Online Content Sharing Behavior: A Review on the Social Psychology
Perspective
Yessy Artanti
Faculty of Economics, Universitas Negeri Surabaya, Indonesia
Doctoral Student at Faculty of Economics and Business, University Airlangga, Indonesia
Keywords: online content, sharing behavior, viral marketing, social psychology
Abstract: There is a need to understand and foster the determinants of sharing behavior in viral marketing based on the
perspective of social psychology. This paper develops an integrated model designed to review and explain
the relationship about online content that consists of humor, sex, and informative and motivational factors
on online content sharing behavior with audience size and situational factor as moderator variables based on
the perspective of social psychology. This study is planned using empirical research by collecting data
obtained from students who often use social media and tested using experimental methods and Moderated
Regression Analysis (MRA). Expected results and in accordance with some previous research, explained
that it is expected that there will be differences in behavior of students who often conduct online sharing
behavior in terms of the type of content that is most often shared. In addition, also expected that some
motivational factors influence online content sharing behavior and this influence expected to be greater with
the presence of situational factors and audience size. By review, the impacts of the type of contextual factors
and personal perceptions on knowledge sharing behavior, the integrated model better explains behavior than
other proposed models.
1 INTRODUCTION
The role of social media marketing and its function
as a marketing tool has been examined by several
researchers and practitioners in the field of
marketing (Kaplan and Haenlein, 2010; Valenzuela
et al.,. 2009; Boyd and Ellison, 2008). Even though
Zarkada and Polydorou (2013) said that remains a
challenge, integrating social media into marketing
communications strategy. On the other hand, social
media while also as a tool for studying the science of
information behavior through text content, images,
or video. According to Turban et al.,. (2011),
information behavior includes the user's behavior in
relation to information and information systems,
which includes information need generation
activities, creation, seeking, encountering, sharing,
giving, assessment, management, and use.
But as the development of technology with the
advent of the internet and social media, has created a
number of new concepts in the field of marketing
communications. Technological innovation and the
various opportunities have managed to perfect the
use of WOM being electronically the word of mouth
marketing (e-WOM) or known by the term viral
marketing. But in general, the mention of the term
viral marketing and e-WOM are often used
interchangeably. On the other hand, Modzelewski
and Wong (2000) argue the viral marketing is really
different from the word of mouth marketing (WOM)
in terms of the creation of the "viral" which is able
to recruit and reach out to as many people in the
network.
Review of some viral marketing theory points
out that consumer desire to build and reinforce
social relations is deciding to engage in information
sharing activities. Besides the viral marketing
success can be seen from the individual consumer's
desire to forward marketing message to hundreds of
other individual consumers. However, according to
Hayes and King (2014), it is still a little research that
discusses the role of the social process by which
individuals finally decided to do the activity of
online content sharing. Online content sharing has
become part of modern life such as submitting
articles in newspapers or magazines, sent a video to
YouTube, and post a review about a restaurant to a
friend. According to Allsop et al., (2007) more than
59% of the community regularly conducts
dissemination of online content.
Furthermore, although the transmission of social
is important, but it's still a little research that
highlight the types of online content such as what
causes the content to be more viral than other
content supported by the role of emotions and
Artanti, Y.
Online Content Sharing Behavior: A Review on the Social Psychology Perspective.
DOI: 10.5220/0008787402970305
In Proceedings of the 2nd International Research Conference on Economics and Business (IRCEB 2018), pages 297-305
ISBN: 978-989-758-428-2
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
297
motivational factors underlying disease. Some of the
research that examines how rare each online content
can flow in a network (Sundararajan et al., 2013).
When in fact, there are four important factors that
determine the success of viral marketing: (1)
content, that is the appeal of a message that makes it
easy to remember (Gladwell, 2002; Porter and
Golan, 2006; Berger and Milkman, 2011; Berger,
and Schwartz, 2011), (2) the social network structure
(Bampo et al.,. 2008), (3) the recipient of the
behavior characteristics and benefits received when
forwarding messages (Arndt, 1967), and (4) the
seeding strategy, which is the election of a consumer
the target chosen by the initiator in the viral
marketing. Research results, Berger and Milkman
(2009) qualitative researching about the transmission
of social, emotional, and virality on characteristics
of online content mentioned that content that is able
to evoke the passion or positive emotions was more
viral meaningful content versus negative emotions
while uncovering the reasons why someone is
willing to do/not willing to share content online.
In addition to content types, some studies have
shown progress in identifying the factors that
motivate consumers to conduct share, among other
things: emotion (Dobele et al., 2007; Eckler and
Bolls, 2011; Phelps et al., 2004), stimulating (Porter
and Golan, 2006), entertaining (Brown et al., 2010),
or have a utilitarian/hedonic content (Chiu et al.,
2007). More consumers are also motivated to
forward viral marketing for reasons of personal (Ho
and Dempsey, 2010), showed concern (altruism)
(Ho and Dempsey, 2010; Phelps et al., 2004) or
showing a sense of superior knowledge and as
opinion leadership (Lyons and Henderson, 2005).
Botha and Reyneke (2013) and Dobele et al., (2007)
examined the motivation of someone to send a
message back and how they process the content of
the message. Though Phelps et al., (2004), there is
still little understanding of the motivations, attitudes,
and behaviors which aspects influenced people to do
activities to share or send messages that are
received. The conceptual framework proposed by
Schutz (1966) provides an in-depth understanding of
the motivation of some variation that according to
Ho and Dempsey (2010) can be used to base the
forwarding behavior of online content. In particular,
Schutz (1966) provided three dimensions of
interpersonal behavior theories for which he named
with FIRO (Fundamental Interpersonal Relations
Orientation). Based on this theory, Schutz (1966)
said that the person felt tied to (engage) in
interpersonal communication because they are
motivated to express one or more of the three needs,
which include: inclusion (need to be part of a group
of/need for attention), affection (shows appreciation
and attention to other members), and control (the
need to exert power in the social environment).
However, Ho and Dempsey (2010) in his article
confirmed that how these motivations specifically to
online content forwarding behavior are still unclear.
Not only with regard to the motivation of
informing someone to share online content are
unclear, Barasch and Berger (2014) also suggest that
some researchers give less attention to how the
audience affects what people others are talking about
and the shared behavior. Studies on the influence of
the audience generally put more emphasis on the tie
strength in influencing communications (Brown and
Reingen, 1987; Frenzen and Nakamoto, 1993). In
addition, Frenzen and Nakamoto (1993) founded
that people will share with anyone when the value of
the information is reasonably weak and will be
hesitant to share information if the relationship is
weak bonding. Similarly, in the referral network,
strong ties are considered more influential and more
likely to be used as a source of information (Brown
and Reingen, 1987). Still a little research that
explained how audience size affects the behavior or
what others share. Communication model advanced
by McGuire (1985) focused on whether messages
sent will change the attitude of the recipient of the
message. Whereas Barasch and Berger (2014) more
emphasis on the transmission of the message,
analyze what types of messages that are sent, and
how the number of recipients has a role in the shared
behavior.
Finally in contrast to some previous research that
put more emphasis on the shared behavior in the
context of corporate or commercial purposes. The
research was more emphasis on the social
psychology of individual factors in the field of viral
marketing by revealing the role of the motivational
factors in relation to the shared behavior on online
content by using audience size and situational
variable as moderation. As recognized by Botha and
Reyneke (2013) actually had been a lot of research
on viral marketing, but some experience a failure
due to a lack of understanding about what
contributions can be given of success through viral
campaigns. Thus Botha and Reyneke (2013) stated
that there is still little research on the motivation,
attitudes, and behaviors of people who forward
messages online that they received the previous.
2 MODEL AND HYPHOTHESES
2.1 Online Content
Pirouz et al., (2015) posited that the content contains
humor, amazing, and disgusting has been widely
discussed by several studies. More content with
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298
video concepts proved to be more able to maximize
the effect of emotion leading to viral (Berger and
Milkman, 2011). Content that includes
entertainment, information, and talent, relating to
trends or events, helping others, express personality,
communicate with others, are the main factors that
cause content to go viral (Izawa, 2010). In contrast
to Berger and Milkman (2011), Thompkins (2012)
said the term online content as message
characteristics. According to Thompkins (2012),
there are three types of factors that lead to successful
viral marketing, namely: message characteristics,
sender characteristics or message receiver, and
social network characteristics. In viral marketing,
content or message is said to be effective if the
message is able to uncover and eliminate clutter
indifference to sharing, forward, or pass-along
message. Research Golan and Zaidner (2008)
concluded that the content that is humor and sex
appeal is a tactic that is most commonly used in the
message viral, as well as the social visibility of a
message viral will encourage the process of
diffusion (Susarla et al., 2012). Previous studies
conducted by Severn et al., (1990) but in
conventional advertising content to explain the
effects of controversial sexual content on the
effectiveness of communication in the form of
messages of advertising and its influence on the
product and purchase intentions. Research results
conclude that the sexual content in advertising is
more preferable to the consumer whether male or
female. In addition, research Almeida (2016)
analyzed the effect of different types of online
content on a social networking site, Facebook to post
sharing behavior. These types of online content that
include: application, event, fun, information,
promotion and publicity, and service.
Hypotheses 1: There is a positive influence humor
appeals content on the online
content sharing behavior
Hypotheses 2: There is a positive influence on
sexual appeals content on the
online content sharing behavior
Hypotheses 3: There is a positive influence on
informative content on the online
content sharing behaviour.
2.2 The Motivational Factors
Besides the characteristics of a message or content,
individual consumers also have an important role in
the process of viral marketing. Based on several
studies, some of the personal characteristics of
individual consumers who are influential in the
process of viral marketing are: the personality of the
consumer (Chiu et al., 2007; Sun et al., 2006),
consumer demographics (Trusov et al., 2010), and
the motivation for sharing content (Phelps et al.,
2004). Most research on motivation in the context of
social media more emphasis on how people are
motivated to join the social media. Lin and Lu
(2011) observed that a person is motivated to use
social networking sites is to meet the self-
enjoyment, assume that the site is useful, and also
because there is social cohesion. People look and
behavior, share videos on YouTube, motivated
because of the element of entertainment,
interpersonal expression, looking for information.
Literature about content sharing are now widely
available and are strong enough to examine factors
affecting social and psychological behavior in social
media sharing. Oh and Syn (2015) categorize 10
(ten) a motivational factor that can explain the
behavior of sharing, namely: enjoyment, self-
efficacy, learning, personal gain, altruism, empathy,
interest in the community, social cohesion,
reputation, and reciprocity. On social media
Facebook, Almeida et al., (2016) identified that
social cohesion (social engagement), learning, and
altruism is a key driver in sharing behavior.
However, when a number of theories were proposed
to explain why people engage in interpersonal
communication, most studies have adopted the
conceptual framework proposed by Schutz (1966)
because it provided a useful framework for
integrating a wide range of potential underlying
motivations of online content delivery. In particular,
Schutz (1966) proposed a three-dimensional theory
of interpersonal behavior he called FIRO
(Fundamental Interpersonal Relations Orientation).
Schultz (1966) suspect that the person is bound in
interpersonal communication because they are
motivated to express one or more of the three
interpersonal needs: inclusion (needs to be part of a
group / need for attention), affection (show
appreciation and concern for others), and control
(show the feeling of competition, achievement, and
influence, in the social environment of a person).
Nevertheless, how the dimensions of the
interpersonal behavior theory are related to the
forwarding behavior of online content is unclear.
Therefore Ho and Dempsey (2008) concluded some
of the literature to identify specifically the
motivations related to this in the context of three-
dimensional online.
Hypotheses 4: There is a significant positive
influence the motivational factors
on the online content sharing
behaviour
Online Content Sharing Behavior: A Review on the Social Psychology Perspective
299
2.3 Moderating effect
Based on some research, it is known that there are
four important factors that determine the success of
viral marketing: (1) the content, the appeal of a
message that makes it easy to remember (Gladwell,
2002; Porter and Golan, 2006; Berger and Milkman,
2011; Berger and Schwartz, 2011), (2) the structure
of social networks (Bampo et al., 2008), (3) the
receiver behavioral characteristics and the received
benefits when forwarding the message (Amdt,
1967), and (4) the seeding strategy , which is the
selection of target customers selected by the initiator
in viral marketing. Furthermore, Berger who
consistently worked on viral marketing, doing
research on how the audience size affects what
people share. Direct understanding of attentional
resources split between inward (toward the self) and
outward (toward others) (Barasch and Berger, 2014).
When people are more focused on themselves (self-
focused) they lacked the intention to share attention
with others (Chiou and Lee, 2013). In his research,
Barasch and Berger (2014) emphasized that the
audience size affects what people share is based on
two types of content, namely: narrowcasting and
broadcasting. Compared to narrowcasting,
broadcasting (the number of audiences more) more
motivating people to do the sharing. Although most
research has focused on the type of audience (for
example, the strong and weak ties) (Frenzen and
Nakamoto, 1993), and how it affects the number of
followers on social media posting frequency (Toubia
and Stephen, 2013),
Furthermore, at the end of the study by Berger
and Milkman (2014) suggested conducting more
research on how people do share in relation to
emotion moderated by situational factors.
Sometimes environmental influences also shape the
social transmission by generating specific topics that
are more acceptable at the time. (Berger and
Fitzsimons, 2008; Berger and Schwartz, 2011).
Hypotheses 5: Situational factors will moderate the
influence of motivational factors
on online content sharing behavior
Hypotheses 6: The audience size will moderate the
influence of motivational factors
on online content sharing behavior
Generally, the decline theories and hypotheses
formulation above can be described as below:
Further, figure 2 is generated a model of the
proposed research are trying to test the effect of
online content and motivational factors on online
sharing behavior by using situational factors and the
audience size as moderating variables.
3 METHODS
3.1 Sample and Procedure
This research is research in which cross-sectional
data collection of the sample only performed one
time only, or more precisely empirical data gathered
from each participant at a time (Malhotra, 2007).
The methods used in this research is quantitative.
Quantitative methods used in this research is the test
experiments to test hypothesis 1 to 3 and Moderated
Regression Analysis (MRA) to test the hypothesis of
4 to 6. Moderated Regression Analysis is the
analysis of the regression test the direct relationship
between the independent variable and the dependent
variable and interaction independent variable with
moderator variables on the dependent variable.
Moderator variable function here is can strengthen
or weaken precisely the relationship between the
dependent and independent variables. While the
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300
experimental tests implemented by manipulating
objects actively research and then observe the results
manipulations. Further, this research uses the
between-subject design, testing between groups who
have the real difference.
A major study carried out in the laboratory of
Universitas Negeri Surabaya, by disseminating a
questionnaire that varies according to the cells
examined. Filling the questionnaire conducted in
class after participants completed following the
lecture. Before it is given to the participant,
questionnaires have been scrambled in such a way
so that good researchers or participants cannot
choose a specific questionnaire. Unless this type of
questionnaire and stimulus in the questionnaire, each
participant received the same treatment. After all,
participants answered the questions of the
questionnaire and return it, participants were given
debriefing, i.e. the information that they have
participated in research experiments and what they
see in the stimulus and the questionnaire was
modifications made solely for research purposes.
Participants also were asked not to discuss the
contents of the research because the data retrieval
process will still take place. The stages in the
research described in figure 3.
4 RESULTS AND DISCUSSION
4.1 Results
Based on the results of searches on perspective
theory which affects some research about social
media, there are 8 (eight) theory which is commonly
used in a discussion about social media, which
respectively include: cooperation theory, network
theory, social exchange theory, social capital theory,
social identity/conformity/influence/comparison
theory, theory of planned behavior/theory reason
action, theory acceptance model, and uses and
gratifications. Five of the eight theories of social
exchange theory, social
identity/conformity/influence/comparison theory,
theory of planned behavior/theory reason action,
theory acceptance model, and uses and gratifications
have original nature which is about social
psychology. But beginning in 2008 proved that
social psychology perspective turned out that
consists of five of the above theory are more widely
used in research about social media and otherwise
use or application cooperation theory, network
theory and social capital theory of continuous
decline since the year 2009. Social exchange theory
(social exchange theory) which is the most widely
used theories on research about social media,
provides a lens that is very useful to explain the
decision process in viral marketing because the
application This theory includes the following three
areas: (1) interpersonal relationships, (2) consumer-
brand relationship, and (3) content and information
sharing (Hayes et al., 2016). This study uses two of
the areas contained in the social exchange theory,
namely, interpersonal relationships and content.
Interpersonal relationships are the interpersonal
relationships that occur between two or more
individuals. Some researchers have discussed the
presence of psychological element behind a social
transmission through observations of why someone
does share about something (Berger, 2011; Berger
and Health, 2005; Berger and Milkman, 2012;
Berger, and Schwartz, 2011; Chen and Berger, 2013;
Frenzen and Nakamoto, 1993, De Angelis et al.,
2012).
The information sharing behavior could not be
removed from the activity of knowledge sharing.
However there are doubts among researchers about
the role of online knowledge sharing through social
interaction using social media (Ma and Chan, 2014).
Through his research, Ma and Chan (2014)
researching about motivations for online knowledge
sharing behavior which consists of perceived online
attachment motivation, perceived online relationship
commitment, and altruism. Phelps et al., (2004)
explains the steps share content online through
sample stages activities pass sing-along of an email,
which consists of four stages: (1) accept email
submissions, (2) the decision to open or delete the
message, (3) If you open a message, then decided
upon going on the activity of reading/decoding the
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301
message, and (4) a decision whether the forward
message to the other person. Share is an important
measurement in viral marketing success especially
on social networking sites and refers to a level where
users exchange, distribute, and receive content
(Kietzmann et al., 2012). In the form of social
relationships, sharing often involves the exchange of
information between people and content. In some
case, sharing behavior often associated with
relationships between people (Engestrom, 2001).
Some previous studies have examined the factors
that affect the behavior of sharing (passing) viral and
email messages that are commercial (Bruyn and
Lilien, 2008: Dobele et al., 2007: Phelps et al., 2004:
Porter and Golan, 2006). These studies have
identified some important factors that motivate
someone to do pass some messages in writing a
commercial and viral email, namely due to the social
advantages, amusement, and attachment to a friend.
Kramer et al., (2014) conducted a study that
proved the effect of social media against the
emotions of its users. Kramer et al., (2014) found
that when a person is exposed to a lot of social
media content which negatively worded, chances are
he'll post content which negatively worded will also
increase. Conversely, if someone more often
exposed to positive content, post positively worded
content will also grow. However, in reality, much of
the information content presented to the public now
tends to be negative, which contains anxiety,
violence, and moral destruction. This led to growing
number of depressions and the level of aggression in
society (Chaturvedi and Chander, 2010).
In research conducted by Muntinga et al., (2010)
mention that the behavior of the share is one
dimension of engagement along with other
dimensions, namely: likes and comments. But once
again the context used by Muntinga et al., (2011) is
the use of social media in the community of the
brand. In addition, the research of Pirouz et al.,
(2015) has mentioned that the content contains
humor, amazing, and disgusting has been widely
discussed by some of the research. More content
with the concept of the video turned out to be better
able to maximize the influence of emotion headed
into viral (Berger and Milkman, 2011). Content that
contains entertainment, information, and talents, in
touch with the trend or event, help others, expressing
personality, communicate with others, are the main
factors that lead content to be viral (Izawa, 2010).
In contrast to Berger and Milkman (2011),
Thompkins (2012) mentions the term online content
as the characteristics of the message. According to
him, there are three types of factors that led to the
success of viral marketing, namely: the message
characteristics, the message sender or recipient
characteristics, and social networks characteristics.
The research of the Golan and Zaidner (2008)
concludes, that the content is both humor and sex
appeal is the most commonly used tactics in the
message viral, and social visibility of a viral
message will encourage the process of diffusion
(Susarla et al., 2012). An earlier study conducted by
Severn et al., (1990) however in conventional
advertising content describes the effects of sexual
content in the form of communication effectiveness
against controversial advertising messages and its
effects on product and intent buy. The results of his
research concluded that sexual content in advertising
turned out to be preferred on the consumer either
male or female. In addition, the research of Almeida
(2016) stated the influence of the difference in the
types of online content from a social networking site
that is Facebook post behavior on sharing. Content
types include online application, event, fun,
information, pool, promotion and publicity, and
service. More specifically, Petrescu (2012) who
conduct research in conceptual and empirical
evidence on the influence of viral marketing on the
intention to buy, which one is from about advertising
appeals consisting of humor, sexual, and
informative, stating that humor is one of the types of
content are most often in the forward right because
at the humor contained very deep emotions.
Petrescu's argument (2012) this simultaneously
supports research conducted by Phelps et al.,.
(2004).
Motivation has become a research topic in social
media, particularly to explain why someone decided
to join and use social media. On social networking
sites such as Facebook, someone motivated due to
social ties (social connectivity) and communication
with his friend (Barker, 2009). Lin and Lu (2011)
observing that someone motivated to use social
networking sites to benefit self-enjoyment, benefit
from that site, and build a network. People see and
do share YouTube videos, information and funny
content, as motivated by an element of
entertainment, interpersonal expression, seek
information and build relationships (Hanson and
Haridakis, 2008). The motivation for using social
media is also very depending on the domain. In the
context of education, a social media is becoming
very popular in the teen age. Social media is useful
as a tool to improve student learning, searching for
ideas, and learning in the context of relations
between students and teachers (Mazer et al.,, 2007).
But in the work environment, the motivation for
wanting to establish rapport, useful, and a desire to
share personal or professional, is motivation-
motivation informing someone using social media
(DiMicco et al., 2008). But most research is focused
on informing motivation to join in social media.
Still, relatively little research focusing on motivation
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302
to share information or social support provided
through social media.
Most of the researches on motivation in the
context of social media a lot more emphasis on how
a person's motivation to join in social media. The
literature on content sharing are now widely
available and are strong enough to explain the
factors that affect social and psychological behavior
of sharing in social media. Oh and Syn (2015)
categorizes ten motivational factors capable of
explaining the behavior of sharing, namely:
enjoyment, self-efficacy, learning, personal gain,
altruism, empathy, community interest, social
attachment, reputation, and reciprocity. However,
when a number of the proposed theories to explain
why people engage in interpersonal communication,
most studies adopted the conceptual framework
proposed by Schutz (1966) as it provides a
framework useful for integrating the various
motivations that potentially underlie delivery of
online content. In particular, Schutz (1966) suggests
three dimensions of interpersonal behavior theory he
called FIRO (Fundamental Interpersonal Relations
Orientation). Schultz (1966) speculated that the man
bound in interpersonal communication because they
are motivated to express one or more of the three
needs of interpersonal: inclusion (needs to be part of
a group/need for attention), affection (shows
appreciation, and concern for others), and control
(shows the feeling of competing, achievers, and
affecting in an individual's social environment).
Nevertheless, how the dimensions of the
interpersonal behavior theory are associated with the
forwarding behavior of online content is unclear.
Therefore Ho and Dempsey (2008) summarize some
of the literatures to identify specifically the
motivations related to the three dimensions in the
context of online.
Based on researchers, it can be noted that there
are four important factors that determine the success
of viral marketing: (1) content, that is the appeal of a
message that makes it easy to remember (Gladwell,
2002; Porter and Golan, 2006; Berger and Milkman,
2011; Berger, and Schwartz, 2011), (2) the structure
of the social network (Bampo et al., 2008), (3) the
recipient of the behavior characteristics and benefits
received when forwarding messages (Amdt, 1967),
and (4) the seeding strategy, which is the election of
a consumer the target chosen by the initiator in the
viral marketing. Furthermore, Barasch and Berger
(2014) who consistently researching viral marketing,
doing research on how the audience size affects
what people share. Understanding of attentional
resources directly split between inward (toward the
self) and outward (toward others) (Barasch and
Berger, 2014). When people focus more on himself
(self-made focused) then their lack of intention to
share attention with others (Chiou and Lee, 2013). In
his research Barasch and Berger (2014) stressed that
the audience size affects what people share based on
two types of content: narrowcasting and
broadcasting. Compared to narrowcasting,
broadcasting (number of the audience much more) is
more motivating people to do the sharing. Although
most studies focus on the type of audience (e.g.,
strong and weak ties) (Frenzen and Nakamoto,
1993), and how the number of followers affect the
frequency of posts on social media (Toubia and
Stephen, 2013), but still very the research is rarely
tested how the audience size influence anyone to do
share.
4.2 Discussion
Information technology with the emergence of the
Internet has resulted in some new ideas and a
platform for communication. Not only dominated
the world of communication between companies and
consumers, between consumers can mutually
enhance the interaction and exchange of
information. The frequency of exchanging
information or online content sharing cannot be
separated from the emergence of a social media
phenomenon. Community activities decreased
television viewing as they are more diligent to
access the Internet, especially social media as a
communication tool and the media see the activity
more friends who join the social media. Teens and
adults, consumers prefer to access information
through the media along with the tight schedule of
work and other activities. Mangold and Faulds
(2009) revealed that social media is regarded as the
most important media in communicating messages
contained in integrated marketing communications.
The increasing use of social media globally resulted
in marketers and researchers acknowledge that
social media is the most effective tool because it is
durable, has a longer period of time and be able to
establish an affiliation between businesses and
potential customers globally (Tobin and Braziel,
2008). Similarly, Kietzmann et al., (2011),
supporting that social media is consistently involved
and play an important role in a marketing
communications company, community, and
communication between individuals. According to
Barnes (2010), social media become part of the
marketing strategy because of the nature of their
interactions (Kaplan and Haenlein, 2010),
One indicator of the success of online sharing
behavior is determined on the type of content.
Thompkins (2012) mentions the term online content
as message characteristics. According to Thompkins
(2012), there are three types of factors that lead to
Online Content Sharing Behavior: A Review on the Social Psychology Perspective
303
successful viral marketing: message characteristics,
characteristics of the sender or receiver of the
message, and social network characteristics. In viral
marketing, content or message is said to be effective
if the message is able to uncover and eliminate
clutter indifference to sharing, forward, or pass-
along message. More specifically, Petrescu (2012)
who did conceptual and empirical research on the
effect of viral marketing on the intention to buy,
where one variable is about advertising appeals
consisting of humor, sexual, and informative, states
that humor is one of the most frequent types of
content in a forward's because the humor contained a
very deep emotion. Arguments Petrescu (2012)
simultaneously supports research conducted by
Phelps et al., (2004).
Furthermore, to test hypothesis 1 related to
motivational factors, researchers use FIRO theory.
To use the traditional theory of FIRO (Schutz, 1966)
of the literature interpersonal communication as a
framework in this study, the researchers tested
whether the motivations hidden in a person
associated with interpersonal communication
relevant to be associated in the context of e-WOM.
Our research found that when the three core
dimensions of this FIRO be made into a single unit
that can significantly become predictors of e-WOM
or online content sharing behavior. The findings of
this study will not only further enhance our
understanding of the behavior of e-communication
of people in general,
Finally, the study was able to contribute
theoretically. The results of this study are expected
to define the profile of a young age psychographic
(students). Major findings are expected in this study
is in terms of interpersonal behavior of younger age
groups are characterized by aspects inclusion in
terms of ownership (need to belong), personal
growth, and affection (altruism). Motivational
factors of respondents are fairly high, especially in
the sense of having, recognized in a group, freedom
in determining the direction of life although it also
can not be separated from a sense of caring for
others. Individual motivations are what causes them
to be concerned with a friend who realized in the
form of share online content.
5 CONCLUSION
Several studies have shown advantages in the field
of marketing through the identification of market
mavens (Feick and Price, 1987, Laroche et al., 2003)
and many more of them for instance on the number
of consumers who are members of an online
business, and communication e-WOM, all of which
this has an important role in consumer decisions.
Moreover, the purpose of this study is to provide an
understanding of the importance of the motivations
that relate to the activities of forwarding or online
content sharing. The success of viral marketing not
only on how to attract someone to forward, but more
of it is to understand the reasons for what causes a
person to be willing to share information with
others.
6 RECOMMENDATION
Further research suggested doing more research on
how people do share in relation to the emotions that
are moderated by situational factors. Sometimes the
influence of environment also forms social
transmission with how to generate topic-specific
topics which are more acceptable then.
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