Influence of Self-Esteem and Loneliness on Online Communication
Ligeng Zhang
Major in Radio and Television Director, Inner Mongolia Honder College of Arts and Sciences, 010000, China
Keywords:
Big Data, Internet Communication, Loneliness, Internet Use, Self-Esteem.
Abstract:
With the vigorous development of online communication, big data has gradually entered the people's field
of vision, and our thinking and behavior habits are quietly changing. Self-esteem and loneliness, as a unique
psychological feeling of human beings, are also agitated with our own innovation. How does self-esteem
and loneliness play a role in online communication? What impact did it have? These questions aroused
people's thinking. The purpose of this article is to study the influence of mutual self-esteem and loneliness
on online communication. This research starts from online communication, analyzes and investigates the
factors of online communication preferences, compiles online social preference measurement tools, explores
the influence of self-esteem and loneliness on online communication, and analyzes the two different social
supports of real social support and online social support the role of style in the relationship between online
communication preferences and self-esteem and loneliness. This study uses quantitative research methods to
explain the online social status of adolescents with strong self-esteem and loneliness, and supplements the
interview method in qualitative research methods to further understand the reasons for the formation of
adolescents and loneliness, as well as the influence of self-esteem and loneliness on the Internet Whether the
interaction behavior has an impact. The survey results show that 75% of teenagers’ loneliness is within the
range of strong loneliness, and 23% of teenagers’ loneliness is within normal levels, indicating that most
teenagers are still very lonely in the environment of online communication.
1 INTRODUCTION
Nowadays, the application of big data in all walks of
life is in full swing, and everyone is exploring the
value of big data, and social networks are an
important position for data generation. (Xia, 2019;
Social Science Computer Review, 2019) Nowadays,
network communication plays an increasingly
important role in people's lives. It has gradually
integrated into people's daily life and has become a
part of people's daily life. (Szczeniak, 2020; Zhang,
2019)
And with the participation of more and more
individuals, companies, groups, etc., social networks
have gradually become a window for people to
obtain information, show themselves, and promote
marketing. (Du, 2018; Iskender, 2018) Network
communication is an extension of real social
interaction in virtual space, and it is also a
supplement to real communication. (Kareen, 2018;
Bachnio, 2018) However, the many undesirable
phenomena that accompany it are also increasingly
noticeable. Self-esteem and loneliness are
unpleasant emotional experiences when individuals
are unable to satisfy the quantity and quality of their
own social interactions. (Andrzej, 2019; Pilar, 2019)
Research on the influence of self-esteem and
loneliness on online communication has become the
focus of research in the fields of psychology and
pedagogy.
In the research on the influence of self-esteem
and loneliness on online communication, many
scholars have conducted in-depth analysis and
achieved good results. For example, Xue Y explored
the relationship between online social networks
OSNs (onlinesocial networks) and loneliness, and
developed A model was developed to explain the
influence of relationship characteristics (such as
self-disclosure and network ability) and OSN
characteristics on the perception of loneliness. The
results show that the degree of online network use is
negatively correlated with loneliness, that is, more
online social networks are used, and loneliness is
greater. (Xue, 2018) Based on the questionnaire
survey samples, Arianna used descriptive statistics,
factor analysis, and correlation analysis to conclude
that “on the one hand, loneliness prevails among
netizens in my country. The stronger the sense of
Zhang, L.
Influence of Self-Esteem and Loneliness on Online Communication.
DOI: 10.5220/0011731100003607
In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2022), pages 105-111
ISBN: 978-989-758-620-0
Copyright
c
2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
105
loneliness, the deeper the dependence on the
Internet, the deeper the application of various
functions of the Internet, the overall use of the
Internet helps to weaken the feeling of loneliness of
Internet users. (Arianna, 2019)
This article first uses questionnaire surveys to
investigate the current status of online social
interaction of young people, including online social
objects, social content, social motivations, and social
channels. The data application of online
communication behavior in the era of big data is
used to explore and analyze self-esteem and
loneliness. Strong and weak network interactions
and interpersonal relationships change. Furthermore,
the UCLA loneliness scale was used to investigate
the loneliness of urban youth living alone in the
online social environment. At the same time,
through the interview method, we have in-depth and
supplemented the understanding of whether young
people's online communication can help alleviate
loneliness, and whether face-to-face social
interaction or online social satisfaction is better. This
research also puts forward countermeasures on how
to alleviate loneliness when interacting online.
2 THE INFLUENCE OF
SELF-ESTEEM AND
LONELINESS ON ONLINE
COMMUNICATION
2.1 Relationship Between Self-Esteem,
Loneliness and Online
Communication Preferences
Subjectively, the non-face-to-face nature of online
communication will reduce social anxiety and
self-awareness, and bring people more positive
subjective experiences such as safety, effectiveness,
and self-protection, but objectively, the intermediary
nature of online communication itself, the absence
of the body leads to the lack of non-verbal cues in
the social process, reduces the amount of
information resources in the social process, and
limits the establishment of effective interpersonal
relationships.
The public's understanding of the various
characteristics of online communication and their
own positive views on online communication are
significantly related to their gaining more
instrumental support. The richer the actual
interpersonal relationship and social support
resources, the individual will hope to extend this
good state to network communication, thus forming
a preference for network communication that is
consistent with the actual support resources. The less
the subjective experience of being respected,
supported, and understood in real social life, the
worse the real social ability. This may be because it
is difficult for individuals to obtain good
interpersonal relationship experience in social life,
resulting in insufficient social confidence, and thus
Hindered the development of its social skills.
Preference for online communication will bring
about the negative consequences of loneliness, but
preference for online communication does not
necessarily bring about the negative consequences of
loneliness. This effect is not direct. The preference
for online communication will come through the role
of online social support. Affecting loneliness will
also affect loneliness through real social support.
Therefore, although the preference for online
communication may have many negative
consequences, if the individual has a good real social
support system and his various needs and supports
can be met in online communication, it may not be
easy to feel lonely negative consequences.
Moreover, online communication preferences can
influence individual online social support through
real social support, which better explains that online
communication is the extension and expansion of
real social in virtual space.
2.2 Measures to Regulate the Use of the
Internet and Reduce Loneliness
2.2.1 Develop Good Surfing Habits
First, make a schedule for surfing the Internet. For
young people with poor self-control in using the
Internet, if necessary, they can restrict themselves by
planning their time online. Develop a weekly or
monthly online schedule, indicate the specific time
period and specific items for using the Internet, and
strictly follow the table time to access the Internet.
Second, clarify the purpose of surfing the Internet.
Before going online, teenagers do not think they will
be addicted to the Internet, but once they enter the
Internet, they are out of their control and
unconsciously attracted by things on the Internet.
Therefore, when you have a clear goal, you can
choose to go online. If the goal is achieved, you will
leave the network and avoid sinking.
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106
2.2.2 Be Aware of Network Security
First of all, it is necessary to learn to distinguish and
choose carefully in terms of obtaining online
information and online dating. The information on
the Internet is mixed. Because of their inexperience
in society, young people are easily deceived by false
information and used by people with ulterior
motives. When using the Internet, you must be
vigilant and always give yourself some
psychological hints to help you maintain a high
degree of self-consciousness when surfing the
Internet, be able to distinguish right from wrong, and
use the Internet safely.
Second, there must be a sense of self-protection.
The most basic thing in the interaction between
people is mutual trust, but this kind of trust is greatly
compromised on the Internet. In the process of
online communication, basic personal information is
not easily disclosed to strangers, and invitations to
netizens cannot be accepted casually to prevent
being deceived.
Negative emotions in life are inevitable, but
being in a lonely and dull environment is harmful to
the individual's physical and mental development.
Therefore, we must learn to adjust bad emotions and
turn pessimistic emotions into a driving force for
progress. Don't escape when facing difficulties and
setbacks, build self-confidence, hone your will, and
laugh at life with a positive and optimistic attitude.
2.2.3 Cultivate Hobbies
First of all, you can regulate personal loneliness by
developing your own hobbies. Finding one's area of
interest can, to a large extent, help oneself relieve
the mood and enjoy the body and mind. Being able
to participate in outdoor activities will not only help
you divert your attention to other new things, but
you can also meet more friends with the same
hobbies. Re-energize yourself and devote yourself to
learning and other activities with full enthusiasm.
Second, arm the brain with knowledge, enrich
the spiritual world, and constantly improve and
upgrade oneself. Finally, scientifically plan your life
and rest time. Loneliness is often waiting for
opportunities when there is little or nothing to do in
the society. Regular time arrangements can not only
allow us to orderly engage in learning, entertainment
and other matters, but also improve work efficiency.
Make your life fuller, thus develop a healthy
lifestyle, and help reduce feelings of loneliness.
2.2.4 Actively Interact with Others
First of all, you need to take the initiative to open
yourself up and put it into continuous action.
Second, actively participate in outdoor or indoor
competitions. Group activities can mobilize
enthusiasm, explore one's potential in cooperation
with others, reshape one's self-image, and improve
oneself.
Finally, coordinate the relationship between
network communication and actual communication.
As an aid to actual communication, network
communication has opened up another world for
young people and brought great convenience.
However, after all, it cannot replace reality, cannot
be captured by the network, and be the master of the
network.
2.3 Online Social Network Sampling
Algorithm: MHRW Algorithm
The MHRW algorithm prefers to accept low-level
nodes while rejecting high-level nodes to avoid the
deviation caused by high-level nodes being sampled.
Therefore, low-level nodes will be oversampled. The
transition probability is:
𝑃
,

=
∙𝑚𝑖𝑛(1,
)
1
𝑃
,


0
(1)
Here v is the seed sampled from the OSN under
study, and w is a neighbour of v and may be
sampled with probability in the next step.
HRW is proved to converge to uniform
sampling, that is, the sampling probability of each
node in the graph is 1/|v|, and the randomized jump
parameter p is added to the MHRW algorithm, that
is, the Albatross Sampling algorithm. AS has a
shorter convergence time than MHRW and BFS. In
large social networks with few effective user IDs,
the cost of sampling jumps will be very high. The
transition probability from node u to v is:
𝑃
,

=
𝑚𝑖𝑛(

,

)+
|
|
1 −𝑃−
𝑚𝑖𝑛(

,

)

|
|
+
|
|
(2)
Influence of Self-Esteem and Loneliness on Online Communication
107
3 EXPERIMENTAL RESEARCH
ON THE INFLUENCE OF
SELF-ESTEEM AND
LONELINESS ON ONLINE
COMMUNICATION
3.1 Research Methods
This study uses a questionnaire survey method to
make a quantitative analysis of the adolescents’
online social interaction status. The questionnaire
topics involved the youth’s online social profile; the
UCLA network communication loneliness scale was
used to measure the degree of loneliness of
adolescents; compared with face-to-face social
interaction, adolescents’ online social satisfaction.
The survey of this network interaction takes the
whole country as the survey area.
3.2 Questionnaire Design and
Interview Design
3.2.1 Design of Online Communication
Questionnaire
This study uses a questionnaire survey method to
make a quantitative analysis of the current status of
adolescents’ online social networking. The
questionnaire topics involved adolescents’ online
social profile; UCLA loneliness scale was used to
measure the degree of loneliness of adolescents;
compared with face-to-face social interaction,
adolescents’ online social satisfaction. This survey
took the whole country as the survey area.
3.2.2 Interview Design
Starting from understanding whether online social
interaction can help young people alleviate their
loneliness, the interview outline for the year of
adolescence involves four parts: one is the cause of
young people’s loneliness and how to solve or
alleviate it; the other is the frequency of youth’s
online social interaction and the whether online
social interaction can help alleviate feelings of
loneliness; third is the comparison of teenagers’
satisfaction with face-to-face social interaction and
online social interaction; fourth is whether there is
online autism.
3.2.3 Survey of Questionnaire
In this survey, a total of 300 questionnaires were
distributed online, and the complete answer rate of
the questionnaire was 100%, because the
questionnaire emphasized that non-teens do not need
to fill in, and those who do not use social networking
do not need to fill in. Therefore, the total number of
valid questionnaires obtained in this survey is 300,
and the effective rate of the questionnaire is 100%.
Of course, it is not ruled out that there are people
who do not meet the conditions to fill in, and the
questionnaire still has errors.
4 EXPERIMENTAL DATA
ANALYSIS ON THE
INFLUENCE OF SELF-ESTEEM
AND LONELINESS ON ONLINE
COMMUNICATION
4.1 Self-Esteem and Loneliness
According to the scoring standard of the UCLA
Loneliness Scale, a score of more than 44 indicates a
strong sense of loneliness, a score less than 28
indicates a weak sense of loneliness, and a score of
33-39 indicates that the sense of loneliness is at a
normal level. After analyzing 300 adolescents
loneliness scale, the following data are obtained:
75% of adolescents’ loneliness is within a strong
range of loneliness, and 23% of adolescents’
loneliness is within a normal level. The loneliness of
the remaining 2% of urban youth living alone is in a
weak range. The specific results are shown in table
1:
Table 1: Self-esteem and loneliness.
Self-esteem and loneliness 21-25
y
ears ol
d
26
30
y
ears ol
d
Ver
y
lonel
y
75% 69%
Loneliness is normal 23% 15%
Loneliness is wea
k
2% 16%
Strong sense of self-estee
m
67% 76%
Normal self-estee
m
24% 18%
Low self-estee
m
9% 6%
ICPDI 2022 - International Conference on Public Management, Digital Economy and Internet Technology
108
Figure 1: Self-esteem and loneliness.
Table 2. Distribution of main social objects of self-esteem and loneliness.
Social objects Strong normal weak
Family members 43.24% 56.15% 63.36%
Classmates and friends 21.22% 82.36% 82.50%
Work colleagues 57.14% 69.12% 61.05%
Business, industry, or mutual
interest relationship
50.00% 30.00% 32.45%
stranger 85.71% 12.10% 3.10%
other 13.24% 3.00% 5.40%
As can be seen in Figure 1, in terms of age, the
21-25 age group has a higher score for loneliness,
which may also be due to the large proportion of
respondents in this age group. It may also be
because teenagers of this age are at a critical stage of
career struggle, so they are busy in their careers and
do not have time to socialize, so the degree of
loneliness will be higher. In addition, most
adolescents have a strong sense of loneliness in the
online social environment. Only a small number of
adolescents have a normal level of loneliness, and a
very small number of adolescents have a weak sense
of loneliness.
4.2
Influence of Self-Esteem and
Loneliness on Online Social Objects
This study investigated the influence of self-esteem
and loneliness on social objects on the Internet. The
survey results show that the main social objects of
teenagers with strong self-esteem and loneliness are
strangers, the main social objects of teenagers with
normal self-esteem and loneliness are classmates
and friends, and those with weak self-esteem and
loneliness are also classmates and friends. The
specific results are shown in table 2.
According to Figure 2, the stronger the
self-esteem and the sense of loneliness, the social
frequency of adolescents and relatives and fellow
villagers is decreasing. This further proves that the
self-esteem and loneliness of the adolescents
mentioned above have increased, and their network
interactions show the characteristics of weaker
relationships and stronger social relationships. The
stronger the sense of loneliness, the stronger the
social relationship between young people living
alone in the city and their "relatives and fellow
villagers" gradually decreases.
75%
23%
2%
67%
24%
9%
69%
15%
16%
76%
18%
6%
Very lonely
Loneliness is normal
Loneliness is weak
Strong sense of self-esteem
Normal self-esteem
Low self-esteem
percentage(%)
Self-esteem and loneliness
21-25 years old
26—30 years old
Influence of Self-Esteem and Loneliness on Online Communication
109
Figure 2: Distribution of main social objects of self-esteem and loneliness.
5 CONCLUSION
By understanding the status quo of adolescents’
Internet use, self-esteem, and loneliness, I found that
Internet use has a strong correlation with self-esteem
and loneliness. The Internet is an almost
comprehensive display of real life, it reflects the real
social relationships on the Internet, and meets some
of people psychological and social needs. Many
people do not have specific guidance and clear
restrictions on the use of the Internet, and they tend
to abuse the Internet and use it uncontrollably.
Guiding everyone to use the Internet reasonably is
conducive to the development of healthy personality.
Especially adolescent children are psychologically
sensitive, which can easily lead to problems such as
psychological disorders, and poor social interactions
can easily lead to emotional anxiety. And it is in the
critical period of peer communication and the
formation period of interpersonal relationship. It is
necessary to correctly guide them to establish a
healthy view of communication and shape a healthy
personality. Taking measures from the parents,
students themselves and the school to help young
people alleviate their loneliness, it will help them
develop a good attitude and face life with a positive
attitude.
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