The Relationship between Personality Trait and Social Media Addiction
Maylaf Hiruy Alemayehu1*, Tamirie Andualem Adal2
1 Researcher, Information Network Security Agency, Ethiopia.
2 Associate Professor, School of Psychology, CEBS, Addis Ababa University, Ethiopia.
*Corresponding Author
Maylaf Hiruy Alemayehu,
Researcher, Information Network Security Agency, Ethiopia.
E-mail: mayhiruy@gmail.com
Received: December 05, 2020; Accepted: December 23, 2020; Published: December 29, 2020
Citation: Maylaf Hiruy Alemayehu, Tamirie Andualem Adal. The Relationship between Personality Trait and Social Media Addiction. Int J Behav Res Psychol. 2020;8(2):261-270. doi: http://dx.doi.org/10.19070/2332-3000-2000047
Copyright: Maylaf Hiruy Alemayehu© 2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Background: Many empirical studies indicated that social media use has increased substantially from time to time and it becomes
an important element of human life. However, social media can become problematic if its use is excessive.
Objective: The purpose of this study was to assess the level of social media addiction, and examine the relationship between
social media addiction and personality traits.
Methods: The study administered standardized and non-standardized questionnaires to 170 employees of Ethiopian Information
Network Security Agency.Both descriptive and inferential statistics were used to analyze the data.
Results: The findings of the study revealed that the majority of the participants spent 1-2 hours on social media per a day,
and they used social media sites (mainly Face book, using phones as a device) for communication purpose. Social media addiction
is found to be related to sex and time spent on social media, but not to age. Personality is another variable related to
social media addiction explaining as much as one-fifth of it. Hierarchical multiple regression analysis revealed that 27.2% of
the variance in social media addiction is explained by both sex and personality traits (openness, conscientiousness, agreeableness,
& neuroticism).
Conclusion: This study claimed that personality traits and sex play a vital role in determining the level of social media use.
Addictive use of social media was related to being a woman, having Openness and Neurotic personality traits and lower
Agreeableness. This study provides an empirical contribution to knowledge about the effect of personality traits and individual
differences on social media addiction.
2.Introduction
3.Method
4.Results
5.Discussion
6.Conclusion
7.Limitation and Future Direction
8.Acknowledgements
9.Ethics Approval and Consent to Participate
10.References
Keywords
Personality Traits; Big Five Inventory; Social Media Addiction.
Introduction
The booming in telecommunications made social media an essential
part of human daily lives [1]. Social media has become very
popular type of media which have many attributes and features
that provides a lot of services like a way of communicating, texting,
picture sharing, audio and video sharing, quick publishing or
posting,learn and share information instantaneously making the
world look like a small village [2]. Social media sites allow people
to communicate and interact with each other; as a result, the
number of social media users has seen rapid growth over the last
few years across the earth [3]. Social media sites provide platforms
where users can meet and form online communities. Also, marketing
professionals are increasingly using social media to connect
with audiences. As a result, social media sites have become a new
social tool [4].
Over the last few years, the use of social media has become an
increasingly popular leisure activity in many countries across the
world [2]. Given their social-oriented characteristics, social media
sites provide their users with an enjoyable interaction experiences.
However, despite these benefits,social media has brought about
detrimental side effects to society and these experiences may encourage
users to uses these platforms extensively and hence results
in addictive use behaviors.That the nature of social media
is easy, entertaining and cost effective encourages individuals to
stay long in it.
Even though there are billions of users on social media every day,
the time every user spends on and the levels of dependency vary.
The level of dependency refers to the extent to which people
have been emotionally connected to social media and the extent to which social media has integrated into people’s daily activities
[5]. The extent of using social media and its dependency might be
related to different factors including personality of people.
Personality is a stable psychological characteristic that predicts
a wide range of attitudes and behaviors. The five-factor model
of personality is one of the most influential personality theories
which differentiate individual differences in five main dimensions:
Neuroticism, Extraversion, Openness to experience, Agreeableness
and Conscientiousness [6].
Different studies showed that there were associations between
types of personality and social media usage [9, 12-16]. Although
research findings identify a connection between increased social
media use in the young adult population and individuals’ personal
characteristics in the same population, it is unclear how social
media use may be associated with users personality traits. Nevertheless,
there was some evidence of that differences in individuals’
personality traits determine their online behaviors. Previous
studies found out excessive social media use positively associated
with Extraversion and negatively associated with Conscientiousness
[9]. Addiction, on the other hand, was found to be related
positively to Neuroticism and Extraversion, and negatively to
Conscientiousness [10]. Other studies found that addictive use
of social media positively correlated with all Big five personality
traits: openness to experience, agreeableness, Neuroticism, Extraversion
and Conscientiousness [4, 11].
Taking the above points as an introduction, let us look into what
the major concepts described above. These are social media and
its usage, and personality trait and its relationship to use of social
media.
Social media first emerged in 1997 with SixDegrees.com being the
first, and the top five most popular ssocial media sites are Facebook,
LinkedIn, Pinterest, Twitter, and Instagram [8].
Statistics of social media by Digital in 2018 Global Overviewindicated
thatthere are 3.196 billion active social media users around
the world, which means that almost half of the world's population
spends at least part of their day updating their status or story
[18].
The history of the science of personality traits is contained mostly
within the twentieth century: the emergence of competing and
complementary approaches to personality; the survival of trait
and cognitive-behavioural approaches as the viable scientific ways
to study personality; the growth of many apparently disparate
trait systems, with respect to both the number and nature of traits
they contained; and the eventual converging consensus around a
relatively small number of broad personality domains [22].
Researchers of Psychology have developed a framework called
the Big Five-Factor Model [6, 7], which structures most of the
current studies of personality [23]. An influential model from the
last two decades of the twentieth century to date is the five factor
model. This system which includes five broad traits that can
be remembered with the acronym OCEAN: Openness, Conscientiousness,
Extraversion, Agreeableness, and Neuroticism. Each
of the major traits in the Big Five can be divided into facets to
give a more fine-grained analysis of someone's personality.
The five-factor model of personality (FFM) is a set of five broad
trait dimensions or domains, often referred to as the “OCEAN”
for the big five acronym or “Big Five”: Extraversion, Agreeableness,
Conscientiousness, Neuroticism (sometimes named by its
polar opposite, Emotional Stability), and Openness to Experience
(sometimes named Intellect). Highly extraverted individuals are
assertive and sociable, rather than quiet and reserved. Agreeable
individuals are cooperative and polite, rather than antagonistic
and rude. Conscientious individuals are task-focused and orderly,
rather than distractible and disorganized. Neurotic individuals are
prone to experiencing negative emotions, such as anxiety, depression,
and irritation, rather than being emotionally resilient. Finally,
highly open individuals have a broad rather than narrow range of
interests, are sensitive rather than indifferent to art and beauty,
and prefer novelty to routine [7].
The Big Five/FFM was developed to represent as much of the
variability in individuals’ personalities as possible, using only
a small set of trait dimensions. Many personality psychologists
agree that its five domains capture the most important, basic individual
differences in personality traits and that many alternative
trait models can be conceptualized in terms of the Big Five/FFM
structure. Each factor has also its own several “sub traits” [6].
Studies on social media indicated that there was a sex and age variation
in usage and attitudes of social media. A study finding [13]
suggested that both boys and girls equally prefer to join online
activities.On the contrary another study [11] founded that women
were four to five times more likely to use social networking sites
than men.Similarly, research has more consistently shown that addictive
use of social media is more prevalent among women than
men [9, 10], and it has been suggested that women are more inclined
to develop addictive behaviours towards activities involving
social interaction [10, 2]. Furthermore, studies also report higher
scores on social media addiction scales in younger compared to
older people [31, 2]. This has good face validity as these online
platforms play a crucial role in the leisure and social lives of adolescents
and young adults [30]. A study finding [29] showed that a
significant difference in the mean frequency use of social media
within a week based on age categories: [F (2, 297) = 59.485, P <
.05]; and overall significant difference among each age categories,
especially the 19 to 21years old students frequently visited SM
sites within a week than the other age categories. Young people
have quickly become accustomed to being constantly “online”,
and appear to adapt to new technologies faster than their older
counterparts [9]. A study [32] indicated that a significant difference
between age and the use of SNS which showed the time
spent on SNS decreased as the age of the respondent increased.
Many empirical studies indicate that social media use has increased
substantially over the last few years. Previous studies have
empirically investigated the relationship between personality traits
and user’s social media usage or addiction by applying five-factor
model of personality which categorizes five dimensions: Extra version, Agreeableness, Conscientiousness, Neuroticism and
Openness to experience [3, 4, 11, 13]. Yao (2015) examined the
relationship between personality and Facebook usage. The study
was conducted on 39 college students aged between 19 to 24
years, Results showed that Facebook addiction had negative correlation
with Neuroticism, Conscientiousness, Extraversion and
Agreeableness; and positively correlate with Openness [3]. Nihan
and Burcu (2013) also investigated the relationship between social
media and users’ personality among 503 university students
aged between 18 and 25 years. The researchers employed quantitative
research design and used a questionnaire comprising the
five-factor model of personality. The results of the study found
that personality traits of conscientiousness and openness to experience,
and demographic variables of education and income level
are significant predictors of social media use. The relationships
with the other factors examined were not significant [4]. Wilson
et al., (2010) conducted a study on 201 students in an Australian
university, (of those, 76% were female and 24 % were males, with
a mean age was 19 years) to examine personality factors via the
short version of the NEO Personality Inventory, time spent on
using Social networking sits, and an Addictive Tendencies Scale
[9]. The results of a multiple regression analysis revealed that high
extraversion and low conscientiousness scores significantly predicted
both addictive tendencies and the time spent using SNPs.
The researcher pointed out the relationship between extraversion
and addictive tendencies could be explained by the fact that using
social network sits satisfies the extraverts’ need to socialize.
Andreassen et al. (2013) suggested that Facebook Addiction have
positive relation with various personality traits (e.g., neuroticism,
extraversion), and negatively related to others (e.g., conscientiousness).
High scores on the new scale were also associated with going
to bed very late and getting up very late [10].
Hwang (2016) examined the influence of personality traits on
Facebook addiction among college students. Results from a survey
of 235 college students revealed that extraversion and neuroticism
positively predicted Facebook usage. The researcher employed
quantitative research design and instruments of Big Five
inventory and Facebook Addiction scale were used. To investigate
the effects of personality traits on SNS addiction, the researcher
employed regression analysis [24]. Rabaai et al. (2015) examined
the relationship between personality traits and social network
platforms (SNPs) addiction [11]. Data was collected from 434
university students. The researchers adapted Young’s (1996) Internet
Addiction Test and Big Five Inventory (44 item) to measure
social network platforms (SNPs) addiction and personality traits
respectively.
Amichai-Hamburger et al., (2010) indicated that social media
addictive tendencies have been positively related to neuroticism
[1]. It is assumed that SMS may be a way of seeking support for
people in high neuroticism. Yao (2015) suggested that there was
a significant correlation between neuroticism and social media
addiction [3]. Mark and Ganzach (2014) argued that neuroticism
should be positively related to general Internet use [26]. Addictive
tendencies have been positively related to neuroticism [13]. It is
assumed that social media may be a way of seeking support for
people in high neuroticism.
In addition, people with high scores on neuroticism have taken more time for social connection in their SNS communication
compared to face-to-face interaction [23]. Amiel and Sargent
(2004) found people high in neuroticism enjoy their time on the
social media and spend more time on it [14]. Moreover, Wehrli
(2008) argue that people high in neuroticism had greater instant
messaging use [15]. That is, people with higher levels of neuroticism
are more likely to suffer from social networking addiction.
Andreassen et al. (2013) argued that neuroticism may be a general
vulnerability factor for the development of psychopathology [10].
The authors also suggested that behavioral addictions may reflect
a preference to do something alone to avoid feeling anxious. Wilson
et al. (2009) generated a different result and found a negative
relationship between levels of the social media usage and neuroticism
[9].
Wehrli (2008) reported that there was a significant negative correlation
between conscientiousness and social media use [15].
Landers and Lounsbury (2014) alsoindicated that low conscientiousness
scores significantly predicted both addictive tendencies
and the time spent using social media [12]. People who score low
on conscientiousness tend to use the Internet more frequently
than those who score high on this personality trait [9]. The same
finding was also suggested by [13] who concluded that conscientiousness
is negatively associated with the social media use. Because
of characteristics of conscientiousnesspeople who are high
in this personality tend to be cautious of being online, which in
turn, drives them to meet friends offline [16]. In addition, low
conscientiousness scores significantly predicted addictive behaviors
[13]. People who score low on conscientiousness are assumed
to use SNS as a means of procrastinating [23]. People who are
high in conscientiousness have fewer online friends than those
people who are low in conscientiousness. Conscientious individuals
will refrain from high investments in social media profiles;
they will stick to their main goals and try to avoid such sources
of distraction. People, who are low in conscientiousness, spend
more time on the social media because they are inefficient and
disorganized.
Yao (2015) showed that non-significant negative correlation between
agreeableness and Facebook addiction: r (39) = -0.043,
p>.05 [3]. Other studies also found no association between agreeableness
and social media usage [27]. However, Golbeck et al.
(2011) indicated that agreeable individuals have successful friendships
[16]. It can be inferred that agreeable people are satisfied
with their interpersonal communication in the real life so that they
do not necessarily need to seek friendship in the virtual world.
while people who are low in agreeableness possess characteristics
like pessimistic and has a negative view of human nature, suspicious
and paranoid, puts their own interest before others, and unsympathetic
tend to be fond of spending more time online where
it requires less agreeable behaviours [12].
Yao (2015) indicated that the personality trait of Openness and
Facebook dependency was positively correlated r(39)= 0.185 [3].
Mark and Ganzach (2014) argued that Openness positively related
to general Internet use [26]. Evidence also suggests people who are open to new experiences are heavier users of social media
[27]. Wehrli (2008) suggested that people who are high in this
personality trait tend to explore, to experience, and to keep pace
with new social networking technologies [15]. It implies that people
who are high in openness to experience are associated with
high usage of social media. Wehrli (2008) also suggested that the
Openness dimension measures the propensity of individuals to
display imagination, curiosity, originality and open-mindedness.
Low openness scores indicate people who are practical, traditional
and down-to-earth [15]. In the context of social media it is expected
that individuals with high scores on openness to be more
likely to try, to use and to keep up with new social networking
platforms. For instance, high openness to experience is reflected
in curiosity and novelty-seeking; low levels are evident in preferences
for adhering to convention and established patterns [6].
Mark and Ganzach (2014) argued that extroversion was positively
related to general Internet use [26]. Further, Gosling et al. (2003)
claimed that extraversion was positively related to social media usage
[28]. Ross et al., (2009) also found extraversion was positively
related to belonging to social media groups, but there was no association
with how they communicated on the site [27]. Wilson et
al. (2010) indicated that high extraversion scores significantly predicted
both addictive tendencies and the time spent using social
media. The study reported extraverted individuals to have higher
level of social networking use [9]. Some previous studies insisted
that extraversion was positively related to Internet use in general.
With respect to SMS, similar findings have been reported; people
in high extraversion use SMS more excessively. It is explained
that extraverts use SMS for social purposes, while introvert use
it for social compensation. Nonetheless, each of them appears
to be related to excessive use of SMS [2]. Hughes et al. (2012)
suggested in his study that non-significant correlations observed
between Facebook Addiction and Extraversion [5]. People who
tend to be more anxious, lonely, and introverted used the Internet
to compensate their real-world isolation in these early studies of
Internet use [1].
The current study is intended to examine the correlation between
personality traits and social media addiction. In line with
the above empirical studies the researchers employed quantitative
research design and the study used university graduate new employees
as samples. Instruments of [6] Big Five personality Inventory
44 items version and Young’s (1996) Internet Addiction Test
consists of 20 items adapted and used to assess employees level
of social media addiction and personality types respectively. The
reliability and convergent validity of these instruments were high
in the previous studies [3, 5, 6].
Ethiopia started to use basic Internet technology, i.e. storage and
e-mail services, in 1993 with the support of the UN Economic
Commission for Africa [19]. The daily connection was made via
direct dial calls to Green Net’s Internet gateway in London. The
service was mainly used by international organizations and Non-
Governmental Organizations; however, some academics, individuals,
and private companies also took advantage, as there was no
other service available. During this initial phase it was estimated
that up to 1200 people were using the service at its peak [19].
The state owned Ethio-Telecom provides internet service for the
country since 1997.Internet services were limited to dial-up access
and local website hosting and development [19]. A baseline
study on the ICT penetration and usage in Ethiopia, which was
conducted in 2002, shows that organizations mainly used Internet
technology for e-mail at the time when Internet was first introduced
in Ethiopia. The data from internet World state website
clearly shows that there is a significant increase in a number of
internet users within last 10 years. Within the last five years the
change is reasonably dramatic even if the population penetration
rate is low. Recently in Ethiopia, Internet, mainly social media is
the main parts of political, social and economic spheres of life
[20]. Social media is a base for the emergence of various social
media to support the changing perspective of the life of society.
Recently, in Ethiopia there are 16,437,811 Internet users, and
4,500,000 active Facebook users with 4.3% penetration rate (Internet
world stats, 2018). Out of total social media users in the
country; 70.66% use Facebook, 11.86% use Pinterest, 11.44% use
Youtube, 3.79% use Twitter, and 0.77% use Google+, 0.43% use
LinkedIn [21].
In Ethiopia, the number of internet and social media users is increasing
due to globalization [17]. Although this has quickly become
as a result of globalization and modernization; concerns
have been raised regarding the potential addictive use of social
media.
In developed countries the issue of differences in individuals’
personality traits and users’ social media addiction apprehends researchers’
attention, but in developing countries like Ethiopia, it
is unexplored area and if the area is left unstudied to the future,
the problem of social media addiction in the country would get
worse. As a result, to the best of our knowledgethis study was
conducted with the hope to understand and investigate whether
personality traits considered as a significant variable in determining
users’ social media addiction, in joining social media sites and
its relationship with social media addiction in Ethiopia context.
In order to fill the gaps mentioned above and to expand previous
researches in Ethiopian context the researchers intended to conduct
this study. This study aimed to examine the relationship between
personality traits, social media addiction and demographic
characteristics among a employees of Information Network Service
Agency in Ethiopia.
This study, therefore, is directed to answer the following research
questions:
1. What are purposes of employees’ use of social media?
2. To what extent do employees’ use social media?
3. What is the relationship between personality trait and social media addiction?
4. Is there a statistically significant difference on social media addiction across employees’ demographic characteristics (age and sex)?
Method
This section includes participants and their sampling, variables
and their measurement, and the analysis method of the study.
The target population of the study was employees of Information
Network Security Agency new, who graduated and was directly
recruited from different higher education institutions of
Ethiopia in 2016/17 academic year. The total number of new
recruited employee of the organization in the year 2017 was 320
(213 males and 107 females). Majority of the organization employees
are youth (in 20s) who have joined the organization immediately
after their graduation.
For this study a total of 170 respondents was taken (52.4% males
(N=89) and 47.6% females, N=81). The respondents’ ages ranged
from 18 to 30 years old. The age range is divided into four categories
which are 18-21, 22-25, 26-30, and above 30 years. The majority
of the participants, 64.1.5% (N= 109) are between 22–25
age category. Almost 22% (N=37) of them are between 26-30
age range, 11% (N=18) between 18-21 age range, and 4% (N=6)
were above 30 age category. In terms of their education background,
53.5% (N=91) were from social science field of studies,
and 46.5% (N=79) were from natural science field of studies.
The researchers used self-report questionnaires as an instrument
to collect data from the sample respondents.
The scales for measuring social media addiction and personality
traits were adopted by the researchers from previous researches
and standardized tests [6, 25].
The researchers used Big Five model of personality (also known
as the Five Factor Model) in order to investigate participants’
personality traits. The researcher used 44-item Big Five Inventory
(BFI) instrument [8]. The instrument included 10 items for
Openness to experience, 9 for Conscientiousness, 8 for Extraversion,
9 for Agreeableness, and 8 for Neuroticism. The survey
items was rated on five point Likert scales ranging from “strongly
agree” to “strongly disagree” to describe their personality. BFI
was scored by adding the answers to a series of eight to ten appropriate
questions. Some of the BFI scores were reversed before
calculating total scores for each of the measured scale.
Three items from each of Neuroticism and Extraversion, two items from Openness, four items from each of Agreeableness
and Conscientiousness were reverse scored.
Social Media Addiction Scale [25] is a 20-item survey with sixpoint
scale that range from Never to Always. In order to determine
the level of social media addiction, and relate it to personality,
the researchers validated the instrument of Social Media
Addiction Scale using confirmatory factor analysis (as presented
below).
The instrument measuring social media addiction was assessed
for its confirmatory factor analysis (using AMOS 23) on the 170
participants indicated above. As presented in the figure above, the
instrument’s original uni-dimensionality was confirmed (χ2/df =
1.52; GFI = .88; CFI = .91, RMSEA = .06).
A total of Social Media Addiction score was calculated with the
sum of 20 items making the range of the total score from 0 to
100.Total scores that range from 0 to 30 points are considered to
reflect a Normal level of social media usage; scores of 31 to 49
indicate the presence of a Moderate level of social media addiction;
50 to 79 reflect the presence of a High level; and scores of
80 to 100 indicate very high or a Severe level dependence upon
the social media.
The reliability (Cronbach’s alpha) of the instruments (social media
addiction and personality traits) was tested two times.One was
made on a pilot sample of 40 and the coefficients were varying
from 0.77 for Neuroticism, to 0.81 for Conscientiousness, and to
0.90 for Social Media Addiction. The reliability presented below
is a result of the second and final sample.
As presented above the reliability for the final study was made on
170 participants and the reliability ranges from 0.79 (Agreeableness)
to 0.82 (Openness to experience) to 0.91 (Social Media Addiction.
These coefficients are more than the minimum standard
(suggested by Nunnally & Bernstein, 1994) [33].
To analyse the data collected through data collection instruments
the researchers used both descriptive and inferential statistics.
Descriptive statistics such as frequency, cross tabulation and percentagewere
employed to analyze the socio-demographic characteristics
and other basic information of respondents. Second,
inferential statistics, like Independent sample t-test was employed
to test sex difference on social media addiction. One way ANOVA
was applied to examine differences in social media addiction
across employees’ age categories. Multiple regression analysis was
carried out in order to see the relationship of personality traits
and sex on social media addiction scores. The necessary assumptions
of the statistical test such as linearity, normality, and homogeneity
of variance were assessed and found it to be tenable.
Regarding the scoring of the data, the demographic variable, sex was coded 1 for male and 2 for female, whilst age was grouped
into four groups, 18-21, 22-25, 26-30, and above 30.
The researchers analysed the data using Statistical Package for Social
Sciences (IBM SPPS Version 20) and AMOS 23.
The researchers considered ethical issues in data collection and
data management. Informed consent and confidentiality were
some of the ethical considerations observed in the study.
Results
This section of the study describes the data that are in line with
the research questions raised in this research. The purposes and
extent of social media usage, the relationship of social media usage
with demographic variables and personality traits are presented
sequentially.
As described in the table below, over three fourth of the respondents
(77%) reported that they use social media from one to four
hours a day.
Looking into the data in detail, from among a total of 170 respondents,
a high percentage of participants (53.5%, N= 91)
spent their time on social media for 1-2 hours. The above table
also shows that 23.5% (N=40) of employees use social media for
3-4 hours per day. The remaining twenty three percent of the
participants spend less than one hour (10%) and over five hours
(13%) of their time in social media.
Regarding the purpose of using social media, respondents were asked to indicate one or more of the purposes of using social media usage. The majority of participants (77.1%) reported to have used to communicate with their friends, families and relatives. Another purpose reported by many participants is searching of new information and gaining academic knowledge (71% and 67%, respectively).
Table 2. The Extent and Purpose of Employees’ Social Media Usage; Types of Social Media Sites and Devices Used by Employees.
Together with the purpose and frequency of social media usage, respondents were asked to select one or more media cites and devices they used.The most frequently visited social media site was Facebook, frequented by almost 93%. The next highly used media cites are YouTube (frequented by almost 68%), Viber (frequented by almost 52%), & telegram (frequented by almost 49%).
In line with the type of device that the respondents used, majority of participants 84.6% (N=143) accessed social media sites using mobile devices (phones). 34.3% (58) of respondents used laptop computers. 24.3% (41) of respondents used desktop computer and 3.6% (6) of respondents used palmtop computer.
The role of the demographic variables in social media addiction
is important before explaining it in terms of personality traits.
Social media addiction in relation to sex and age are presented in
order below.
The Independent sample t-test [t168 = -3.385, p< .05, 95% CI=
[-14.731,-3.878] revealed that there is statistically significant difference
between males and females on social media addiction.
The average level of social media addiction was significantly higher
among females (almost 53) than among males (almost 44). This
means that females use the social media more than males.
As one way ANOVA, computed above, shows social media addiction
is not related to [F(3,166)= 0.332, p=.802, η2=.006] employees’
age which means that social media addiction does not vary across
the four age groups [18-21 (M =44.61, SD = 17.942), 22-25 (M
=47.99, SD = 18.321), 26-30 (M =49.14, SD = 19.829), >30 (M
=51.83, SD = 15.943)].
Table 6. Summery of Hierarchical Multiple Regression of Social Media Addiction on Sex and Personality Traits.
The main interest of this study was investigating the relationship between personality traits and social media addiction. Pearson‘s
product moment correlation (Bivariate correlations) was utilized
to test the correlation between Social media addiction and the five
personality traits.
Table 7. Hierarchical Multiple Regression Analysis on Social Media Addiction, Demographic Variables and Personality Traits.
As seen in the table above (the last row), the result of Pearson product momentum correlation revealed that Social media addiction has a statistically significant correlation with Openness [r(170) = 0.249, P=.001], Conscientiousness [r(170) = -0.206, P=.007], Agreeableness [r(170) = -0.258, P=.001], and Neuroticism [r(170) = 0.329, P<.001], but not significantly related with Extraversion [r(170) = -0.128, P=.097]. From among the significant correlations, the two are positive (with higher values in openness and neuroticism goes with higher level of social media addiction) and the other two are negative (with higher values in conscientiousness and agreeableness goes with lower level of social media addiction).
The researcher also used Pearson‘s product moment correlation in order to test the inter correlation between the five personality traits. The result of Pearson‘s product moment correlation coefficient revealed that there was a statistically significant relationship between Openness and Neuroticism [r(170) = 0.214, P=.005], Openness and Agreeableness [r(170) = 0.270, P<.001], Conscientiousness and Extraversion [r(170) = 0.223, p = .003], Conscientiousness and Agreeableness [r(170) = 0.271, p<.001], Extraversion and Agreeableness: [r(170) =0.169, p=.028].
To investigate the overall influence (predictive capacity) of personality traits and sex on social media addiction, multiple regression
analysis was conducted and presented as follows.
The analysis of social media addiction as a criterion and sex
and personality traits as predictor showed that over one fourth
(27.2%) of the variance of the dependent variables is explained
by the independent variables.
The result of hierarchical multiple regression analysis showed that
the contribution of sex to social media addiction is statistically
significant explaining as much as 6.4% of the variability. As presented
in the table below the partial effect of sex (when personality
trait effects are made constant) on social media addiction is
also statistically significant (β=-.253, p=.001). When the role of
sex is controlled the contribution of all the five personality factors
amounts as much as 20.8%. As shown in the table below, the four
personality traits found to be correlated with statistical significance
using Pearson product moment correlation, are not found
to be same in the multiple regression result. Personality traits of
Agreeableness (β=-.274, p<.05), Openness (β=.274, p<.05), and
Neuroticism (β=.221, p<.05) were found to be statistically significant
in the prediction of social media addiction. Personality traits
of Consciousness (β=-.085, p=.232,) and Extraversion (β=-.057,
p=.413) were not statistically significantly related to the criterion
variable. The direction of relationship of each variable is not
changed from the bivariate analysis to the multivariate analysis
with openness and neuroticism positively correlated and agreeableness
negatively correlated.
Discussion
The rate of increase of social media usageis faster than one can
imagine. In spite of its usefulness the risk associated to it calls
for the attention of researchers (for assessing and explaining) and
policy makers (for regulating it). Due to this, this study planned
to assess and explain social media usage. Particularly, this study
investigated the association between individuals’ particular personality
traits, demographic characteristics and social media addiction
in Ethiopia.
The findings of the current study were broadly consistent with
previous researches.This study found out that many participants
were found to be at high level of addiction. Individuals used social
media sites for different purposes, including communication
and seeking academic knowledge and new information.Another
finding of this study was that personality traits are related to the
level of social media use. Openness, Agreeableness, and Neuroticism
were found to be significant predictors of the amount of
social media use. In addition, sex was associated with social media
addiction. The idea that social media addiction is related to sex
with females more likely to be addicted than males is consistent
with different studies [9, 11]. In relation to the direction of relationship
when openness and neuroticism are positively related to
social media addiction, agreeableness was related to it in a negative
direction consistent with previous studies [1, 3, 5, 9, 14].
Even though the finding of the current study was not as influential
as the researchers’ prior expectation, it can be taken as a
reference when compared with the findings of some previous researches
including studies mentioned above.
Conclusion
The findings of the study revealed that the majority of the participants
spent 1-2 hours on social media per a day which might not
be taken as a problem at this time, and they used social media sites
(mainly Face book, using phones as a device) for communication
purpose.
The level of social media use is found to be related to personality
traits and gender, but not to ages of respondents. Women seem
to be practicing social media use more than men in the institution.
When Openness, Neuroticism and Agreeableness were related to
social media use, personality traits of Consciousness and Extraversion
were not. Openness made the strongest contribution to
explain the variance of social media addiction.
As an implication, examining why some people are addicted to
social media and others are not may help us to gain understanding
of the role of personality and social media usages. The researchers
believed that the present study provides an empirical
contribution to knowledge about the effect of personality traits
and individual differences on social media addiction in Ethiopia.
Limitation and Future Direction
This research, like any other, had its own set of limitations. The
limitation of this study was predominantly related the data gathering
instrument. The instruments are only partially validated with
pilot study and confirmatory factor analysis of only social media
addiction. Further validation of the standardized tools seems important
for meaningful cross country comparison of the studies.
Another limitation of this study is that the generalizability of the
study to Ethiopian setting is not possible. The participants of this
study are limited in number of participants, geographical, and
cultural setting. The participants could be labeled homogeneous
compared to the diversity of the population in Ethiopia.
Another limitation of the study is that the design of the study
does not help to make causal analysis of the relationship of personality
traits and social media addiction.
Acknowledgements
We would like to express our sincere thanks to Information Network
Security Agency (INSA) and the study participants for their
cooperation.
Ethics Approval and Consent to Participate
This study was reviewed and approved by the Addis Ababa University
Faculty of Education and Behavioral Sciences, School of
Psychology ad hoc research ethics committee. All study participants
were asked for their informed consent to participate.
References
- Amichai-Hamburger Y, Vinitzky G. Social network use and personality. Comput. Hum. Behav. 2010 Nov 1;26(6):1289-95.
- Kuss DJ, Griffiths MD. Online social networking and addiction—a review of the psychological literature. Int. J. Environ. Res. Public Health. 2011 Sep;8(9):3528-52.
- Yao Z. The Relationship between Personality and Facebook Usage. 2015.
- Nihan, Ö. & Burcu, M. The relationship between personality traits and social mdia use. Society for Personality Research.2013;41(3):517-528.
- Hughes DJ, Rowe M, Batey M, Lee A. A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Comput. Hum. Behav. 2012 Mar 1;28(2):561-9.
- John OP, Srivastava S. The Big Five trait taxonomy: History, measurement, and theoretical perspectives. Handbook of personality: Theory and research. 1999 Mar;2(1999):102-38.
- McCrae RR, Costa Jr PT. A contemplated revision of the NEO Five-Factor Inventory. Pers. Individ. Differ. 2004 Feb 1;36(3):587-96.
- Boyd DM, Ellison NB. Social network sites: Definition, history, and scholarship. J. Comput.-Mediat. Commun. 2007 Oct 1;13(1):210-30.
- Wilson K, Fornasier S, White KM. Psychological predictors of young adults' use of social networking sites. Cyberpsychol Behav Soc Netw. 2010 Apr 1;13(2):173-7.
- Andreassen CS, Griffiths MD, Gjertsen SR, Krossbakken E, Kvam S, Pallesen S. The relationships between behavioral addictions and the five-factor model of personality. J. Behav. Addict. 2013 Jun 1;2(2):90-9.
- Rabaa'i AA, Zogheib B, AlJamal E. Personality traits as predictors of social networks addiction among university students. J Emerg Trends Eng Appl Sci. 2015 Jun 1;6(3):182-95.
- Landers RN, Lounsbury JW. An investigation of Big Five and narrow personality traits in relation to Internet usage. Comput. Hum. Behav. 2006 Mar 1;22(2):283-93.
- Ryan T, Xenos S. Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Comput. Hum. Behav. 2011 Sep 1;27(5):1658-64.
- Amiel T, Sargent SL. Individual differences in Internet usage motives. Comput. Hum. Behav. 2004 Nov 1;20(6):711-26.
- Wehrli S. Personality on social network sites: An application of the five factor model. Zurich: ETH Sociology (Working Paper No. 7). 2008 Sep 5.
- Golbeck J, Robles C, Turner K. Predicting personality with social media. InCHI'11 extended abstracts on human factors in computing systems. 2011 May 7 (pp. 253-262).
- Freedom on the Net. 2014.
- Global Social Media Statistics. Digital in 2018 global overview.2018 May 5.
- Jensen M, Sarroco C. Internet from the horn of Africa: Ethiopia case study. Geneva:ITU. 2002.
- Internet World Statistics. Internet users’ statistics for Africa: Africa Internet Usage, 2018 Population Stats and Facebook Subscribers. Retrieved on May 2018, from http://www.internetworldstats.com/stats1.htm
- Global Stats. Social Media Stats in Ethiopia, April 2017 to April 2017. Retrieved on May 5, 2018, from http://gs.statcounter.com/social-media-stats/all/ethiopia
- Goldberg LR. An alternative" description of personality": the big-five factor structure. J Pers Soc Psychol. 1990 Dec;59(6):1216.
- Correa T, Hinsley AW, De Zuniga HG. Who interacts on the Web?: The intersection of users’ personality and social media use. Comput. Hum. Behav. 2010 Mar 1;26(2):247-53.
- Hwang HS. The Influence of personality traits on the Facebook Addiction. KSII transactions on internet & information systems. 2016 Feb 1;11(2).
- Young KS. Pathological Internet use: The emergence of a new clinical disorder. Cyberpsychol Behav. 1996 Aug;1(3):237-44.
- . Mark G, Ganzach Y. Personality and Internet usage: A large-scale representative study of young adults. Comput. Hum. Behav. 2014 Jul 1;36:274-81.
- Ross C, Orr ES, Sisic M, Arseneault JM, Simmering MG, Orr RR. Personality and motivations associated with Facebook use. Computers in human behavior. 2009 Mar 1;25(2):578-86.
- Gosling SD, Rentfrow PJ, Swann Jr WB. A very brief measure of the Big- Five personality domains. J Res Pers. 2003 Dec 1;37(6):504-28.
- Ahmed MR. Social Media Usage, Sexual Behavior and Risk Perception among Adolescents’ of Some Private High Schools in Addis Ababa.2014.
- Allen KA, Ryan T, Gray DL, McInerney DM, Waters L. Social media use and social connectedness in adolescents: The positives and the potential pitfalls. Aust. Educ. Dev. Psychol. 2014 Jul 1;31(1):18-31.
- Andreassen CS. Online social network site addiction: A comprehensive review. Current Addiction Reports. 2015 Jun 1;2(2):175-84.
- Ahmed N. The usage and implications of social networking sites: A survey of college students. Journal of Interpersonal, intercultural and Mass communication. 2011;2(1).
- Nunnally JC. Psychometric theory 3E. Tata McGraw-hill education; 1994.