification from the behavior. The obtained gratification pro- pels the individual to persist in the behavior for continual gratification, and at this stage, the behavior is not problematic even though there is a level of automaticity involved. However, if the behavior becomes an exclusive mechanism to achieve the desired out- comes (e.g. gratification), there is a transition to addiction. In the addiction phase, indi- viduals may require higher consumption level to achieve the same level of gratification; they may also face withdrawal symptoms in the absence of the consumption behavior (LaRose et al., 2003).
Social cognitive model
The fifth type of theoretical framework is the social cognitive model, which LaRose et al. (2003) modified for the context of problematic media use. This model stemmed from Bandura’s (1986) work in the social cognitive theory, which postulates that human behaviors are a function of a triadic causation of human, behavioral, and envi- ronmental determinants (Bandura, 2001). Central to the social cognitive model is the self-regulation mechanism, which assumes that humans have self-regulatory power over their behavior.
LaRose et al. (2003) argued that in many cases, where individuals display addictive tendencies to media platforms, it could be due to the interplay of deficiency in self-reg- ulatory functions—known as deficient self-regulation—and the habitual strength of
314 new media & society 19(2)
media usage— a context-specific behavior that occurs automatically without the need of self-instruction (LaRose, 2010). As individuals seek to maximize positive and minimize negative outcome expectations by consuming media, they may develop deficiencies in self-regulation and an increase in media habit strength as they become less conscious of their actions. The symbiotic relationship of deficient self-regulation and habit strength will contribute to high media consumption behavior.
Caplan’s problematic Internet use model
Last but not least, the sixth theoretical framework used in problematic media studies is Caplan’s problematic Internet use model (Caplan, 2003, 2005). Caplan (2002) drew from Davis’ (2001) conceptualization of pathological Internet use that comes from the cogni- tive-behavioral model, which postulates that maladaptive symptoms of problematic Internet use consists of both cognitive and behavioral dimensions. Like Davis, Caplan advocates a shift from the traditional media addiction framework when examining indi- viduals’ excessive Internet use and hypothesized that psychosocial problems such as depression predispose individuals to develop maladaptive cognitions associated with Internet use (Caplan, 2002), leading to undesirable negative outcomes such as disrup- tions to relationships and work.
Insufficiencies of the theoretical frameworks
These six theoretical frameworks have in their own way contributed significantly to research on problematic media use and have provided important conceptual perspectives for researchers embarking on problematic SNSs use research. Yet, there remain gaps and insufficiencies that impede the development of a holistic communication theory.
First, some of the frameworks operate more on the descriptive level and do little to provide theoretical justification for the broader why questions. For instance, why do the factors in the theoretical frameworks account for possible addictive tendencies? This limitation extends to the neurobiological and psychophysiological perspectives as well as for the addictive personality model. For the neurobiological and psychophysiological framework, while there is a novelty associated with data-richness, one major weakness is the lack of explanatory power—even though it shows how the neural and psycho- physiological activity correlates with addictive tendencies, there are no distinct commu- nication paradigms that undergird such research. As for the addictive personality model, while extensive research has been done for the SNSs context (Amichai-hamburger and Vinitzky, 2010; Hughes et al., 2012; Ross et al., 2009), there were only few that high- lighted how this perspective fit into the overall communication theorizing or point to implications for theoretical development in the communication.
Second, many of these theories (e.g. addictive personality and social cognitive model) were overly focused on personal-level constructs without taking into account how exter- nal factors could provide the impetus for individuals to engage in addictive behaviors. Addiction is a complex phenomenon, and theoretical frameworks based only on indi- vidual constructs fail to address how the interplay of both internal and external environ- mental determinants serve as push and pull factors that contribute to the development of
Lee et al. 315
addictive behaviors. Even though LaRose et al. (2003) claimed to adopt Bandura’s social cognitive model that sought to explain why individuals develop problematic media use through the interplay of environmental, personal, and behavioral determinants, the actual model tested in subsequent studies did not include any environmental determinants (LaRose and Eastin, 2004; LaRose et al., 2010; Lee and LaRose, 2007).
Future extensions—theoretical integration
One way communication scholars could overcome the insufficiencies of these frame- works is to adopt an integrative approach to understand problematic SNSs use, instead of relying on a singular theoretical framework without referencing others. By drawing out similar conceptual ideas and integrating them, scholars can achieve parsimony in model testing and overcome the issue of developing academic myopia. Some scholars have attempted to adopt the synergistic approach and the results were promising. For instance, research has identified conceptual similarities among the variable deficient self-regulation (from the social cognitive model) and cognitive preoccupation and compulsive use (from problematic Internet use model), and thus an integrated model drawing from the two perspectives was proposed (Caplan, 2010). In addition, research has theoretically synthesized the social cognitive model with the problematic Internet use model; this extended model gives a broad overview of how psychosocial problem and deficits in social skills relate to self-regulatory problems and negative outcomes (LaRose et al., 2010).
A second potential way of integration is testing existing models (e.g. social cognitive model or problematic Internet use model) across different personality types. Researchers have often concluded that individuals who possess certain personality traits are more likely to develop problematic media use—however, the results are largely mixed and at best inconclusive (Caci et al., 2014; Özguven and Mucan, 2013). Instead of attempting to identify the one personality trait that is most at risk of developing problematic media use—which may inevitably result in unnecessary stigmatization—scholars could test how relationships between variables in existing theoretical models differ across person- ality types by using multi-group analyses. There are two benefits of doing so. First, com- munication scholars can establish statistical invariance across the multiple groups of personality traits. If the relationships in the model pan out in the same way regardless of personality types, it suggests that there is a higher degree of universality between the independent and dependent variables, giving more credibility to hypothesized relation- ships. Second, if the relationships between variables in the models truly differ across personality traits, scholars can investigate meaningful differences in how personality types relate to the development of problematic media use.
Future extensions—microsystem and macrosystem
Apart from theoretical synthesis, a second way communication scholars could address the insufficiencies of these frameworks is to conscientiously account for the role of envi- ronmental and external factors in influencing adolescents’ problematic SNSs use devel- opment. One way to do so is to integrate Bronfenbrenner’s ecological system theory with
316 new media & society 19(2)
existing communication theories. The ecological system theory postulates that individu- als are situated in an ecological system that is made up of different layers of systems, and each layer exerts a certain level of influence over their development process (Meece and Daniels, 2008). These systems2 are identified as microsystem, mesosystem, exosystem, macrosystem, and chronosystem (Santrock, 2007).
To an individual, the most proximal system is known as the microsystem, which con- sists of individual’s immediate interpersonal relationships that has a direct influence over his life. For instance, interpersonal networks (e.g. parents, peers) are considered part of one’s microsystem. Macrosystem, on the other hand, is the most distant environmental system to an individual. This refers to a more abstract form of influence on individuals, and they consist of social norms, cultural values, attitudes, as well as the political and economic systems (McHale et al., 2009). For this review, we focus on how the role of parents and peers (microsystem), as well as the normalization of the surveillance culture (macrosystem) due to the prevalence of SNSs, may partially contribute to the develop- ment of problematic SNSs use among adolescents.
Microsystem—the role of parents
It is important to consider the role of parents and the development of addictive tenden- cies in adolescents as research have demonstrated the empirical link between parents’ role (Baumrind, 1991; Montgomery et al., 2008; Siomos et al., 2012) and adolescents’ psychosocial problems (Fitzpatrick et al., 1996). Increasingly, there are more research examining the role of parents and adolescent’s SNSs use (Clark, 2011; Lee and Chae, 2007; Panek, 2014; Valcke et al., 2010).
Specifically, scholars can focus on two areas: parenting styles and family relation- ships (Doty and Dworkin, 2014; Floros and Siomos, 2013; Li et al., 2013; Martinez De Morentin et al., 2014). Current literature has identified four types of parenting meth- ods—authoritative, authoritarian, permissive, and rejecting-neglecting styles (Baumrind, 1991). Authoritative parents are demanding and highly responsive to their children’s needs; while they are assertive, they are not necessarily restrictive. Authoritarian parents on the other hand are demanding but not responsive to the needs of their children. They expect strict compliance to what they say without offering much explanation. Permissive parents are high in their responsiveness but not demanding, while rejecting–neglecting parents are neither responsive nor demanding.
There are no existing studies that have examined parenting behaviors on their chil- dren’s SNSs use even though there are strong theoretical reasons to postulate such a relationship—parenting behaviors are associated with the development of self-regulation in children, which is a key component in LaRose’s social cognitive model. Children who grew up with parents who adopt authoritative style are often happy, well developed, with higher levels of self-control, compared to children who grew up in neglectful or permis- sive homes (Santrock, 2007). Besides this, during the adolescence stage, conflict between parents and child escalates (Santrock, 2008), and SNSs serve as an avenue for mood modification (Caplan, 2005; LaRose et al., 2010).
Apart from parenting styles, parent–child relationships may also influence the devel- opment of addictive behaviors in adolescents (Cheong et al., 2011). The family serves as
Lee et al. 317
a social and emotional support for adolescents (Yan et al., 2014). If the family provides high social support, the less likely the child or adolescent will develop problematic SNSs use—there is an inverse relationship between the level of support given by family and the development of addictive tendencies (Gunuc and Dogan, 2013). In addition to the quality of relationship, the perceived warmth of the family environment may also play a crucial role in explaining why some adolescents develop problematic SNSs use. Past research that has shown that individuals growing up in warm family environment will display less addictive tendencies (Cheong et al., 2011; Huang et al., 2009).
Microsystem—the role of peers
Apart from parents, scholars should consider how peers—another important element in the microsystem (Meece and Daniels, 2008)—could influence adolescents’ problematic SNSs use. Peers constitute an important role in a young person’s life (Allen and Antonishak, 2008) as the period of adolescence is marked by a significant time spent with peers and desire to belong to peer groups (Santrock, 2009). Peers are individuals who are similar to a person in terms of age or maturity (Santrock, 2008), and for adoles- cents, their peers are most likely to be others who attend the same class, school, com- munity, or religious institutions. Research has shown that adolescents’ behavior mirrors their peers, and peer relationships are significantly associated with adolescents’ develop- ment of problematic behaviors such as alcohol and substance use (Schwinn and Schinke, 2014; Slater and Henry, 2013), as well as problematic Internet use (Zhu et al., 2015). There are three specific areas that may be related to adolescents’ problematic SNSs use: (a) the attributes of peers, (b) the affordances of the mediated environment of SNSs, and (c) the quality of online peer relationships.
First, peer attributes may have a significant influence on the development of prob- lematic SNSs use because of the intrinsic desire of adolescents to be part of peer groups or to form cliques (Meece and Daniels, 2008). Peers meet adolescents’ need for com- panionship, stimulation (e.g. information), physical support, ego support (e.g. encour- agement), social comparison, as well as intimacy (Santrock, 2007), and as such, they exert certain amount of influence over adolescents’ behavior (e.g. Choukas-bradley et al., 2015; Schwinn and Schinke, 2014; Slater and Henry, 2013). Driven by the intrin- sic desire to be part of a peer group, there is pressure for adolescents to conform to social norms. If majority of their friends use a particular SNS for communication, they are more likely to use it to be included into the group. Existing research has shown that SNSs are widely used for maintenance of social connection with friends (Balakrishnan and Shamim, 2013) and that peer norms are associated with intention to use SNSs (Pelling and White, 2009).
Second, scholars could examine how the affordances of SNSs environment, together with peer communication, facilitate the development of problematic SNSs use. One of the affordances of SNSs environment is to allow for asynchronous communication (Lee et al., 2012); this means that users of SNSs can communicate with one another without the constraints of time. This is a highly attractive feature for adolescents as it removes the pressures that come along with face-to-face interactions and gives adoles- cents greater control of how they present themselves to others (Caplan, 2005; Kim and
318 new media & society 19(2)
Lee, 2011). During the adolescence period, teenagers are concerned with their physical appearance and the need for peers’ approval (Santrock, 2008). Thus, this may induce a preference for online communication via SNSs, which provide a safe haven for inter- action as it gives adolescents the power of manipulating how they are presented to their online communities (Nadkarni and Hofmann, 2012). This, known as the social com- pensation hypothesis (the poor gets richer), has received substantial empirical support where individuals who suffer from psychosocial problems were more likely to use SNSs for social skills compensation (Barker, 2009; Kuss and Griffiths, 2011; Teppers et al., 2014).
Third, the instant accessibility to peers through SNSs platforms incentivizes adoles- cents’ desire for online peer connection compared to offline social interaction; this in the long run may create an unhealthy dependence on SNSs (Davis, 2013). The instant acces- sibility to social networks facilitates online peer communication, which is the degree to which adolescents are motivated to go online to maintain their friendships (Davis, 2013). The unobstructed access to peers via SNSs may increase the chances of developing dependency on such platforms for interpersonal relationships. This is not surprising as scholars have found that the use of SNSs can create a sense of online social connected- ness (Grieve et al., 2013), which serve as a psychological incentive for increased SNSs usage.
Macrosystem—normalization of the surveillance culture
Apart from immediate interpersonal influences, scholars should also examine the gen- eral environment where individuals are situated (macrosystem) in facilitate the growth of addictive tendencies toward SNSs. One of the macrosystems that could influence the addictive trajectory of individuals on SNSs is the normalization of the interpersonal surveillance culture resulting from the proliferation of SNSs use. Surveillance is an unobtrusive, habitual, and purposeful collection of information from people (Lyon, 2001). The idea of surveillance is not new—surveillance research predates the SNSs era as contemporary societies are by themselves surveillance driven (Murakami and Webster, 2009). Traditionally, surveillance research was concerned with the interplay of relationships among hierarchical classes, typically between the watcher (those endowed with hierarchical power) and the watched (Monahan, 2011). This was known as vertical surveillance.
When SNSs became popular, it greatly altered the surveillance landscape by democ- ratizing surveillance. Now, surveillance is not a function exclusive to the elites anymore, and this phenomenon is integrated into everyday social interaction. As media products become domesticated (e.g. mobile phones and computers), there is a shift from vertical to lateral surveillance (Andrejevic, 2006; Trottier, 2012). A simple way to understand lateral surveillance is to think of it as social monitoring—where individuals seek to find out more information about people in their network.
So how is the culture of interpersonal surveillance a contributing factor to problematic SNSs use? The climate of interpersonal surveillance is more pronounced in adolescents as it facilitates the developmental task of identity formulation through online social com- parison with peers and control of self-presentation. As SNSs provide adolescents with a
Lee et al. 319
plethora of information about their friends, what they like and their interests (Mussweiler et al., 2006), information that were only obtainable via physical social interaction could now be retrieved on SNSs by only lateral surveillance.
Implications for future communication theorizing
By acknowledging that the elements within adolescents’ micro- and macro-systems could partially explain why adolescents develop problematic SNSs use, we highlight the need to build communication theories that account for both external and individ- ual level influences on problematic SNSs use. To do so, scholars should consider incorporating a network perspective in understanding the phenomenon of problematic SNSs use (Zhang and Leung, 2014). The fundamental assumption of having a net- work perspective is that individuals are not as independent as we think—we are all nested in different networks, and the actions of others could have a significant bearing over ours. Research has largely support this notion that individuals’ behavior mirror the actions of people in their social networks—the type of social networks where individuals are situated in does explain why they do or do not develop problematic addictive behaviors such as smoking or tobacco usage (e.g. Mason et al., 2010; Mercken et al., 2010).
There are multiple ways of approaching problematic SNSs use from a network per- spective. First, researchers may extend existing communication theories by accounting for how macro- and micro-systems, together with individual level psychological con- structs, synergistically relate to adolescent’s problematic SNSs use. This approach is commonly known as the actor–partner interdependence model (APIM) (Kenny et al., 2006; Ledermann et al., 2011), where variances in outcome variables are postulated as a function of both actors (the individuals themselves) and partners (parents and peers). For instance, apart from examining how psychosocial problems relate to problematic SNSs use through deficient self-regulation (a core premise of the social cognitive model), researchers could extend the social cognitive model by incorporating the quality of par- ent and peer relationships as explanatory factors. This is consistent with existing research that has suggested that relationships with parents and peers are associated with adoles- cents’ self-regulation (Farley and Kim-Spoon, 2014).
Second, to account for how macrosystem—specifically the surveillance culture— influences adolescents’ problematic SNSs use, researchers may consider using a net- work-based approach for data collection in addition to self-reports. This allows for a bird’s eye view of adolescents’ problematic SNSs use in relation to the environment they are situated in. We propose that three possible types of networks could be con- structed—(a) surveillance network (the tendency to use SNSs for lateral surveillance), (b) the dependence on SNSs for identity construction (e.g. self-presentation), and (c) problematic SNSs use network. These three networks could be constructed by asking adolescents to rank their peers (e.g. An and Doan, 2015) in order of their perceived tendency to use SNSs for surveillance, the level of dependency on SNS for identity construction, and their problematic SNSs use. The construction of different networks would give a macro-view of the degree of problematic SNSs usage that self-reports would not be able to.
320 new media & society 19(2)
Conclusion
Like all emerging fields, problematic SNSs use as an area of research currently lacks clarity in terms of the explication of its terms despite a plethora of theoretical perspec- tives that could be imported from Internet addiction research. This study has provided a review of addiction research, explicated what problematic SNSs use is and identified some possible theoretical extensions that could be used in this area.
Despite our best efforts, this review is by no means exhaustive. For instance, in strictly keeping to our theoretical focus on why adolescents may develop problematic SNSs use, we did not explore how these theories suggest mitigating problematic SNSs use. Second, we largely examine problematic SNSs use in the context of adolescents; however, there is emerging evidence that it may be a problem among adults as well (e.g. Oldmeadow et al., 2012). Last but not least, while we suggest that future research should incorporate a network-based approach to understanding the phenomenon, we recognize that scholars need to have a significant amount of resources to overcome the administrative and logistical constraints if they want to collect data from adoles- cents’ parents and peers.
The field of problematic SNSs use is at its infancy stage, and there is much more work to be done to achieve a holistic understanding of problematic SNSs use. We certainly hope that communication researchers find this review useful in providing a brief sum- mary of the field and consider adopting some of our recommendations laid out in this article. As more scholars embark on research in this area, we are confident that the qual- ity of communication theories in addressing the issue of addictive tendencies to SNSs or any other new media platforms will improve significantly; this will greatly enrich our understanding of the problematic media use phenomenon and advance theory building in communication research.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
Notes
1. While we argue that problematic use is a preferred term in this article, we do not advocate a puritanical and dogmatic use of the term as we recognize that all concepts are often subjected to evolutionary progress in accordance to societal and technological changes.
2. As this article is not meant to be a thorough discussion on Bronfenbrenner’s ecological the- ory, only relevant aspects of micro- and macro-system’s influence on problematic SNSs use are discussed.
References
Alabi OF (2013) A survey of Facebook addiction level among selected Nigerian university under- graduates. New Media and Mass Communication 10(2012): 70–80.
Allen JP and Antonishak J (2008) Adolescent peer influences: beyond the dark side. In: Prinstein MJ and Dodge KA (eds) Understanding Peer Influence in Children and Adolescents. New York: Guilford Press, pp. 141–160.
Lee et al. 321
American Psychiatric Association (2013) Substance-related and addictive disorders. Available at: http://www.dsm5.org/documents/substance%20use%20disorder%20fact%20sheet.pdf (accessed 14 April 2016).
Amichai-hamburger Y and Vinitzky G (2010) Social network use and personality. Computers in Human Behavior 26(6): 1289–1295. Available at: http://dx.doi.org/10.1016/j.chb.2010.03.018
An W and Doan L (2015) Health surveillance through social networks. Social Networks 42: 8–17. Andreassen CS and Pallesen S (2014) Social network site addiction: an overview. Current
Pharmaceutical Design 20(25): 4053–4061. Andreassen CS, Torsheim T, Brunborg GS, et al. (2012) Development of a Facebook addiction
scale. Psychological Reports 110(2): 501–517. Andrejevic M (2006) The discipline of watching: detection, risk, and lateral surveillance. Critical
Studies in Media Communication 23(5): 391–407. Baker RK and White KM (2010) Predicting adolescents’ use of social networking sites from an
extended theory of planned behaviour perspective. Computers in Human Behavior 26(6): 1591–1597. Available at: http://dx.doi.org/10.1016/j.chb.2010.06.006
Balakrishnan V and Shamim A (2013) Malaysian facebookers: motives and addictive behaviours unraveled. Computers in Human Behavior 29(4): 1342–1349. Available at: http://dx.doi. org/10.1016/j.chb.2013.01.010
Bandura A (1986) Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.
Bandura A (2001) Social cognitive theory of mass communication. Media Psychology 3(3): 265– 299. Available at: http://dx.doi.org/10.1207/S1532785XMEP0303_03
Barker V (2009) Older adolescents’ motivations for social network site use: the influence of gender, group identity, and collective self-esteem. Cyberpsychology, Behavior, and Social Networking 12(2): 209–213.
Baumrind D (1991) The influence of parenting style on adolescent competence and substance use. The Journal of Early Adolescence 11(1): 56–95.
Byun S, Ruffini C, Mills JE, et al. (2009) Internet addiction: metasynthesis of 1996–2006 quantita- tive research. Cyberpsychology, Behavior, and Social Networking 12(2): 203–207.
Caci B, Cardaci M, Tabacchi ME, et al. (2014) Personality variables as predictors of Facebook usage. Psychological Reports 114(2): 528–539. Available at: http://www.amsciepub.com/ doi/abs/10.2466/21.09.PR0.114k23w6
Caplan SE (2002) Problematic Internet use and psychosocial well-being: development of a theory- based cognitive–behavioral measurement instrument. Computers in Human Behavior 18(5): 553–575.
Caplan SE (2003) Preference for online social interaction: a theory of problematic Internet use and psychosocial well-being. Communication Research 30(6): 625–648.
Caplan SE (2005) A social skill account of problematic Internet use. Journal of Communication 55(4): 721–736.
Caplan SE (2010) Theory and measurement of generalized problematic internet use: a two-step approach. Computers in Human Behavior 26(5): 1089–1097. Available at: http://dx.doi. org/10.1016/j.chb.2010.03.012
Caplan SE and High AC (2012) Online social interaction, psychosocial well-being, and problem- atic internet use. In: Young KS and De Abreu CN (eds) Internet Addiction: A Handbook and Guide to Evaluation and Treatment. Hoboken, NJ: John Wiley & Sons, pp. 35–53.
Cheong WDC, Choo H and Khoo A (2011) Role of parental relationships in pathological gaming. Procedia—Social and Behavioral Sciences 30(2011): 1230–1236.
Choukas-bradley MS, Giletta G, Cohen ML, et al. (2015) Peer influence, peer status, and prosocial behavior: an experimental investigation of peer socialization of adolescents’ intentions to
322 new media & society 19(2)
volunteer. Journal of Youth and Adolescence 44(12): 2197–2210. Available at: http://dx.doi. org/10.1007/s10964-015-0373-2
Clark LS (2011) Parental mediation theory for the digital age. Communication Theory 21(4): 323–343.
Davis K (2013) Young people’s digital lives: the impact of interpersonal relationships and digital media use on adolescents’ sense of identity. Computers in Human Behavior 29(6): 2281–2293. Available at: http://dx.doi.org/10.1016/j.chb.2013.05.022
Davis RA (2001) Cognitive-behavioral model of pathological internet use. Computers in Human Behavior 17(2): 187–195.
Doty J and Dworkin J (2014) Parents’ of adolescents use of social networking sites. Computers in Human Behavior 33: 349–355.
Farley JP and Kim-Spoon J (2014) The development of adolescent self-regulation: reviewing the role of parent, peer, friend, and romantic relationships. Journal of Adolescence 37(4): 433–440. Available at: http://dx.doi.org/10.1016/j.adolescence.2014.03.009
Fitzpatrick MA, Marshall LJ and Leutwiler TJ (1996) The effect of family communication envi- ronments on children’s social behavior during middle childhood. Communication Research 23(4): 379–406.
Floros G and Siomos K (2013) The relationship between optimal parenting, Internet addiction and motives for social networking in adolescence. Psychiatry Research 209(3): 529–534.
Giannakos MN, Chorianopoulos K, Giotopoulos K, et al. (2012) Using Facebook out of habit. Behaviour & Information Technology 32(6): 594–602.
Grant JE, Brewer JA and Potenza MN (2006) The neurobiology of substance and behavioral addic- tions. CNS Spectrums 11(12): 924–930.
Grant JE, Potenza MN, Weinstein A, et al. (2010) Introduction to behavioral addictions. American Journal of Drug and Alcohol Abuse 36(5): 233–241.
Grieve R, Indian M, Witteveen K, et al. (2013) Face-to-face or Facebook: can social connected- ness be derived online? Computers in Human Behavior 29(3): 604–609. Available at: http:// dx.doi.org/10.1016/j.chb.2012.11.017
Griffiths MD (2013) Social networking addiction: emerging themes and issues. Journal of Addiction Research & Therapy 4(5): 4–5.
Griffiths MD and Kuss DJ (2015) Online addictions: gambling, video gaming, and social network- ing. In: Sundar SS (ed.) The Handbook of the Psychology of Communication Technology. Chichester: John Wiley & Sons, pp. 384–403.
Griffiths MD, Kuss DJ and Demetrovics Z (2014) Social networking addiction: an overview of preliminary findings. In: Rosenberg KP and Feder LC (eds) Behavioral Addictions: Criteria, Evidence, and Treatment. San Diego, CA: Elsevier Academic Press, pp. 119–141.
Gunuc S and Dogan A (2013) The relationships between Turkish adolescents’ internet addiction, their perceived social support and family activities. Computers in Human Behavior 29(6): 2197–2207. Available at: http://dx.doi.org/10.1016/j.chb.2013.04.011
Ho RC, Zhang MWB, Tsang TY, et al. (2014) The association between Internet addiction and psy- chiatric co-morbidity: a meta-analysis. BMC Psychiatry 14(183): 1–24. Available at: http:// www.biomedcentral.com/1471-244X/14/183
Huang RL, Lu Z, Liu JJ, et al. (2009) Features and predictors of problematic Internet use in Chinese college students. Behaviour & Information Technology 28(5): 485–490.
Hughes DJ, Rowe M, Batey M, et al. (2012) A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior 28(2): 561–569. Available at: http://dx.doi.org/10.1016/j.chb.2011.11.001
Kenny DA, Kashy DA and Cook WL (2006) Dyadic Data Analysis. New York: Guilford Press.
Lee et al. 323
Kim J and Lee JER (2011) The Facebook paths to happiness: effects of the number of Facebook friends and self-presentation on subjective well-being. Cyberpsychology, Behavior, and Social Networking 14(6): 359–364.
Kittinger R, Correia CJ and Irons JG (2012) Relationship between Facebook use and problem- atic Internet use among college students. Cyberpsychology, Behavior, and Social Networking 15(6): 324–327.
Ko CH, Liu GC, Yen JY, et al. (2013) The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with Internet gaming addiction and nicotine dependence. Journal of Psychiatric Research 47(4): 486–493. Available at: http://dx.doi. org/10.1016/j.jpsychires.2012.11.008
Koc M and Gulyagci S (2013) Facebook addiction among Turkish college students: the role of psychological health, demographic, and usage characteristics. Cyberpsychology, Behavior, and Social Networking 16(4): 279–284. Available at: http://online.liebertpub.com/doi/ abs/10.1089/cyber.2012.0249
Kuss DJ and Griffiths MD (2011) Online social networking and addiction–a review of the psycho- logical literature. International Journal of Environmental Research and Public Health 8(9): 3528–3552.
LaRose R (2010) The problem of media habits. Communication Theory 20(2): 194–222. LaRose R and Eastin MS (2004) A social cognitive theory of Internet uses and gratifications:
toward a new model of media attendance. Journal of Broadcasting & Electronic Media 48(3): 358–377.
LaRose R, Kim J and Peng W (2010) Social networking: addictive, compulsive, problematic, or just another media habit. In: Papacharissi Z (ed.) A Networked Self: Identity, Community, and Culture on Social Network Sites. New York: Routledge, pp. 59–81.
LaRose R, Lin CA and Eastin MS (2003) Unregulated Internet usage: addiction, habit, or deficient self-regulation? Media Psychology 5(3): 225–253.
Lauricella AR, Cingel DP, Blackwell C, et al. (2014) The mobile generation: youth and adoles- cent ownership and use of new media. Communication Research Reports 31(4): 357–364. Available at: http://www.tandfonline.com/doi/abs/10.1080/08824096.2014.963221
Ledermann T, Macho S and Kenny DA (2011) Assessing mediation in dyadic data using the actor- partner interdependence model. Structural Equation Modeling: A Multidisciplinary Journal 18(4): 595–612.
Lee D and LaRose R (2007) A socio-cognitive model of video game usage. Journal of Broadcasting & Electronic Media 51(4): 632–650.
Lee J, Lee M and Choi IH (2012) Social network games uncovered: motivations and their attitu- dinal and behavioral outcomes. Cyberpsychology, Behavior, and Social Networking 15(12): 643–648.
Lee SJ and Chae YG (2007) Children’s Internet use in a family context: influence on family rela- tionships and parental mediation. Cyberpsychology, Behavior, and Social Networking 10(5): 640–644.
Li X, Li D and Newman J (2013) Parental behavioral and psychological control and problematic internet use among Chinese adolescents: The mediating role of self-control. Cyberpsychology, Behavior and Social Networking 16(6): 442–447.
Lu HY (2008) Sensation-seeking, internet dependency, and online interpersonal deception. Cyberpsychology, Behavior, and Social Networking 11(2): 227–231.
Lyon D (2001) Surveillance Society: Monitoring Everyday Life. Buckingham: Open University Press.
McHale SM, Dotterer A and Kim JY (2009) An ecological perspective on the media and youth development. American Behavioral Scientist 52(8): 1186–1203.
324 new media & society 19(2)
Marlatt GA, Baer JS, Donovan DM, et al. (1988) Addictive behaviors: etiology and treatment. Annual Review of Psychology 39(1): 223–252.
Martinez de Morentin JI, Cortes A, Medrano C, et al. (2014) Internet use and parental mediation: A cross-cultural study. Computers & Education 70: 212–221.
Mason MJ, Valente TW, Coatsworth JD, et al. (2010) Place-based social network quality and cor- relates of substance use among urban adolescents. Journal of Adolescence 33(3): 419–427. Available at: http://dx.doi.org/10.1016/j.adolescence.2009.07.006
Mauri M, Cipresso P and Balgera A (2011) Why is Facebook so successful ? Psychophysiological measures describe a core flow state while using Facebook. Cyberpsychology, Behavior, and Social Networking 14(12): 723–731.
Meece JL and Daniels DH (2008) Child and Adolescent Development for Educators. New York: McGraw-Hill.
Meena PS, Mittal PK and Solanki RK (2012) Problematic use of social networking sites among urban school going teenagers. Industrial Psychiatry Journal 21(2): 94–97.
Mercken L, Snijders TAB, Steglich, et al. (2010) Dynamics of adolescent friendship networks and smoking behavior. Social Networks 32(1): 72–81.
Monahan T (2011) Surveillance as cultural practice. Sociological Quarterly 52(4): 495–508. Montgomery C, Fisk JE and Craig L (2008) The effects of perceived parenting style on the pro-
pensity for illicit drug use: the importance of parental warmth and control. Drug and Alcohol Review 27(6): 640–649.
Murakami WD and Webster CWR (2009) Living in surveillance societies: the normalisation of surveillance in Europe and the threat of Britain’s bad example. Journal of Contemporary European Research 5(2): 259–273.
Mussweiler T, Ruter K and Epstude K (2006) The why, who, and how of social comparison: a social-cognition perspective. In: Guimond S (ed.) Social Comparison and Social Psychology. New York: Cambridge University Press, pp. 33–54.
Nadkarni A and Hofmann SG (2012) Why do people use Facebook? Personality and Individual Differences 52(3): 243–249. Available at: http://dx.doi.org/10.1016/j.paid.2011.11.007
Neo RL and Skoric MM (2009) Problematic instant messaging use. Journal of Computer-Mediated Communication 14(3): 627–657.
Oldmeadow JA, Quinn S and Kowert R (2012) Attachment style, social skills, and Facebook use amongst adults. Computers in Human Behavior 29(3): 1142–1149. Available at: http://dx.doi. org/10.1016/j.chb.2012.10.006
Özguven N and Mucan B (2013) The relationship between personality traits and social media use. Social Behavior and Personality 41(3): 517–528.
Panek E (2014) Evidence for the effects of parental mediation and childhood media use on US col- lege students’ social media use. Journal of Children and Media 8(2): 127–145.
Pelling EL and White KM (2009) The theory of planned behavior applied to young people’s use of social networking web sites. Cyberpsychology, Behavior, and Social Networking 12(6): 755–759.
Peng W and Liu M (2010) Online gaming dependency: a preliminary study in China. Cyberpsychology, Behavior, and Social Networking 13(3): 329–333.
Perrin A (2015) Social media usage. Pew Research Center. Available at: http://www.pewinternet. org/2015/10/08/social-networking-usage-2005-2015/
Prencipe A, Kesek A, Cohen J, et al. (2011) Development of hot and cool executive function dur- ing the transition to adolescence. Journal of Experimental Child Psychology 108(3): 621–637. Available at: http://dx.doi.org/10.1016/j.jecp.2010.09.008
Rosengren KE (1993) From field to frog ponds. Journal of Communication 43(3): 6–17.
Lee et al. 325
Ross C, Orr ES, Sisic M, et al. (2009) Personality and motivations associated with Facebook use. Computers in Human Behavior 25(2): 578–586. Available at: http://dx.doi.org/10.1016/j. chb.2008.12.024
Santrock JW (2007) Child Development. New York: McGraw-Hill. Santrock JW (2008) Adolescence. New York: McGraw-Hill. Santrock JW (2009) Life-span Development. 12th ed. New York: McGraw-Hill. Schwinn TM and Schinke SP (2014) Alcohol use and related behaviors among late-adolescent
urban youths: peer and parent influences. Journal of Child & Adolescent Substance Abuse 23(1): 58–64.
Siomos K, Floros G, Fisoun V, et al. (2012) Evolution of internet addiction in Greek adoles- cent students over a two-year period: the impact of parental bonding. European Child & Adolescent Psychiatry 21(4): 211–219.
Skues JL, Williams B and Wise L (2012) The effects of personality traits, self-esteem, loneliness, and narcissism on Facebook use among university students. Computers in Human Behavior 28(6): 2414–2419. Available at: http://dx.doi.org/10.1016/j.chb.2012.07.012
Slater MD and Henry KL (2013) Prospective influence of music-related media exposure on adolescent substance-use initiation: a peer group mediation model. Journal of Health Communication: International Perspectives 18(3): 291–305.
Sussman S, Lisha N and Griffiths M (2011) Prevalence of the addictions: a problem of the majority or the minority? Evaluation & the Health Professions 34(1): 3–56.
Teppers E, Luyckx K, Klimstra TA, et al. (2014) Loneliness and Facebook motives in adolescence: a longitudinal inquiry into directionality of effect. Journal of Adolescence 37(5): 691–699. Available at: http://dx.doi.org/10.1016/j.adolescence.2013.11.003
Trottier D (2012) Interpersonal surveillance on social media. Canadian Journal of Communication 37(2): 319–332.
Valcke M, Bonte S, De Wever B, et al. (2010) Internet parenting styles and the impact on Internet use of primary school children. Computers & Education 55(2): 454–464. Available at: http:// dx.doi.org/10.1016/j.compedu.2010.02.009
Yan W, Li Y and Sui N (2014) The relationship between recent stressful life events, personality traits, perceived family functioning and Internet addiction among college students. Stress and Health 30(1): 3–11.
Yellowlees PM and Marks S (2007) Problematic Internet use or Internet addiction? Computers in Human Behavior 23(3): 1447–1453.
Young KS (1998) Internet addiction: the emergence of a new clinical disorder. Cyberpsychology, Behavior, and Social Networking 1(3): 237–244. Available at: http://online.liebertpub.com/ doi/abs/10.1089/cpb.1998.1.237
Young KS (2004) Internet addiction: a new clinical phenomenon and its consequences. American Behavioral Scientist 48(4): 402–415.
Young KS, Yue XD and Ying L (2007) Prevalence estimates and etiologic models of Internet addiction. In: Young KS and De Abreu CN (eds) Internet Addiction: A Handbook and Guide to Evaluation and Treatment. Hoboken, NJ: John Wiley & Sons, pp. 1–17. Available at: http://dx.doi.org/10.1002/9781118013991.ch1
Zhang Y and Leung L (2015) A review of social networking service (SNS) research in communi- cation journals from 2006 to 2011. New Media & Society 17(7): 1007–1024.
Zhu J, Zhang W, Yu C, et al. (2015) Early adolescent Internet game addiction in context: how par- ents, school, and peers impact youth. Computers in Human Behavior 50: 159–168. Available at: http://dx.doi.org/10.1016/j.chb.2015.03.079
326 new media & society 19(2)
Author biographies
Edmund W J Lee (Master of Communication Studies, Nanyang Technological University) is a PhD candidate in the Wee Kim Wee School of Communication and Information at Nanyang Technological University. His research focuses on the impact of big data and new media on com- munication phenomenon in the context of health, science, and environmental sustainability. His prior work has appeared in the Journal of Health Communication: International Perspectives, Health Communication, and Science Communication.
Shirley S Ho (PhD, University of Wisconsin-Madison) is an Associate Professor and Assistant Chair (Faculty) in the Wee Kim Wee School of Communication and Information at Nanyang Technological University. Her research focuses on the psychological health of children, adoles- cents, and adults on social media, as well as public perception of science and emerging technolo- gies. Her work has appeared in such journals as Communication Research, New Media & Society, Journal of Health Communication, and Science Communication.
May O Lwin (PhD, National University of Singapore) is Associate Dean of the College of Humanities, Arts, and Social Sciences and a Professor with the Wee Kim Wee School of Communication and Information in Nanyang Technological University. Her research focuses on strategic communication and how digital communication can influence food intake, exercise, and developmental health. Her work has appeared in such journals as Journal of Communication, Journal of Health Communication, Health Communication, Journal of Adolescence and Computers in Human Behavior.