The dark side of social media: Stalking, online self‐disclosure and problematic sleep

Abstract

The proliferation of social media usage has led to the manifestation of certain negative behaviours that are now referred to as the ‘dark side’ of social media use. These behaviours are a matter of concern, as they are detrimental to people's well‐being. The present study examines the empirical association among social media stalking, online self‐disclosure, social media sleep hygiene, compulsive social media use and problematic sleep, most of which have been previously recognized as key dark side behaviours. While social media stalking is a relatively new and under‐explored phenomenon, its predecessor, the much‐castigated cyberstalking, has received sufficient scholarly attention. This study's hypothesized associations are grounded in cognitive‐behavioural theory, self‐awareness theory and problem behaviour theory, which we test using cross‐sectional data from 876 social media users. We further control for age and gender. The findings suggest that stalking and online self‐disclosure drive compulsive use and poor sleep hygiene, with stalking being the chief driver in both cases. Problematic sleep is influenced by stalking, compulsive use and poor sleep hygiene, with sleep hygiene having the strongest effect, while poor sleep hygiene and compulsive use also partially mediate the association of both stalking and online self‐disclosure with problematic sleep.

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Int J Consum Stud. 2021;45:1373–1391.
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1 | INTRODUCTION
Social media platforms include social networking sites such as
Facebook, Instagram, LinkedIn and Snapchat (Kane, 2017). In addi-
tion to offering tremendous opportunities for communication, so-
cial media also serves as a channel for social change (Yannopoulou
et al., 2019) and product promotion (Sreejesh et al., 2020). Though
these online modes of communication have transformed the way
individuals interact, yet, they have also raised various concerns
(Lim et al., 2012). The extensive usage of different social media
platforms to satisfy various social needs in the online environment
has exposed users to several issues, such as social media fatigue,
sleep problems, compulsive use, online regret and fear of missing
out (Dhir et al., 2019). These negative outcomes are collectively re-
ferred to as the ‘dark side’ of social media (Baccarella et al., 2018;
Talwar et al., 2019). Scholars (e.g., Dhir et al., 2018) have noted that
Received: 23 March 2020
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Revised: 1 January 2021
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Accepted: 9 January 2021
DOI : 10.1111 /ij cs .12659
ORIGINAL ARTICLE
The dark side of social media: Stalking, online self- disclosure
and problematic sleep
Amandeep Dhir1,2,3 | Shalini Talwar4 | Puneet Kaur3,5 | Sunil Budhiraja6 |
Najmul Islam7
This is an op en access article under t he terms of the Creat ive Commons Attributio n License, which permits use, dist ribution and reproduc tion in any medium,
provide d the orig inal work is proper ly cited .
© 2021 The Authors. International Jo urnal of Consumer Studies publishe d by John Wiley & Sons Ltd .
1Department of Management, School
of Busine ss & Law, University of Agder,
Kristiansand, Norway
2Norwegian School of Hotel Management,
University of Stavanger, Stavanger, Norway
3Optentia Research Focus Area, Nor th- West
University, Vander bijlpark, South Afric a
4K J Somaiy a Instit ute of Management,
Somaiy a Vidyavihar Universit y, Mumbai,
India
5Department of Psychosocial Science,
University of Bergen, Be rgen, No rway
6Symbiosis Centre for Management Studies,
SIU, Nagp ur, India
7Depar tment of Future Technol ogies,
University of Turku, Turku, Finla nd
Correspondence
Amandeep Dhir, Dep artment of
Managem ent, School of Business & Law,
University of Agder, Krist iansan d, Nor way.
Email: amandeep.dhir@uia.no
Abstract
The proliferation of social media usage has led to the manifestation of certain nega-
tive behaviours that are now referred to as the ‘dark side’ of social media use. These
behaviours are a matter of concern, as they are detrimental to people's well- being.
The present study examines the empirical association among social media stalking,
online self- disclosure, social media sleep hygiene, compulsive social media use and
problematic sleep, most of which have been previously recognized as key dark side
behaviours. While social media stalking is a relatively new and under- explored phe-
nomenon, its predecessor, the much- castigated cyberstalking, has received sufficient
scholarly attention. This study's hypothesized associations are grounded in cognitive-
behavioural theory, self- awareness theory and problem behaviour theory, which we
test using cross- sectional data from 876 social media users. We further control for
age and gender. The findings suggest that stalking and online self- disclosure drive
compulsive use and poor sleep hygiene, with stalking being the chief driver in both
cases. Problematic sleep is influenced by stalking, compulsive use and poor sleep
hygiene, with sleep hygiene having the strongest effect, while poor sleep hygiene
and compulsive use also partially mediate the association of both stalking and online
self- disclosure with problematic sleep.
KEYWORDS
compulsive social media use, problematic sleep, sleep hygiene, social media stalking,
structural equation modelling

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these dark aspects have brought significant threats to the well- being
of social media users. Notably, prior studies have confirmed that
continuous engagement with social media platforms makes users
vulnerable to various impairments related to their personal and pro-
fessional lives (Woods & Scott, 2016). For instance, the dark aspects
of social media use, such as fear of missing out, are inversely associ-
ated with quality of life measures (Elhai et al., 2018). Similarly, a lack
of sleep impacts health and cause depression and anxiet y (Garett
et al., 2018). These concerns have motivated scholars to investi-
gate the possible connections between wellness and the negative
aspects of social media use, such as technostress (Lee et al., 2014),
stress and exhaustion (Luqman et al., 2017), compulsive social media
use (e.g., Tandon et al., 2020), problematic social media use (e.g.,
Ahmed et al., 2021), social media addiction (e.g., Lundahl, 2020) and
sleep and social relation problems (Salo et al., 2019).
Despite the existing findings, which reveal the adverse impact
of the dark side behavioural manifestations on social media users’
well- being, individuals’ engagement with social media platforms has
continued to rise in the recent past. For instance, the active users of
Instagram, a popular platform that allows the sharing and viewing of
videos and photos, has grown immensely in the past few years, with
1,158 million active users as of July 2020 (Statista, 2020). Such an
alarming increase in the use of social media, which has become ob-
sessive by both circumstantial accounts and in- depth research find-
ings, points towards an immediate exigency of more research in the
area (Aladwani & Almarzouq, 2016). In this context, scholars contend
that the knowledge of social media's dark side can be enriched by
further diagnosing such manifestations and their mutual dynamics
(e.g., Royant- Parola et al., 2018; Tandon et al., 2020). For instance,
the association bet ween the compulsive use of social media and
problematic sleep, which has so far been under- explored, can offer
useful insights (e.g., Milyavskaya et al., 2018; Rzewnicki et al., 2020).
Since social media platforms are largely used for net working and
interacting with people online, the primary reasons behind their use
are sharing information about one's self and t aking an interest in
information shared by others. The motivation to share information
about the self and seek information about others drives the usage of
social media platforms (Dhir et al., 2019), making it potentially mal-
adaptive and detrimental to individuals’ well- being. It thus follows
that the dark aspect of social media platforms used may be better il-
luminated through a more in- depth enquiry into information- seeking
and sharing behaviour. In this context, the literature reveals that
sharing and viewing on social media platforms are linked to two par-
ticular online behaviours, among others: (a) online self- disclosure or
information sharing, and (b) a newer, growing phenomenon called
social media stalking or information- seeking.
An integral par t of social media user behaviour, online self-
disclosure is the intentional or unintentional disclosure of personal
information on social media plat forms for different reasons, such as
self- presentation (Dhir, 2016). Although online self- disclosure is not
a problem in itself, if the behaviour becomes compulsive (e.g., by the
constant sharing of day- to- day routine- related details), then, it can
fuel significant adverse outcomes such as sleep problems (Woods
& Scott, 2016). The other aspect of social media behaviour, social
media stalking, refers to the impulsive, continuous checking of oth-
ers’ social media profiles (Fox, 2015), spending too much time on
checking others’ profiles and activities on social media platforms
(Hollenbaugh & Ferris, 2014) or consistently returning to a particular
user's profile (Lyndon et al., 2011). Social media stalking behaviour,
which may also be intentional or unintentional, may arguably be pro-
pelled by cer tain voyeuristic tendencies and motives (Mäntymäki &
Islam, 2016; Salo et al., 2018) to collect more and more information
about another person's life through social media channels.
The desire to share and know more about others has reached a
level where social media stalking can now be identified as a prom-
inent risk associated with sharing personal information and using
social media. Though social media stalking specifically has been
under- explored, researchers have undertaken several studies in the
past decade to comprehend different online stalking behaviours
(Bogolyubova et al., 2018). Online stalking or cyberstalking has
grave consequences for victims (Chaulk & Jones, 2011) and is time-
consuming for stalkers (Kircaburun et al., 2018). The findings of such
studies, however, cannot be extrapolated to social media stalking
because social media stalking is different from cyberstalking: social
media stalking is limited to the surveillance or checking of others’
social media accounts for information, social understanding and
relationships.
Drawing upon the preceding discussion, the present study makes
a timely ef fort to augment the body of emerging literature in the
area by attempting to provide more nuanced insights related to on-
line information sharing and seeking behaviour of social media users
and the adverse outcomes therein. Furthermore, we identify com-
pulsive social media use, social media sleep hygiene and problem-
atic sleep as the possible adverse outcomes of information sharing
(i.e., online self- disclosure) and information- seeking (i.e., social media
stalking), in line with Tandon et al. (2020). Specifically, the study
identifies the following gaps in social media user- behaviour research
that should be addressed: first, while online self- disclosure is well-
documented as a key behaviour associated with social media usage,
the examination of its dark side effects, such as compulsive use and
sleep issues, can enhance the understanding related to information
sharing and its potential negative fallout for users. Second, while
cyberstalking has been investigated extensively by prior studies, its
benign form, that is, social media stalking, needs to be investigated
more to better explicate how the online information- seeking be-
haviour of social media users can lead to adverse outcomes, such as
the compulsive use and sleep issues mentioned above. Third, since
seminal behavioural theories hold that a problematic behaviour may
lead to another, the use of these theories to postulate the dynamics
and complexity of interaction among various manifestations of the
dark side of social media use can be quite valuable for encouraging
future research in the area.
The present study addresses these gaps by exploring several
factors. First, we explore the dark side of online self- disclosure
and social media stalking. Second, we examine the association of
these two behaviours with other negative aspects of social media

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use— compulsive social media use and sleep problems— wherein sleep
problems are measured using two different conceptualizations: so-
cial media sleep hygiene and problematic sleep. Third, we look at the
mediation effect of social media sleep hygiene and compulsive social
media use on the association of social media st alking and online self-
disclosure with problematic sleep. The hypotheses that constitute
the underlying research model have been developed based on three
behavioural theories: cognitive- behavioural theory (Caplan, 2003;
Davis, 2001), self- awareness theory (Duval & Wicklund, 1972) and
problem behaviour theory (Jessor & Jessor, 1977). We test the pro-
posed model using cross- sectional data from 876 social media users.
We aim to answer three research questions (RQs) based on these
hypotheses, as follows:
RQ1: Are online self- disclosure and social media
stalking associated with poor social media sleep hy-
giene, compulsive social media use and problematic
sle ep?
RQ2: Are poor social media sleep hygiene and com-
pulsive social media use associated with problematic
sle ep?
RQ3: Do poor social media sleep hygiene and com-
pulsive social media use mediate the effect of online
self- disclosure and social media stalking on problem-
atic sl eep?
The rest of the article is structured as follows: Section 2 discusses
the study's theoretical background and hypothesis development,
Section 3 presents the data and methods, Section 4 illustrates the
results and Section 5 presents the discussion, implications, limitation
and scope for future research. Finally, the conclusion is presented in
Section 6.
2 | LITERATURE, THEORETICAL
BACKGROUND AND HYPOTHESES
DEVELOPMENT
2.1 | Social media stalking
In the past two decades, scholars have undert aken several studies
to understand different online stalking behaviours. Online stalking/
cyberstalking, which represents antisocial and aggressive online
behaviour (Bogolyubova et al., 2018), is different from social media
stalking, a term used in the present study to describe intentional or
unintentional information- seeking about others on the social media
platforms. The social media surveillance and information- seeking
of others, as distinguished from cyberstalking, goes by different
names in the extant literature, including Facebook stalking (Lyndon
et al., 2011), social surveillance (Mar wick, 2012) and interpersonal
surveillance (Tokunaga, 2015). Some prior scholars (e.g., Tokunaga
& Gustafson, 2014) have also differentiated between online surveil-
lance and general information- seeking about others on social media
platforms based on motivation and intent. Scholars have also argued
that surveillance is driven by specific relational contexts, as op-
posed to online information- seeking that is incited by curiosity (e.g.,
Hollenbaugh & Ferris, 2014).
In the context of the present study, three fundamental differ-
ences distinguish online stalking/cyberstalking from social media
stalking. First, online stalking comprises a perpetrator's recurrent
intrusive behaviour, which is not welcomed by his or her victims
and causes a sense of fear, as it embodies implicit or explicit threats
(Chaulk & Jones, 2011). In comparison, social media stalking also
involves a repeated pattern of intrusive behaviour. Still, it may or
may not be unwanted by the hosts, as social media stalking does not
involve threats and the propagation of fear. Second, cyberstalking
refers to the deliberate chasing of an individual on the internet to
cause harm. In contrast, social media stalking is not always inten-
tional; instead, it is a part of the affordances offered by the platform.
Third, social media stalking is, in fac t, a subset of online or cyber-
stalking and represents its more benign form, which is confined to
checking others’ profiles on social media platforms (Hollenbaugh &
Ferris, 2014).
What makes social media stalking (whether intentional or unin-
tentional) a key concern is a contention that easy accessibilit y to per-
sonal information on social media platforms leaves users vulnerable
to surveillance and privacy breaches (Tokunaga, 2015). The threat of
such violations and monitoring could be more severe in the case of
romantic relationships (Marcum et al., 2016). Social media stalking
becomes a still more substantial threat because it is a subset of the
broader phenomenon of online stalking, which includes the deviant
surveillance of victims from a distance to direct threats and frequent
contact (Smoker & March, 2017). Prior research has revealed that
victims of cyberstalking suffer from anxiety and physical or mental
illness (e.g., Dreßing et al., 2014). Such behaviours have grave neg-
ative effects in terms of the intrusive violation and victimization of
the young people who are often targets of such stalking, particularly
by present and ex- partners (Borrajo et al., 2015).
Scholar s have also argued th at online interactions on soc ial media
have the scope for anonymity and pretence, which creates opportu-
nities for harassment and coercive control through monitoring from
a distance (Melander, 2010). Such harassment is dif ficult to avoid, as
it may come in the form of text messages. The ver y nature of social
media platforms creates opportunities for exhibiting stalking be-
haviour (Marcum et al., 2016). Intuitively, one could argue that there
is no way to prevent social media users’ behaviour from becoming
aggressive, thus, causing benign social media st alking to potentially
escalate to a point where it becomes intrusive and dangerous and
produces a tremendous impact on individuals and society in terms
of social relations and well- being. Given that scholars have only re-
cently acknowledged social media stalking as a form of stalking (e.g.,
Tokunaga, 2015), the phenomenon requires further consideration.
We have thus identified social media stalking in the present study
as a critical construct that represents problematic social media use.

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Drawing upon the extant findings in the present study, we de-
scribe and measure social media stalking as the tendency of social
media users to (1) check others’ profiles to see what they are up to,
(2) monitor others through their social media profiles, (3) spend the
majority of the time they spend on social media looking at others’
profiles and (4) gather information about others by looking at their
activities on social media platforms.
2.2 | Social media and sleep problems
A lack of sufficient sleep is a quickly emerging health concern
among students (Garett et al., 2018). While scholars recommend
that young adults obtain 7 to 9 hr of sleep daily to remain healthy
(Hirshkowitz et al., 2015), one study from 2017 found that around
50% of young people sleep less than 6 hr a night (Nasirudeen
et al., 2017). Given that an estimated 90% of young people use
social media day and night (Duggan & Smith, 2013), the limited,
often poor- quality sleep they do get can be linked to social media
use. Sleep- related issues further stem from mounting social media
use that has spilled over to night- time use as well (e.g., Exelmans
& Scott, 2019). Levenson et al. (2016), for exampl e, also confirm ed
the association bet ween sleep disturbance among young adults
and their social media use. The underlying problems include sleep
quantity (Arora et al., 2014), insomnia (Nursalam et al., 2019),
daytime sleepiness (van der Schuur et al., 2019), cognitive arousal
before sleeping (Scot t & Woods, 2018), sleep- hygiene issues
(Godsell & White, 2019) and delayed waking- up time (Bowler &
Bourke, 2019).
The present study considers two different types of behaviours re-
lated to sleep problems: social media sleep hygiene and problematic
sleep. Social media sleep hygiene represents sleep- related problems
stemming from poor sleep patterns due to the usage of social media.
We describe social media sleep hygiene as maintaining a consistent
sleep schedule, using social media in healthy ways and being aware of
the adver se influence of socia l media on sleep heal th. Poor social med ia
sleep hygiene practices imply checking posts and messages just before
sleeping or immediately upon waking and also getti ng up intermittent ly
throughout the night to check and respond to social media updates.
Fobian et al. (2016) revealed the negative impact of night- time social
media use on sleep and sleep hygiene. Problematic sleep includes vari-
ous sleep disruptions such as delayed sleep, inadequate sleep duration,
erratic patterns, chronotypes (i.e., people's typical sleep preferences)
and issues with the quality of sleep (Tao et al., 2017).
The present study proposes a measure to reflect these un-
healthy sleep habit s resulting from poor social media sleep hygiene.
The study interprets poor social media sleep hygiene as user be-
haviour that disturbs their sleep patterns (i.e., problematic sleep).
Poor social media sleep hygiene captures irregular sleeping patterns
punctuated by intermittent waking up to be on social media. In com-
parison, problematic sleep represents the outcome of engaging in
social media sleep hygiene (e.g., poor sleep quality, poor sleep and
disturbances during sleep). There is no a priori model for either of
these sleep measures; rather, the measures flow from the observed
behaviour of social media users.
2.3 | Theoretical framework
The present study draws insights from three theories (cognitive-
behavioural theory, self- awareness theory and problem behaviour
theory) to offer a rationale for the anticipated problematic behaviour
of social media users. While these theories have not yet discussed or
established relationships among the constructs tested by the present
study, they nevertheless justify why people exhibit problematic so-
cial media use behaviour and why we can expect these problematic
behaviours to have a multiplier effect that aggravates other negative
behaviours, in turn. Furthermore, though cognitive- behavioural theory
and problem behaviour theor y both posit that a problematic behaviour
leads to another, we refer to both, as the former was proposed in the
specific context of the internet, while the latter is often utilized to ex-
plain deviant behaviours in offline environments.
Cognitive- behavioural theory, proposed by Davis (2001), is a popular
theoretical framework that addresses individual behaviour related to
compulsive use of the internet. The theor y originally posited that prob-
lematic behaviour regarding internet usage is rooted in an individual's
intrinsic dysfunction. C aplan (2003) later extended this theory to posit
that over- engagement with different internet platforms and tools has
the power to bring more damaging effects for users, in addition to ag-
gravating their existing level of psycho- social problems.
Self- awareness theory, meanwhile, asserts that individuals usually
compare themselves with their perceptions of an ideal inner- self at
some point in their lives (Duval & Wicklund, 1972). The mismatch
between their real and ideal selves leads to a negative evaluation
of their self- awareness. Such negative evaluations can arise in the
context of t wo impor tant factors: interaction anxiousness and self-
esteem (Leary & Kowalski, 1993). This comparison is especially
prominent among young adults suffering from an identity crisis who
may seek to engage in impression management (Dhir, 2016).
Problem behaviour theory posits that people who engage in any
atypic al behaviour are more likely to engage in such behaviours in
th e futur e as well (Jes so r & Jes sor, 1977 ). Al thoug h the theory wa s
originally employed to investigate aberrant behaviour in offline
environments, the emergence of the online world and the occur-
rence of such deviant behaviour therein have prompted scholars
to extend this theory to the online contex t as well (e.g., Kircaburun
et al., 2018).
2.4 | Hypothesis development
2.4.1 | Social media stalking, problematic sleep and
poor social media sleep hygiene
Recent empirical studies have discussed possible links between
stalking and problematic behaviours, such as cyberstalking linked

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to Machiavellianism (e.g., Kircaburun, Demetrovics, & Tosuntaş,
2018; Smoker & March, 2017) and narcissism, psychopathy and
sadism (e.g., Ménard & Pincus, 2012). Scholars have also ar-
gued that online stalking requires the stalker to spend an ex-
cessive amount of time monitoring a victim's posts and profiles
(Kircaburun, Demetrovics, & Tosuntaş, 2018). The same behaviour
is to be expected in the case of social media stalking. It is reason-
able to anticipate that a large amount of time spent on social media
platforms would occur not only during the daytime, but also at
night.
Prior studies have found that such continuous social media
use is likely to hurt users’ sleep (e.g., Exelmans & Scott, 2019).
Consequently, we expec t that social media stalking will dis-
rupt sleep time, thus, leading to manifestations of problematic
sleep. Such behaviour is also in accordance with the postulates
of cognitive- behavioural theory (Caplan, 2003; Davis, 2001) and
problem behaviour theory (Jessor & Jessor, 1977), which argue
that problematic behaviours are rooted in an individual's psycho-
social issues and that these problematic behaviours can have the
domino effect of inducing other deviant behaviours. In the context
of the present study, social media stalking refers to the manifesta-
tion of social media users’ psycho- social dysfunction, which leads
to indiscriminate use of social media to the point of comprising
sleep time and causing disturbed sleep. Since the present study
interprets problematic sleep as disturbed sleep or lack of sleep
due to social media use, the preceding discussion provides us with
the rationale to posit that:
Hypothesis 1 A higher tendency to engage in social media stalking is
associated with the increased manifestation of problematic sleep.
We further argue that not only will social media stalking lead
to problematic sleep in terms of quality and duration of sleep, but
also to disturbed sleep patterns, representing poor social media
sleep hygiene. Thus, social media stalking could be a possible mo-
tivator behind waking up multiple times during the night, which
then leads to poor social media sleep hygiene. This situation can
be particularly true for those young people who develop the habit
of accessing social media as a routine activity before retiring for
the night.
Accessing social media plat forms to socialize with their friends
can result in several health issues, including poor sleep quality and
irregular sleep- wake rhythms. For example, obsessively checking
Facebook for updates has been linked with lower quality sleep (Mark
et al., 2016). This domino effect of problematic behaviour is also sup-
ported by cognitive- behavioural theory (Caplan, 20 03; Davis, 2001)
and problem behaviour theory (Jessor & Jessor, 1977). Based on the
above discussion, we posit that:
Hypothesis 2 A higher tendency to engage in social media stalking is
associated with the increased manifestation of poor social media
sleep hygiene.
2.4.2 | Social media stalking and compulsive social
media use
Compulsive social media use refers to an individual's uncontrolled,
addictive and problematic tendency to be overly concerned
about social media and spend excessive time on related ac tivities
(Andreassen & Pallesen, 2014). The issue of compulsive social media
usage by youths has also garnered sufficient attention among schol-
ars (e.g., Kircaburun & Grif fiths, 2018).
Though social media platforms are meant for networking, people
observe and monitor others online to acquire a variety of valuable in-
formation. Frequent use of social media results in impulsive engage-
ment in knowing and continuously monitoring others’ social media
profiles (Fox & Moreland, 2015). As mentioned before, this activity is
termed social media stalking (Fox, 2015) and c an potentially lead to
excessive social media use. This situation has further led to growing
concerns over compulsive social media use and it s harmful influence
on users’ personal and work environments (Moqbel & Kock, 2018). In
this contex t, existing researchers have also acknowledged how ado-
lescents have changed since encountering social media (Sales, 2016).
Scholars have reported several instances where adolescents
have accepted that their compulsive usage is driven by their own
stalking behaviour exhibited on such platforms (Sales, 2016). Social
media stalking can be said to be linked with compulsive social media
use based on previous findings, which describe stalking as spending
too much time checking and monitoring others’ profiles and activi-
ties on social media platforms (Hollenbaugh & Ferris, 2014). Despite
the intuitive link apparent from the prior findings, little research has
connected social media stalking to compulsive social media use. The
extensive literature and existing evidence, however, lead us to antic-
ipate that social media stalking will cause users to increasingly en-
gage with social media, which might then become compulsive, in line
with the postulates of cognitive- behavioural theory (C aplan, 2003;
Davis, 2001) and problem behaviour theory (Jessor & Jessor, 1977).
We hence propose that:
Hypothesis 3 A higher tendency to engage in social media stalking is
associated with the increased compulsive social media use.
2.4.3 | Online self- disclosure, social media
sleep hygiene, compulsive social media use and
problematic sleep
Online self- disclosure is the intentional or unintentional disclosure
of personal information on social media platforms for different rea-
sons (Dhir, 2016). Prior research has noted that social media usage
induces users to reveal private information for self- presentation
and belongingness (Seidman, 2013). Bazarova and Choi (2014) have
stated that self- expression and societal validation are t wo prominent
reasons that drive online self- disclosure. Hollenbaugh and Ferris
(2014), meanwhile, revealed that being part of a virtual community

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and finding a companion on Facebook were the most important pre-
dictors of online self- disclosure.
In comparison to this body of literature, which present s online
self- disclosure as a positive aspect of social media behaviour, very
few studies have investigated its negative fallout. Nevertheless,
the tendency to self- disclose can eventually cause social media
users to use the platform more frequently to both self- disclose and
track and respond to others’ activities. Though there is no a priori
model for such a proposition, the findings of the latest research
linking online self- disclosure to well- being (Luo & Hancock, 2020)
support the assumption that users might get caught in a vicious cir-
cle in which they engage in online self- disclosure for an improved
sense of well- being but end up using such disclosure to the ex-
tent that negative fallout, such as poor social media sleep hygiene,
compulsive social media use and problematic sleep, outweigh the
positives. Behaviours related to self- esteem issues and anxiety
are also consistent with the propositions of self- awareness theory
(Duval & Wicklund, 1972). This discussion gives us sufficient mo-
tivation to explore the association of online self- disclosure with
social media sleep hygiene, problematic sleep and compulsive so-
cial media use.
This argument is also plausible because online self- disclosure
ha s bee n lin ke d wit h low sel f- es teem (H ol len ba ugh & Ferr is, 2014).
To counter their feeling of low self- esteem, users might try to
present a better image of them by learning more and more about
their online social world, which they do by spending time on social
media platforms. We can expect such an increase in social media
use to create erratic sleep patterns among users, fuelling the de-
velopment of poor social media sleep hygiene. Based on this dis-
cussion, we posit that:
Hypothesis 4 A higher tendency to engage in online self- disclosure is
associated with the increased manifestation of poor social media
sleep hygiene.
The need for societal validation, along with the urge to dispel the
feelings of loneliness, poor self- esteem and anxiety, propels online
self- disclosure (Hollenbaugh & Ferris, 2014), which, in turn, leads
to the heightened use of social media. Such excessive use of social
media represents compulsive social media use, as argued by prior
literature (e.g., Andreassen & Pallesen, 2014).
The preceding discussion leads us to expec t an association
between online self- disclosure and compulsive social media use.
Hence, we posit:
Hypothesis 5 A higher tendency to engage in online self- disclosure is
associated with the increased manifestation of compulsive social
media use.
As discussed above, the urge to use social media extensively to
enhance one's self- image can be anticipated to exacerbate the ad-
verse effect of social media use, which can lead to problems associ-
ated with sleep.
We posit that users who indulge in high online self- disclosure will
tend to use social media more and that such usage will spill over to
nig ht- time as well, thu s, affec ting thei r sleep. As such, we arg ue that:
Hypothesis 6 A higher tendency to engage in online self- disclosure is
associated with the increased manifestation of problematic sleep.
2.4.4 | Social media sleep hygiene, compulsive social
media use and problematic sleep
The area of social media usage and sleep disturbance has captured
the attention of researchers in recent decades (e.g., Royant- Parola
et al., 2018), par ticularly in the context of electronic devices. Sleep
problems involve getting fewer hours of sleep and experiencing
problems falling asleep. These factors are related to social media
sleep hygiene (Fobian et al., 2016). Notably, many past studies have
found good sleep hygiene to be a key antecedent of sleep quality
among adolescents (Gallasch & Gradisar, 2007). Similarly, Godsell
and White (2019) examined the association between sleep hygiene
issues and the use of electronic devices. Similarly, our discussant
study (Tandon et al., 2020) examined and confirmed the positive as-
sociation of poor social media sleep hygiene with problematic sleep
for both students and working professionals.
The findings discussed above give us reason to anticipate that
poor social media sleep hygiene will lead to problematic sleep. Such
anticipation is also consonant with cognitive- behavioural theor y
(Caplan, 2003; Davis, 2001) and problem behaviour theory (Jessor
& Jessor, 1977), which posit that problematic behaviour is likely to
aggravate others. Hence, we argue that:
Hypothesis 7 Poor social media sleep hygiene is associated with the
increased manifestation of problematic sleep.
Lam (2014) has suggested that respondents who report sleep
issues are more likely to be termed ‘compulsive users’ compared
with those who do not report any sleep problems. Moreover, Arora
et al. (2014) revealed that the frequent use of social media platforms
often results in the reduced quantity and quality of sleep. A relatively
recen t study by Woo ds and Scot t (2 016) lin ked night- t ime socia l media
engagement with its compulsive use, ultimately resulting in poorer
sleep quality— an expression of problematic sleep (Tao et al., 2017).
Our discussant study (Tandon et al., 2020) also examined the as-
sociation of compulsive social media use with problematic sleep and
confirmed the existence of a positive relationship for the student
sample. However, the study did not find any association between
the two in the case of working professionals. Based on this discus-
sion, we anticipate a positive relationship between the two. We thus
posit that:
Hypothesis 8 A higher tendency to engage in compulsive social media
use is associated with the increased manifestation of problematic
sleep.

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2.4.5 | Mediating influence of social media sleep
hygiene and compulsive social media use
While the reviewed literature supports the proposed direct effects
in our model, previous research also leads us to believe that the se-
lected variables might interact via indirect paths as well. As few ex-
isting studies have performed mediation analyses in connection with
our study variables, no a priori model exists to base our assumptions
on. However, related studies have previously confirmed the pres-
ence of indirect effects, providing a basis for exploring such rela-
tionships in our research as well. For instance, Moqbel and Kock’s
(2018) study revealed the mediating role of positive emotions and
task distraction on the association between performance and addic-
tion to social networking sites. Similarly, Bazarova and Choi (2014)
tested the mediating effect of disclosure goals on the association of
social media affordances with disclosure intimacy. Adams and Kisler
(2013), meanwhile, found that sleep quality mediates the association
between technology use, sleepiness, and depression, and anxiety. In
another relatively recent study, Kircaburun et al. (2018) found that
cyberbullying and cyberstalking fully mediate the association be-
tween Machiavellianism and problematic social media use.
We further add another dimension to the research on problem-
atic social media usage by investigating the mediating effect of poor
social media sleep hygiene and compulsive social media use on the
association of social media stalking and online self- disclosure with
problematic sleep. We anticipate this mediation because, intuitively,
poor social media sleep hygiene and compulsive social media use are
likely to exacerbate the effect of social media stalking and online
self- disclosure on problematic sleep. Our anticipation of the me-
diating effect of social media sleep hygiene and compulsive social
media use on the association of social media st alking and problem-
atic sleep is based on the fact that stalking requires the st alker to
spend an excessive amount of time online (Kircaburun, Demetrovics,
& Tosuntaş, 2018), which can take place throughout the day and
night. Such night- time usage of social media to stalk is also expected
to affect sleep pat terns, thus, leading to poor social media sleep hy-
giene (Fobian et al., 2016). In turn, this compromised sleep hygiene
results in poor sleep qualit y, which is a measure of problematic sleep
(Gallasch & Gradisar, 2007). In summary, social media stalking will
not only directly result in problematic sleep issues, but also indirectly
aggravate them through poor social media sleep hygiene. Thus, we
argue that:
Hypothesis 9a Poor social media sleep hygiene mediates the associa-
tion between social media stalking and problematic sleep.
Since excessive social media use frequently results in sleep is-
sues (Arora et al., 2014), social media stalking is likely to increase
problematic sleep among users. In addition, the excessive use of
media for stalking that becomes addictive over time can lead to com-
pulsive social media use (Sales, 2016), which can further exacerbate
the issue of problematic sleep (L am, 2014).
Consequently, we summarize that social media st alking will re-
sult in problematic sleep issues not only directly, but will also ag-
gravate these issues indirectly through compulsive social media use.
Thus, we posit that:
Hypothesis 9b Compulsive social media use mediates the association
between social media stalking and problematic sleep.
Our anticipation of the mediating effect of social media sleep hy-
giene and compulsive social media use on the association of online
self- disclosure with problematic sle ep is based on the fac t that online
self- disclosure has been linked to well- being (Luo & Hancock, 2020).
This relationship can lead people to use social media platforms in
excess to increase their sense of well- being.
After a certain point, the use of social media platforms can turn
obsessive, which can cause fallout, such as bad sleep habits and
patterns, the impulse to use social media and poor sleep quality.
Drawing upon this observation, we argue that online self- disclosure
practices will not only lead directly to problematic sleep, but also the
effect of such online self- disclosure is likely to become aggravated
through the indirect effects of poor social media sleep hygiene on
problematic sleep as well. Thus, we propose that:
Hypothesis 10a Poor social media sleep hygiene mediates the associa-
tion between online self- disclosure and problematic sleep.
Similarly, the use of social media for online self- disclosure to
enhance well- being can reach such an obsessive level that it be-
comes compulsive, which, in turn, can drive problematic sleep.
This would imply that online self- disclosure practices will not only
directly lead to problematic sleep, but will be fur ther aggravated
through the indirect effects of compulsive social media use on
problematic sleep.
This contention gives us a sufficient basis to explore the mediat-
ing role of compulsive social media use on the association between
online self- disclosure and problematic sleep. Thus, we argue that:
Hypothesis 10b Compulsive social media use mediates the association
between online self- disclosure and problematic sleep.
Accordingly, the present study examines the links between social
media stalking and online self- disclosure with social media sleep hy-
giene, compulsive social media use and problematic sleep. Variable
descriptions are presented in Table 1, while the research model
shown in Figure 1 hypothesizes social media st alking and online self-
disclosure as antecedents of social media sleep hygiene and compul-
sive social media use, which, in turn, are posited as antecedents of
problematic sleep. Furthermore, we hypothesize that social media
stalking and online self- disclosure will have both a direct effect on
problematic sleep and an indirect effect through social media sleep
hygiene and compulsive social media use. We have also employed
two demographic variables (age and gender) as control.

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3 | METHODOLOGY
3.1 | Sampling, measurement scales and data
collection
We identified young adult social media users (aged 18– 25) as the
target population for this study, as this age group's presence on so-
cial media platforms is among the most prolific (Dhir et al., 2018).
We specifically targeted students as this demographic has fre-
quently been recruited to investigate the dark side of social media
use (Garett et al., 2018; Luqman et al., 2017). We collected data in
March and April 2019 from 876 students across three large, English-
speaking universities in North India.
The participants had the freedom to respond via a paper- based
survey or online through a Google Forms link. Survey participation
was voluntary and anonymous to reduce the social desirability re-
sponse bias and to ensure data collection from only the respondents
int er es te d in the study. We fur th er spe ci fi ed that only in di vi du al s who
use social media platforms for more than 1 hr a day should participate
in the survey. We informed the study respondents about the objec-
tives and outcomes of the survey but did not provide them with any
kind of compensation for participating. Among the collected data, 109
responses were deleted due to incomplete data and the presence of
outliers (Hair et al., 2010; Horwood & Anglim, 2019), which resulted
in the final set of 876 respondents. A third (33.6%; n = 294) of the
respondents were female, while the rest (66.4%; n = 582) were male.
Construct Description
Social media stalking (SoMS) Impulsive engagement in knowingly and
surreptitiously monitoring others’ social media
profiles
Online self- disclosure (SeD) Disclosure of personal information on SMPs
for different reasons, such as enhancing
relationship quality, building social capital and
self- presentation
Social media sleep hygiene (SMSH) Maintaining a consistent schedule of sleep,
using media in healthy ways and being aware of
the adverse influence of media on sleep health;
also includes sleep irregularity/latency
Compulsive social media usage (CSMU) Represents an individual's tendency to spend
excessive time in activities related to social
media
Problematic sleep (PS) Includes sleep disturbances, such as delayed
sleep, insufficient duration, erratic patterns,
chronotypes and low- quality sleep
TABLE 1 Variable description
FIGURE 1 Proposed conceptual model

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Participants ranged in age from 18 years to 25 years, with an average
age of 20.65 (standard deviation [SD] = 2.17 years). The measure-
ments used for the study were adapted from prior validated reflective
measures and were based on a 5- point Likert scale (see Table 2).
The present study adapted the Intimate Partner Cyber Stalking
Scale (IPCSS) proposed by Smoker and March (2017) to identify
items to measure social media stalking. Since social media stalking
is not the same as cyberstalking, the 21- item IPCSS was pilot tested
with 10 users representing our target population. We explained the
concept of social media stalking to the participants and asked them
to select those items from the 21- item pool that they felt were
associated with social media stalking. In addition, we conducted
informal interviews with 10 other participants from the target pop-
ulation to understand the social media stalking phenomenon better.
During the interviews, par ticipants shared their experiences and
activities related to social media stalking by explaining why, how
and when they checked others’ profiles. Based on these two pilot
studies (i.e., the pilot testing of the 21- item instrument and the per-
sonal interviews with 10 participants), the five- item social media
stalking measure was developed. Af ter dat a analysis, however, one
item was deleted, ultimately resulting in a four- item measure.
3.2 | Data analysis and procedure
The current study utilized structural equation modelling (SEM) since
our conceptual model proposes multiple relationships of the ante-
cedents and outcomes, in consonance with the recommendation
Study measures (Reference) Measurement items CFA SEM
Social Media Stalking (SoMS)
(Smoker & March, 2017)
I usually check others’ Facebook profiles to
see what they're up to
.80 .80
I try to monitor others through their
Facebook profiles
.79 .78
I spend the majority of my time on
Facebook looking at others’ profiles
.72 .72
I get a lot of infor mation about others by
looking at their Facebook activities
.72 .72
Social Media Sleep Hygiene
(SMSH) (Tandon et al., 2020)
Do you often wake up in the night to check
your Facebook Wall?
.83 .83
Do you often wake up in the night to check
likes/comment s to your Facebook update?
.81 .81
Do you often wake up in the night to check
Facebook notifications?
.86 .86
Do you often wake up in the night and start
responding to messages you've received
on Facebook?
.70 .70
Problematic Sleep (PS)
(Tandon et al., 2020)
Does your sleep dur ation become reduced
due to Facebook use before sleeping?
.75 .74
Does your sleep dur ation become reduced
due to Facebook notifications?
.71 .70
Does your sleep dur ation become reduced
due to messages on Facebook messenger?
.69 .69
Compulsive Social Media
Usage (CSMU) (Andreassen
et al., 2012)
Have you tried to cut down on your use of
Facebook without success?
.53 .53
Do you become restless or troubled
if you've been prohibited from using
Facebook?
.93 .94
Have you ever used Facebook so much that
it had a negative impact on your s tudies/
work?
.92 .92
Online Self- disclosure (SeD)
(Krasnova et al., 20 09)
My Facebook profile tells a lot about me .84 .84
I reveal a lot of information about me on
Facebook
.85 .85
I don't mind putting personal infor mation
on Facebook
.55 .55
I have a detailed profile on Facebook .73 .73
Abbreviations: CFA, confirmatory factor analysis (measurement model testing); SEM, structural
equation modelling.
TABLE 2 Study measures and factor
loadings

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of Hair et al. (2016). Of the two approaches to apply SEM, namely,
covariance- based SEM (CB- SEM) and variance- based SEM ( VB-
SEM), we utilized CB- SEM as our objective was to test the proposed
hypothesis rather than engage in theor y- building (Hew et al., 2019).
Furthermore, our choice of CB- SEM is guided by the fact that
the data meets the multivariate and sample size requirement s, as
suggested by scholars (Hair et al., 2016; Henseler et al., 20 09). In
comparison, VB- SEM is lenient about multivariate and sample size
requirements (Hew et al., 2019).
We app lie d CB- SEM thro ugh a two- step process recommend ed
by Hair et al. (2016). First, confirmatory factor analysis (CFA) was
undertaken, followed by structural equation modelling (SEM) using
SPSS 25 and AMOS 25. The output of the measurement model
was used to validate the factor structure together with evaluat-
ing the validity and reliability of the study constr uct s. We analysed
the structural path to test the conceptual model and evaluated the
model fit, validity and reliability criteria against the recommended
values (Fornell & Larcker, 1981; Hair et al., 2010). Finally, we per-
formed the mediation analysis using the PROCESS macro.
4 | RESULTS
4.1 | Common method bias (CMB)
To ensure robust results, we examined the data for common method
bias (CMB), which is often a concern in the case of self- reported,
cross- sectional data. While testing for CMB, we not only applied
a preliminary Harman's one- factor test (Podsakoff et al., 2003) to
confirm that the variance explained was less than 50%, but we also
utilized the common latent factor (Lindell & Whitney, 2001) and CFA
marker variable techniques (Williams et al., 2010), which are more
stringent test s of CMB . All tests confirmed that CMB was not a con-
cern in this study.
4.2 | Validity and reliability
The measurement model assessed using CFA resulted in a good
model fit: X2/df = 3.53, comparative fit index (CFI) = 0.96, Tucker–
Lewis index (TLI) = 0.95 and root mean square error of approximation
(RMSEA) = 0.05 (Hair et al., 2010). The results from the measurement
model provided the item loadings for each item. As shown in Table 2,
most loadings were above 0.7, confirming that the items were a good
measure of the factor they loaded onto. The loading did not go
below 0.5 for any item; rather, they were above the suggested cut-
off of 0.40 (Hair et al., 2010).
The composite reliability (CR) values were greater than the sug-
gested threshold of 0.70, as shown in Table 3 (Hair et al., 2010).
These values also provide evidence of the internal reliability of
the study constructs. Continuing with the assessment criteria,
the average variance extracted (AVE) of any construct whose val-
ues were above 0.5 was taken into consideration, as depicted in
Table 3 (Hair et al., 2010). All the above- mentioned statistical tests
provided evidence of convergent validity. Furthermore, all square
roots of the AVEs were greater than the association coef ficients of
pairs of constructs, thus, supporting discriminant validity (Fornell &
La rcke r, 1981).
The study constructs possessed discriminant validity since their
AVE values were greater than their average shared squared variance
(ASV ) and maximum shared squared variance (MSV) values (Fornell
& Larcker, 1981; see Table 3). In addition, the pair- wise associations
between the constructs were below 0.80, following recommenda-
tions (Kline, 2016).
Two other forms of validity, namely the face and content validity,
were examined since these are an important part of instrument de-
velopment (Connell et al., 2018; Patrick et al., 2011). Content validity
checks to what extent the items cover different constructs to be
measured, while face validit y examines if the items are appropriate
and sensible (Fitzpatrick et al., 1998; Holden, 2010). In consonance
with the recommended procedure, as discussed by prior studies
(e.g., Rubio et al., 2003), content validity was achieved by seeking
expert feedback and opinions. Furthermore, we ensured face valid-
ity through the pilot study (n = 20) conducted before administering
the final questionnaire. This step improved the research instrument
and enhanced the quality of the research.
4.3 | Structural model
Path analysis was conducted using covariance- based SEM, which
returned a model with goodness- of- fit indicators commensurate
TABLE 3 Validity and reliability analyses
Mean SD CR AVE MSV ASV PS SMSH SeD SoMS CSMU
PS 5.99 2.94 0.76 0.51 0. 32 0.28 0.72
SMSH 5.92 2.90 0.88 0.64 0.32 0.18 0.57 0.81
SeD 7.69 3.39 0.84 0.57 0.28 0.19 0.43 0.34 0.75
SoMS 8.22 3.73 0.84 0.57 0.31 0.25 0.56 0.36 0.53 0 .76
CSMU 4.78 2.17 0.85 0.67 0.29 0.22 0.54 0.37 0.42 0.52 0.82
Abbreviations: ASV, average shared var iance; AVE, average var iance ex trac ted; CR, composite reliability; C SMU, compulsive social media usage; MSV,
maximum shared variance; PS, problematic sleep; SeD, online self- disclosure; SMSH, social media sleep hygiene; SoMS, social media stalking.

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with the recommended model fit criteria: X2/df = 3. 37, CFI = 0.96,
TLI = 0.94 and RMSEA = 0.05 (Hair et al., 2010). The regression
weights for the proposed hypotheses, along with the probability
values, assisted in hypothesis testing. The results showed that the
majority of the hypotheses were suppor ted: H1: (β = .25, p < .001);
H2: (β = . 29, p < .0 01); H3: (β = .46, p < .001); H4: (β = .1 7, p < .001);
H5: (β = .16, p < .001); H7: (β = .36, p < .001); and H8: (β = .26, p
< .001; see Table 4). Only hypothesis H6 was rejected ( β = .07, p
> .05). The proposed research model explained 17.3% variance in
poor social media sleep hygiene, 32% variance in compulsive social
media use and 51.4% in problematic sleep, as shown in Figure 2. All
R2 values indicated robust findings, since, in consumer- behaviour
studies, a value of even 20% is generally considered to be quite high
(Hair et al., 2011).
4.4 | Mediation analysis
We used the Model 4 PROCESS macro to conduct the mediation
analysis to examine the indirec t effect of compulsive social media
use and poor social media sleep hygiene on the association of social
media stalking and online self- disclosure with problematic sleep. The
analysis revealed that compulsive social media use and social media
sleep hygiene partially mediated the association of social media
stalking with problematic sleep: PEdirect = .24, 95% confidence inter-
val (CI) .1721, .3135; PEindirect effect (compulsive social media use) = .16, BCa
95% CI .1122, .2115; PEindirec t effec t (socia l media sle ep hygien e) = .11, BCa
95% CI .2160, .3263. Similarly, both compulsive social media use and
social media sleep hygiene also partially mediated the association
of online self- disclosure and problematic sleep: PEdirect = .14, 95%
CI .0777, .2065; PEindirect effect (compulsive social media use) = .14, BCa 95%
CI .1039, .1861; PEindire ct effect (soc ial media sleep hy giene) = .10, BCa 95% CI
.0696, .1329. The absence of zeroes in the bootstrapped CIs proves
the presence of partial mediation for all the above- mentioned asso-
ciations (see Tables 5 and 6).
4.5 | Control variables
Recent research (e.g., Tandon et al., 2020) has noted that demo-
graphic variables, such as age and gender, can potentially affect so-
cial media user behaviour. We thus controlled the proposed model
for age and gender in the present study. Our analyses indicated that
poor social media sleep hygiene was not influenced by controlling
for age (β = .004, p > .05) or gender (β = −.05 , p > .05). Conversely,
compulsive social media use was influenced by both age (β = −.06,
TABLE 4 Hypothesis testing results
Hypothesis Path βSignificance Support
H1 SoMS → PS .25 <.001 Ye s
H2 SoMS → SMSH .29 <.001 Ye s
H3 SoMS → CSMU .46 <.001 Yes
H4 SeD → SMSH .17 <.001 Ye s
H5 SeD → CSMU .16 <.001 Ye s
H6 SeD → PS .07 n.s. No
H7 SMSH → PS .36 <.001 Ye s
H8 CSMU → PS .26 <.001 Yes
Abbreviations: C SMU, compulsive social media usage; PS, problematic
sleep; SeD, online self- disclosure; SMSH, social media sleep hygiene;
SoMS, social media stalking.
FIGURE 2 Structural model results

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p < .05) and gender (β = −.09, p < .01). Finally, gender did not affect
problematic sleep (β = −.03, p > .05), while age did ( β = .12, p < .0 01).
5 | DISCUSSION
H1 and H2, which hypothesize the positive association of social
media stalking with problematic sleep and poor social media sleep
hygiene, were suppor ted by the results. This finding agrees with
revelations from prior studies that spending time on social media
platforms for stalking others may lead to sleep issues (e.g., Exelmans
& Scott, 2019; Kircaburun, Demetrovics, & Tosuntaş, 2018), in line
with theories, such as cognitive- behavioural theory (Caplan, 2003;
Davis, 2001) and problem behaviour theory (Jessor & Jessor, 1977).
Young adult users who engage in stalking behaviour on social media
platforms are thus shown to exhibit poor social media sleep hygiene,
that is, a tendency to check social media during the night, before
sleeping and immediately upon waking, as well as experiencing
problematic sleep due to preoccupation with social media platforms.
The reason behind the link of social media st alking with poor social
media sleep hygiene and problematic sleep stems from young users
constantly engaging in different practices intended to monitor and
socialize with their friends, which causes them to adhere to erratic
sleep routines and leads to deterioration of their quality of sleep.
H3, which proposes that an increase in social media stalking ac-
tivity is likely to lead to compulsive use, was also suppor ted by our
findings, as anticipated based on the prior literature (Sales, 2016)
and theories, such as cognitive- behavioural theor y (Caplan, 2003;
Davis, 2001) and problem behaviour theory (Jessor & Jessor, 1977).
The very nature of stalking, as argued by Hollenbaugh and Ferris
(2014), supports the idea of a linkage between social media stalking
and compulsive social media use. The finding implies that the ten-
dency of young users to keep track of others through monitoring
their social media profiles (either deliberately or unintentionally)
forces them to use social media plat forms too frequently, which then
leads to a manifestation of compulsive social media use. Of note is
that social media stalking may be connected to the emerging fear
of missing out (FOMO). This concept, which reflec ts users’ anxiety
about missing out on any information related to people in their so-
cial circle, thus, leads to their continuous online presence and sub-
sequent addictive use of social media plat forms (Dhir et al., 2019).
H4 and H5, which hypothesize a positive relationship of on-
line self- disclosure with poor social media sleep hygiene and com-
pulsive social media use, were also supported by our findings. As
revealed by prior research and concluded from the propositions
of self- awareness theor y (Duval & Wicklund, 1972), impression
management needs and the desire of social media users to main-
tain social connections might cause users to engage in online
self- disclosure. Given that online self- disclosure on social media
platforms generates greater satisfaction among users, such disclo-
sure motivates users, in turn, to spend more time on social media
platforms. When users engage in online self- disclosure, they show
an increased tendency to keep track of how people in their so-
cial circle react to the information they share. In this process, they
might lose track of time and start exhibiting poor social media
sleep hygiene, in addition to the addictive behaviour of continu-
ally checking social media plat forms to the extent that it becomes
compulsive. Thus, in their persistent desire to be bet ter than their
peers, users engage in compulsive usage to make timely disclo-
sures that are in alignment with their impression management and
self- esteem goals.
H6, which hypothesizes a positive association between online
self- disclosure and problematic sleep, however, was not supported.
Though there was no a priori model to support or deny this associa-
tion, we had anticipated that the need to generate a positive image
among one's social circle to build social capital (Seidman, 2013)
would cause young adult users to reveal more online and, in the pro-
cess, also cause them to spend more time tracking the responses
and activities of those whom they consider their ideal or on whom
they wish to create an impression. This constant urge to achieve
their impression management goals through social media platforms
TABLE 5 Mediation analysis results
βSE t p LLCI ULCI
SoMS→SMSH&CSMU→PS
SoMS → SMSH .25 .02 10.19 .0 0 .2047 .3024
SoMS → CSMU .52 .03 17.35 .00 .4573 .5739
SoMS → PS .24 .04 6 .74 .00 .1721 .3135
SMSH → PS .43 .04 10.01 .00 .3479 .5175
CSMU → PS .31 .04 8.59 .0 0 .2397 .3818
Total effec t of
SoMS → PS
.51 .03 14 .8 6 .00 .4450 .5804
SeD→SMSH&CSMU→PS
SeD → SMSH .22 .02 9. 33 .00 .1759 .2695
SeD → CSMU .39 .03 13.06 .00 .3325 .4501
SeD → PS .14 .03 4.33 .00 .0777 .2065
SMSH → PS .45 .04 10.20 .00 .3618 .53 42
CSMU → PS .37 .04 10. 511 .0 0 .2989 .4362
Total effec t of
SeD → PS
.14 .03 4.33 .00 .0777 .2065
Abbreviations: C SMU, compulsive social media usage; PS, problematic
sleep; SeD, online self- disclosure; SMSH, social media sleep hygiene;
SoMS, social media stalking.
TABLE 6 Indirect effects between dependent and independent
variable
Effect se LLCI ULCI
SoMS → SMSH → PS .11 .03 . 2160 .3263
SoMS → CSMU → PS .16 .03 .1122 . 2115
SeD → SMSH → PS .10 .02 .0696 .1329
SeD → CSMU → PS .14 .02 .1039 .1861
Abbreviations: C SMU, compulsive social media usage; PS, problematic
sleep; SeD, online self- disclosure; SMSH, social media sleep hygiene;
SoMS, social media stalking.

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likely engages their attention so much that it causes them to sacrifice
sleep time and harms the qualit y of their sleep. In this context , during
our analysis using the PROCESS macro, we found evidence of only
partial mediation of the relationship between online self- disclosure
and problematic sleep by social media sleep hygiene and compul-
sive social media use, thus, indicating the possibility of a statistically
significant direct relationship between online self- disclosure and
problematic sleep. We, therefore, feel that this association must be
explored further through larger and more varied data sets.
In addition, H7 and H8, which examine the positive linkage of
poor social media sleep hygiene and compulsive social media use
with problematic sleep, were both suppor ted by the findings. Such
associations between dark aspects of social media users are in line
with the propositions of cogniti ve- behavioural theory (Ca plan, 2003;
Davis, 2001) and problem behaviour theory (Jessor & Jessor, 1977).
Social media sleep hygiene is a less explored variable and has been
investigated as an antecedent of problematic sleep by limited studies
(e.g., Tandon et al., 2020). Most of the extant research has discussed
social media and electronic- device use, observing that these are
likely to affect sleep patterns, thus, causing deterioration in the qual-
ity of sleep (Royant- Parola et al., 2018). Compared with the limited
empirical evidence on the association between poor social media
sleep hygiene and problematic sleep, prior studies have confirmed
the association bet ween compulsive social media use and poor sleep
quality (Dhir et al., 2018; Lam, 2014; Woods & Scot t, 2016) and
problematic sleep (Tandon et al., 2020). Our findings confirm that
poor social media sleep hygiene, due to the habit of accessing social
media plat forms during the night and the tendency to do so compul-
sively, ultimately affects the level of problematic sleep experienced
by users. Furthermore, support for H7 and H8 is in consonance with
the findings of our discussant study (Tandon et al., 2020).
H9a and H9b, which test the mediating ef fect of poor social
media sleep hygiene and compulsive social media use on the linkage
between social media stalking and problematic sleep, respectively,
were supported by the findings, confirming the existence of partial
mediation in both cases. We had anticipated the mediating effect
of social media sleep hygiene and compulsive social media use on
the association of social media stalking and problematic sleep based
on the following prior findings: first, stalking requires the stalker to
spend excessive amounts of time online (Kircaburun, Demetrovics,
& Tosuntaş, 2018); second, users spend time on social media plat-
forms both during the day and at night (Duggan & Smith, 2013);
third, excessive social media use often results in sleep issues (Arora
et al., 2014); and fourth, the night- time usage of media to stalk is
likely to affect social media sleep hygiene (Fobian et al., 2016), thus,
affecting sleep quality, which is a measure of problematic sleep
(Gallasch & Gradisar, 2007). Taken together, these findings imply
that the ef fect of one problematic use (i.e., social media stalking)
on another problematic outcome, that is, problematic sleep is likely
to become ag gravated by more problematic outcomes (poor social
media sleep hygiene and compulsive social media use). This mani-
festation is consistent with the arguments of cognitive- behavioural
theory (Caplan, 2003; Davis, 2001) and problem behaviour theor y
(Jessor & Jessor, 1977).
Finally, H10a and H10b, which propose a positive indirect effect
of social media stalking on problematic sleep through poor social
media sleep hygiene and compulsive social media use, respectively,
were also supported by the findings. First, this finding follows
the propositions of cognitive- behavioural theory (Caplan, 20 03;
Davis, 20 01) and problem behaviour theor y (Jessor & Jessor, 1977),
which suggest that problematic behaviours tend to have a multiplier
effect that leads to other adverse outcomes. Our results imply that
online self- disclosure practices (including the desire to be updated
on developments in the lives of others via social media platforms by
continuously searching and checking social media immediately be-
fore sleeping) could lead users to think about the information they
have viewed and possibly relate that information to themselves. This
relating process might then provoke them to engage in social com-
parison, where negative comparisons could result in thinking about
ways to improve their own life experiences. These actions could
make their social media use compulsive and also delay their falling
asleep, which could ultimately result in shortened or low- quality
sleep and disturbed sleep patterns. This complex user behaviour
supports the fact that poor social media sleep hygiene and compul-
sive social media use worsens the effect of online self- disclosure
on problematic sleep. The study thus offers various theoretical and
practical implications.
5.1 | Theoretical contributions and implications
We propose five impor tant theoretical implications of this research.
First, our study opens a new area of research on problematic social
media use by presenting emergent user behaviours, such as social
media stalking, as the perpetrator of other negative aspec ts of social
media use, including compulsive usage and poor social media sleep
hygiene. For example, we have shown that social media stalking can
also serve as an important predictor of compulsive social media use.
Social media stalking is a relatively new concept that requires at-
tention from researchers. This study is an initial attempt to clarify
the phenomenon of social media stalking, which recent studies have
mainly discussed in the context of romantic relationships, where
stalking is discussed as a tool to collect information about present,
past or pr os pec ti ve part ne rs (e. g., Howard et al. , 20 19). We th us con -
tribute to this body of literature by showing the association of social
media stalking with poor social media sleep hygiene.
Second, our study significantly contributes to the emerging lit-
erature on the dark side of social media by adding to the existing
research suggesting a negative linkage between social media use
and well- being (e.g., Salo et al., 2019). For example, our study adds
novel empirical insights into less- examined concepts, such as poor
social media sleep hygiene and problematic sleep, as negative fall-
out of social media use. In particular, we empirically show that social
media stalking has a direct ef fect on social media sleep hygiene and

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problematic sleep and an indirect effect on problematic sleep via so-
cial media sleep hygiene. The study thus contributes to the existing
knowledge on the emerging concept of sleep hygiene by reporting
on its possible antecedents and consequents.
Third, our study is among the few to investigate compulsive so-
cial media use, both as an outcome of social media use and as an
antecedent of other problematic social media use manifestations.
Prior studies have analysed the predictors of compulsive use, such
as fear of missing out (Andreassen et al., 2017), while others have
examined the outcome in the form of technostress, social media fa-
tigue, sleep problems and discontinuance or reduction in use (e.g.,
Dhir et al., 2018; Lee et al., 2014; Luqman et al., 2017). In contrast,
we reveal that compulsive social media use is the outcome of social
media stalking and online self- disclosure, as well as the antecedent
of problematic sleep.
Fourth, the study builds upon the recent findings in this domain.
Specifically, we extended the work of our discussant ar ticle, Tandon
et al. (2020), which examined the dark side of social media with the
main focus on variables, such as fear of missing out, compulsive
social media use, depression, anxiety, problematic sleep and poor
social media sleep hygiene. Furthermore, Tandon et al. (2020) ex-
amined the mediating role of compulsive social media use and poor
sleep hygiene between fear of missing out and problematic sleep.
In comparison, the current study differs in two major ways: (a) the
current study examines the influence of social media stalking and
self- disclosure practices on poor social media sleep hygiene, com-
pulsive social media use and problematic sleep, and (b) examines the
mediating role of compulsive social media use and poor sleep hy-
giene bet ween social media stalking and problematic sleep, as well
as between self- disclosure and problematic sleep.
Finally, our study utilizes both seminal behavioural theories (e.g.,
self- awareness theory and problem behaviour theory) and a newer
theory specific to internet use (cognitive- behavioural theor y) to con-
textualize the contemporar y issues related to the dark side of social
media use. By doing so, we have not only paved the way towards
newer initiatives directed at utilizing these seminal behavioural the-
ories to explain contemporar y issues in social media research, but
have also drawn researchers’ attention to the possibility of refining
seminal behavioural theories to make them more suitable for con-
temporary contexts.
5.2 | Implications for practice
This study offers six impor tant practic al implications for the target
group, as well as parents, mentors, teachers, mental health profes-
sionals and government s. First, we have highlighted the rising issue
of poor social media sleep hygiene and problematic sleep among
young adults. As is well- documented in the extant literature, sleep
problems have been associated with poor psychological health, re-
duced daytime functioning, sleep- medication usage and poor mental
health (Garett et al., 2016; Kelly et al., 2018; Woods & Scott, 2016).
Since young adults represent the demographic dividends of a
country, any deterioration in their mental and physical well- being
can be detrimental to the entire country. We thus suggest that gov-
ernment s initiate various interventions in the form of awareness
campaigns and posters to make young adults knowledgeable of the
risks they pose to themselves using social media platforms in excess.
Second, doctors and mental health professionals must offer
counsel to young adults who approach them for sleep- medication
or anxiet y- related issues. If the root cause of these issues is related
to poor social media sleep hygiene, then, educating the concerned
patients should be more effective than prescribing medication.
Specialist counsellors should also be available to help young adults
combat stalking, online harassment and consequent reputation dam-
age, if any. However, doctors and mental health professionals need
to realize that despite offering opportunities for advances in medical
and health- c are practices, social media can be quite challenging for
them in terms of the possibility of harm to their reputations, breach
of privacy and disinformation, as underscored by Lim (2016).
Third, for parents and mentors, young adults are generally be-
yond parental control but are not mature enough to self- regulate
the addictive use of social media platforms. Parental advice can
still work to some extent; more importantly, however, parents and
mentors can star t to regulate their children's social media usage at a
younger age to mitigate its additive use as they grow up.
Fourth , our findings indicate that online self- disclosure and social
media stalking are positively associated with dark side/problematic
behaviours, such as compulsive use and sleep issues for young adult
university students. These outcomes are especially relevant for
teachers. Teachers can play an instrument al role in reducing these
adverse effects by educating students about social media's negative
implications, suggesting strategies to cope with the impulse to use
social media indiscriminately, and employing low- threshold interven-
tions in collaboration with psychologists and medical professionals
to manage the fallout of using social media in a maladaptive way.
Fifth, social media developers should recognize the fact that dark
side manifestations, such as social media stalking, poor social media
sleep hygiene, compulsive social media use, online self- disclosure
and problematic sleep, will ultimately hurt the usage of their plat-
forms. Service providers should thus develop software with better
built- in features to offer some safeguards against the misuse of so-
cial media, both addictive as well as voyeuristic.
Finally, companies that sell wellness produc ts, such as fitness
wearables (e.g., watches and rings), could extend their customer
base among young adults by connecting their products not only to
physical aspects of health like walking, but also to issues, such as
sleep hygiene and screen- time reminders.
5.3 | Limitations and future research directions
Despite making several contributions to the existing literature, our
study has five main limitations. The first is the utilization of conveni-
ence sampling (university- attending social media users aged 18– 25),
which complicates the generalization of the study findings to the

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entire population of young adult social media users. This research
might also suffer from social desirability bias, which might result in
the exaggeration, underestimation or inhibition of the real symp-
toms reported, which, in turn, could ultimately influence clarity in
unearthing real user behaviour. Second, the sample chosen for the
study may lead to bias in the findings. However, we mitigate this
by utilizing three noteworthy theories in our exploratory research.
Despite this, we acknowledge the need for future research to ex-
trapolate our findings to the larger population, as recommended by
Lim et al. (2020).
Third, due to the existence of various definitions for social media
stalking and online self- disclosure, comparing the results over time
or with extant work is challenging. Fourth, because the study's geo-
graphical scope is limited to only one country (India), the findings
may not hold for other countries because of economic, social and
cultural differences. At the same time, however, this study provides
a platform to conduct similar studies across different cultures and
age groups to strengthen and generalize the present findings on the
dark side of social media. Finally, while there are many negative (dark
side) outcomes of social media use, such as social media fatigue, the
scope of the present study is limited to problematic sleep only.
Future studies should validate the proposed research model
on specific social media platforms to examine whether users of
certain platforms are more likely to experience problematic be-
haviours compared with others through deeper inferential analysis
(e.g., Instagram vs. Snapchat vs. Facebook). Future research could
investigate specific aspects of behavioural issues related to prob-
lematic sleep, including reduced sleep duration, delayed sleep and
dream- related problems connected with the latest social media
usage, among others. Furthermore, future researchers can expand
the model used in the present study by including other dark side
outcomes of social media use (e.g., social media fatigue) to provide
deeper insight into the behaviour. Demographic factors, including
age and gender, were controlled in this study, but the moderating
role of these factors could be studied in future research as well.
Recent studies have also suggested that pandemic outbreaks
(e.g., COVID- 19) adversely impact consumer behaviour to a large ex-
tent (Miri et al., 2020). The excessive use of social media platforms
during COVID- 19 restrictions has had negative fallout for social
media users across the world during the course of the pandemic.
According to WARC (2020), 47% of individuals between the ages of
16 and 64 years in 17 countries have spent a significant amount of
time on social media during COVID- 19. The excessive use of these
platforms is associated with various issues such as problematic
sleep, compulsive use, poor social media sleep hygiene and so on, as
discussed by the present study. Preliminary research has suggested
that COVID- 19 has resulted in ‘corona fatigue’ (King et al., 2020).
Accordingly, we recommend that scholars comprehensively assess
the outcomes of increased media consumption during the pan-
demic restrictions, with emphasis on the dark side of social media
use. Specifically, we suggest scholars utilize classic and contempo-
rary theories from interdisciplinary literature, such as the stressor–
strain– outcome model (Koeske & Koeske, 1993), social comparison
theory (Festinger, 1954) and the theor y of compensatory internet
use (Kardefelt- Winther, 2014), to generate research insights about
the severity of the impact of such heightened social media use.
6 | CONCLUSIONS
The increased use of social media today poses numerous socio-
psychological issues related to well- being for users across different
age groups, leading to the emergence of academic literature on the
dark side of social media. The present study augment s the findings
in this domain, with a particular focus on sleep, since getting good
sleep is a major indicator of well- being. The findings of this research
thus show that social media usage related to the stalking of oth-
ers’ profiles on social media and indulging in online self- disclosure
influences users’ sleep behaviour, especially among young adult s.
Following our proposal of social media users’ behaviour, grounded
in cognitive- behavioural theory, self- awareness theory and problem
behaviour theory, the findings repor t that social media stalking and
online self- disclosure affect young adult social media users’ sleep
hygiene and compulsive use tendencies. The findings offer different
theoretical and practical insights that could contribute to achieving
positive outcomes for the well- being of social media users.
CONFLICT OF INTEREST
No conflict of interest.
DATA AVAIL ABI LIT Y S TATEM ENT
The data that support the findings of this study are available from
the corresponding author upon reasonable request.
ORCID
Amandeep Dhir https://orcid.org/0000-0002-6006-6058
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AUTHOR BIOGRAPHIES
Amandeep Dhir is a Professor of Research Methods at
the University of Agder, Norway. He is also a visiting pro-
fessor at the Norwegian School of Hotel Management,
University of Stavanger, Norway. His research appears in
the Journal of Retailing and Consumer Ser vices, Journal of
Destination Marketing & Management, International Journal
of Contemporar y Hospitalit y Management, International
Journal of Hospitality Management, Technological Forec asting
and Social Change, International Journal of Information
Management, Computers in Human Behavior, Computers
in Industry, Journal of Cleaner Production, Food quality and
preferences, Appetite, Information Technology & People,
Australasian Marketing Journal, Enterprise Information
Systems, among others

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DHIR et al .
Shalini Talwar holds a PhD in Business Administration and
Management. Currently, she is an Associate Professor at
KJ Somaiya Institute of Management, Mumbai, India. Her
work has published in the Journal of Retailing and Consumer
Services, International Journal of Contemporary Hospitality
Management, International Journal of Hospitality Management,
among others.
Puneet Kaur is currently a postdoctoral researcher at Department
of Psychosocial Science, University of Bergen, Norway. Her re-
search appears in Journal of Retailing and Consumer Ser vices,
International Journal of Contemporary Hospitality Management,
International Journal of Hospitality Management, Technological
Forecasting and Social Change, International Journal of
Information Management, Computers in Human Behaviour,
Information Technology & People, among others
Sunil Budhiraja is a faculty member at Symbiosis International,
Pune, India. His work has been published in International Journal
of Manpower, IIMB Management Review, Human Resource
Management International Digest, among others.
Najmul Islam is an Associate Professor at LUT School of
Engineering Science, LUT University. He conducts cross-
disciplinary research in the area of technology development
and its impact on individuals, organizations and society.
Islam’s publication has appeared in top Information Systems
outlets such as European Journal of Information Systems,
Journal of Strategic Information Systems and Information
Systems Journal. He has published in other highly ranked
interdisciplinary journals such as Computers & Education,
Technological Forecasting and Social Change, International
Journal of Information Management, IEEE Access, Computers
in Industry, Information Technology & People, Computers in
Human Behavior, Internet Research, Communications of the
AIS, among others.
How to cite this article: Dhir A, Talwar S, Kaur P, Budhiraja S,
Islam N. The dark side of social media: Stalking, online
self- disclosure and problematic sleep. Int J Consum Stud.
2021;45:1373– 1391. https: //doi.org/10.1111/i jc s.12659