Article No. 6
The Impact of the Internet on
Teenagers’ Face-to-Face Communication
Young Soo Shim
Southern Illinois
University Carbondale
Abstract
This study
investigated the relationship between teenagers’ Internet use and
their interpersonal communication behavior – most of all, whether
Internet use was associated with the teens’ loss of desire for
face-to-face communication with family and friends. Also examined
was whether any loss of desire for face-to-face communication with
family and friends was linked to certain motives for going online.
The findings of this study were based on statistical analyses of 405
valid returns of self-administered questionnaires from 657 students
of Carbondale Community High School in Carbondale, Illinois, who
were selected through a purposive sampling. The results showed that
Internet use was significantly correlated with decreases in
face-to-face communication with family (r = - .137, p <
.01) and with decreases in desire for face-to-face communication
with family (r = - .120, p = .01). Most significantly,
this study found that Internet use displaces not only the time the
teens spent with family, but also their desire for spending time
with family.
Introduction
No field of
human life has been more affected by the Internet than the way
people communicate with others, as Fulk and Ryu (1990) and Williams
and Rice (1983) predicted. Chesebro and Bonsall (1989) even argued
that the Internet "is altering how, if, and when people talk to each
other in all social systems and even in the privacy of the American
home" (p. 7). The Internet is fundamentally changing human
communication.
Such a
tremendous impact of the Internet on human communication raises a
legitimate question: Is the Internet displacing or supplanting
face-to-face communication, particularly among family members and
friends? Considering the importance of face-to-face interaction in
social life, the question should have been extensively examined, but
surprisingly few studies have been done. None of the studies has
gone further than scratching the surface. Only a few scholars, such
as Nie and Erbring (2000), have gone beyond the usual new media vs.
traditional media displacement study to explore the relationship
between Internet use and interpersonal communication with family
members.
Significantly, the findings of the previous studies are mixed at
best. For example, Nie and Erbring (2000) and Kraut et al. (1998)
found that the more people used the Internet, the lonelier they felt
and the less they engaged in interpersonal communication, even with
their family members. The finding was consistent with the findings
of McKenna and Bargh (2000), and McKenna, Green, and Gleason (2002).
Not surprisingly, other studies found the positive impact of the
Internet on social interaction with family and friends (e.g., Kraut
et al., 2002; Lee & Kuo, 2002; Robinson, Barth, & Kohut, 1997) and
on community and political involvement (e.g., Katz, Rice, & Aspden,
2001). Notably, the studies suggesting negative impact of Internet
use on people outnumber those that reported beneficial influences of
Internet use.
Despite
such a tremendous role of the Internet in human communication, no
serious attempt has yet been made to answer the more basic question:
Does Internet use decrease people’s interest in face-to-face
communication with others, including family members and friends? If
Internet use is associated with decreased desire for face-to-face
communication, even with family members and close friends, Internet
users may be losing some of the most important aspects of their
life: family relationships and friendships. But if people have less
face-to-face communication with their family members only as a
result of using the Internet at home for work, without losing their
desire for communication with others, this might be a less serious
problem.
A more
alarming possibility is that youths avoid spending time with their
parents and instead prefer to surf the Internet. If youths prefer to
send an e-mail to their next-door neighbor instead of meeting with
their neighbors face-to-face, a serious problem might exist. The
Internet could be destroying the basic fabric of human society, or
family and community relationships. Some studies showed that such a
concern is not unfounded. For example, CyberAtlas (2002) reported
that 56% of youths aged 18-19 polled preferred online communication
to phone conversations. This is why this study chose to investigate
youths, or more specifically high school students. Studies found
that youths of high school age used the Internet more than any other
age group (UCLA Center for Communication Policy, 2003). In addition,
empirical evidence shows that the quality of communication between
children and parents significantly affects family relationships
(e.g., Fitzpatrick & Vangelisti, 1995; Maccoby & Martin, 1983; Socha
& Stamp, 1995). Most significantly, studies (e.g., Nie & Erbring,
2000; Pew Internet & American Life Project, 2000a) found that
Internet use was negatively linked with its users’ spending time
with family and friends.
The heart
of this study seeks to answer the question: Is Internet use linked
to a possible decrease in teenagers’ desire for face-to-face
communication with others, especially family members and friends?
Considering the rapid growth of Internet use and its tremendous
impact on daily lives, the importance of a study on the topic is
clear.
How can
these questions be explored from the theoretical point of view? This
study is based on the time-displacement theory. In brief,
time-displacement theory states that people have the same amount of
time to spend, and thus, if they start a new activity, they will
have to decrease other activities. A reasonable extension of this
theory may be that if people begin using the Internet, they will
have to reduce other activities, which may include face-to-face
social interaction with family.
Theoretical Background
The
time-displacement hypothesis posits that if people begin a new
activity, they will have to reduce their time spent with other
activities. The key assumption of the concept is that human
activities have a zero-sum property – that is, people cannot begin a
new activity without decreasing time devoted to prior activities
because everyone has only 24 hours a day to spend. When the
hypothesis is applied to Internet use, people starting to use the
Internet will have to decrease time devoted to other activities.
Though the hypothesis seems self-evident, the concept has long
served as a theoretical basis for dozens of studies that examined
how each new media technology affected people’s use of traditional
media (e.g., Coffin, 1948; Belson, 1961; Nie & Erbring, 2000).
Studies on
the Internet’s the time-displacement theory are plentiful, lending
strong credence to the concept’s validity. In one of the earliest
studies to extend the hypothesis to the Internet, some studies
(e.g., Kohut, 1996; Active Media Research, 1998; Kaye, 1998) found
that the more people spent time online, the less they watched
television. These early studies’ findings on the Internet’s
displacement of television viewing were almost consistently
supported by later studies (e.g., Nie & Erbring, 2000; UCLA Center
for Communication Policy, 2000, 2001, 2003; Scarborough Research,
2001).
But the
findings of the studies on the Internet’s displacement of
interpersonal communication was less consistent. Some studies like
Nie and Erbring (2000) and National Public Radio et al. (2000) found
that the more hours people logged on the Internet, the less they
talked with their family members and friends. But other studies
found that Internet use had little effect on the amount of time that
users spent with family and friends (UCLA Center for Communication
Policy, 2000), beneficial effect on interaction with family members
(Lee & Kuo, 2002; UCLA Center for Communication Policy, 2003), and
positive impact on overall social interaction (McKenna & Bargh,
2000; Katz, Rice & Aspden,2001; McKenna, Green & Gleason, 2002;
Pruijt, 2002). Most notably, in a reversal of their 1998 findings,
Kraut et al. (2002) found that the Internet had a generally positive
effect on its users.
Little
consensus has been reached on whether Internet use has a negative or
positive impact on interpersonal communication. But this invites a
question: But if people spend up to 10 hours a week using the
Internet (e.g., UCLA Center for Communication Policy, 2000), how
could they find the time without reducing other activities? As the
zero-sum property of time-displacement theory suggests, people have
a limited amount of time to spend each day. For most modern people
who already have a tight daily schedule, the first things to be
displaced by Internet use may include the time spent with family
members. Even if people are expanding their social connectivity
through Internet use as many previous studies showed, it seems
reasonable to suggest that they could do so only at the expense of
face-to-face communication activities including social interaction
with family. This study is designed to answer the question.
Research Hypotheses
On the basis of the literature
review, this study attempts to answer certain research questions and
the test hypotheses.
Research Question One
What is the relationship between
Internet use and the teenage Internet users’ face-to-face
communication?
Hypothesis 1A: The more teenagers
use the Internet, the less face-to-face communication they have
with their immediate family members.
Hypothesis 1B: The more teenagers
use the Internet, the less face-to-face communication they have
with their friends.
Research Question Two
What is the relationship between
Internet use and the Internet users’ desire for face-to-face
communication? This question represents the heart of this study.
Hypothesis 2A: The more teenagers
use the Internet, the less desire they have for face- to-face
communication with their family members.
Hypothesis 2B: The more teenagers
use the Internet, the less desire they have for face-to-face
communication with their friends.
Method
This study
surveyed 405 conveniently-sampled students of the Carbondale
Community High School in Carbondale, Illinois. The survey was
self-administered mostly over the weekend at the respondents’ home.
The teenagers’ desire for face-to-face communication with family and
friends was measured by their self-assessment because no scale to
measure the concept exists.
Carbondale
Community High School was selected for several reasons including
researcher ease and expense. The most significant reason is that the
city of Carbondale is an average American small city. The city of
Carbondale is located 96 miles southeast of St. Louis, and has a
population of about 27,000. Carbondale Community High School had
1,006 students as of January 2003.
The second
most significant reason for surveying high school students is that
most of the high school students live with their parents, and thus
have a natural opportunity to have face-to-face communication with
their family. Because investigating face-to-face communication with
family and desire for face-to-face interaction with family are at
the heart of this study, living with family is the most important
requirement of the sample. Another reason for surveying the high
school students is that Internet use was the highest among the high
school-age youths of all age groups (UCLA Center for Communication
Policy, 2003). Younger people were not chosen for this study because
many parents impose restrictions on their children’s use of the
Internet to keep them from being exposed to undesirable online
content.
Administration of Survey
The
questionnaires for this study were distributed to 800 students of
Carbondale Community High School through its classroom teachers at
the beginning of classes October 13-24, 2003. The teachers gave
their students oral instructions about how to respond to the survey
as well as an offer of reward. The students were told to bring the
questionnaire to their home, to obtain permission from their parents
to participate in the survey, to take sufficient time to respond to
the questionnaire over the weekend, and to return it to their
teacher at the beginning of the next week.
Results
Of the 800
questionnaires handed out, 657 questionnaires (82.1%) were
retrieved. Of the questionnaires returned, 252 had to be discarded
because they were incomplete or failed to pass face-value validity
checks. The researcher examined whether there was a response set or
whether those who answered gave unusually high responses to
communication variables.
Descriptive Data
Age and
gender. Because the survey was
administered to high school students, all of the respondents were
teenagers from 14 to 18 with more than three-quarters of them
between age 15 and 17. This study purposively sampled local high
school students to control for extraneous variables, such as age and
education. The respondents consisted of 197 males and 203 females.
Five declined to answer the gender question.
Ethnic
background. Respondents were ethnically
diverse. Caucasians accounted for 57.3% of the respondents, followed
by African-Americans (25.2%), Hispanics (4.7%), and Asians (4.4%).
Meanwhile, 6.7% classified themselves as "others." The ethnic
composition of the respondents closely matched that of Carbondale.
The population of the city consisted of 64.7% Caucasians, 23.1%
African-Americans, 4.8% Asians, and 3% Hispanics ("City of
Carbondale," 2004).
Concerning
availability of Internet at home, 83.7% of the respondents reported
that they had Internet access at home. Of the 66 without Internet
access at home, 51.6% were African-American, compared to 36.4%
Caucasians (whites). This statistic supports the findings by the
National Telecommunications & Information Administration (NTIA)
(1999) and the Pew Internet & American Life Project (2004a)
that the digital divide, or the gap among people of different income
levels and different racial groups in access to the Internet,
remains. The NTIA study found that African-Americans and Hispanics
trailed Caucasians in terms of ownership of personal computers and
online access.
Of the 66
respondents without online access at home, 33.3% reported family
income of $20,000 or less, 36.4% between $20,001 and $40,000, 16.7%
between $40,001 and $60,000, and 6.1% between $60,001 and $80,000.
In contrast, only two of the respondents who reported having a
family income of more than $80,000 had no Internet access at home.
Daily
Internet use. The respondents spent an
average of 89.4 minutes (1.5 hours) online per day (M = 89.4
minutes, Median = 60.0 minutes, Mode = 0, SD = 85.1). The amount of
time spent online ranged from the low of zero minutes reported by 83
respondents to a high of 360 minutes (6 hours) by four respondents.
For
face-to-face communication with family, 25% of respondents replied
that Internet use decreased their desire, as opposed to only 10.2%
who replied the opposite. But nearly two-thirds of respondents said
that Internet use did not change their desire for face-to-face
communication with family.
Testing Research Hypotheses
Research Question 1
Research
Question 1 examined the relationship between Internet use and the
teenage Internet users’ face-to-face communication.
Hypothesis
1A. Hypothesis 1A predicted that the more
teenagers used the Internet, the less face-to-face communication
they had with their immediate family members. Pearson’s correlation
was used to test this and other hypotheses.

Hypothesis
1A was supported. Internet use was found to have a significant
negative correlation with face-to-face communication with family (r
= - .137, p < .01). In other words, the more respondents
logged onto the Internet, the less time they spent with family, or
vice-versa.
When
possible extraneous variables, such as gender, ethnic background,
and family income, were controlled for, the correlation between
Internet use and face-to-face communication with family was still
significant (r = - .127, p <. 01). Partial correlation
was used to control potential extraneous variables.
Hypothesis
1B. Hypothesis 1B stated that the more
teenagers use the Internet, the less face-to-face communication they
had with their friends. Hypothesis 1B was not supported as no
significant correlation (r = - .032, p > .05) was
found between the amount of time spent online and the amount of time
spent on face-to-face communication with friends.
Research Question 2
What is the
relationship between Internet use and the Internet users’ desire for
face-to-face communication? This question represents the heart of
this study.
Hypothesis
2A. Hypothesis 2A stated that the more
teenagers used the Internet, the less desire they had for face-
to-face communication with their family members. Hypothesis 2A was
supported (r = - .120, p < .01). The results showed
that there is a statistically significant relation between Internet
use and decreases in desire for face-to-face communication with
family.
When
gender, ethnic background, and family income were controlled for,
respectively, a significant negative correlation still existed
between daily Internet use and desire for face-to-face communication
with family. When gender, ethnic background, and family income were
controlled altogether, the correlation coefficient was still
significant (r = - .118, p < .05).
Twenty-five
percent of respondents reported decreases in desire for face-to-face
communication with family, as opposed to just about 10% who reported
increases. The decrease-to-increase ratio is much bigger in heavy
Internet users (who used the Internet more than 89.4 minutes a day,
which is the mean of total respondents’ daily Internet use time).
About 33% of heavy users reported increases, as opposed to only
about 9% who reported decreases. The decrease-to-increase ratio in
light users was 20% to 11%.

Hypothesis
2B. Hypothesis 2B stated that the more
teenagers used the Internet, the less desire they had for
face-to-face communication with their friends. Hypothesis 2B was not
supported (r = -. 021, p > .05). Controlling
for gender, ethnic background, and family income did not make much
of a difference even though it turned the correlation from negative
to positive. Pearson’s correlation coefficient still stood at .019 (p
> .05). This finding means that Internet use does not have a
significant bearing upon desire for face-to-face communication with
friends.
Discussion and Conclusions
To most
respondents, the Internet is no longer a new technology. Nearly four
in five respondents had used the Internet for at least three years
at the time of the study. About 40% of the teenagers reported using
the Internet for five years or longer, whereas only five respondents
had less than one year of experience with the Internet.
Significantly, all of the teenagers surveyed reported using the
Internet. The 100% adoption rate is close to the finding of UCLA
Center for Communication Policy, 2003). The UCLA study
found that 97% of respondents 16 to 18 in age were Internet users in
2002. Expectedly, the results confirmed the existence of a
significant disparity among four ethnic groups in Internet access at
home, F (3,343) = 10.7, p < .01) and in length of Internet
experience, F (4, 343) = 2.93, p < .05. Ninety percent of
white (Caucasian) students had Internet access at home, compared to
67% for African-Americans, and 79% for Hispanics. Notably, all 18
Asians surveyed reported having Internet access at home The results
also showed that the higher family income the teenagers had, the
more likely they had Internet access at home, F (4, 342) = 15.6,
p < .01).
The results
of this study supported the findings of previous studies (e.g.,
Fairlie, 2002) on the so-called digital divide in Internet access.
The Fairlie study reported that African-Americans and Hispanics
trailed white Caucasians in access to the Internet at home, and
Hispanics used the Internet the least among all major ethnic groups.
On
face-to-face communication with family, daily Internet use was the
only negative significant predictor (β = -.107, p <
.05). The finding suggests that the more time the teenagers spent
online, the less time they spent with their family. Neither Internet
experience nor family income had a significant impact on the
teenagers’ face-to-face communication with family.
Discussions of Testing Research Hypotheses
This study
found that Internet use was significantly linked to decreases in
face-to-face communication with family as hypothesized (Hypothesis
1A), but was not significantly related to amount of face-to-face
communication with friends as hypothesized (Hypothesis 1B).

Figure 1.
Findings of this study about impact of Internet on time spent with
family and friends
The results
supported the finding of some earlier studies (e.g., Kraut et al.,
1998; National Public Radio et al. 2000; Nie & Erbring, 2000) that
the more people use the Internet, the less time they spend time with
family. At the same time, the results contradicted the findings of
the UCLA Center for Communication Policy (2003) that the
Internet had no significant impact on the amount of time the users
spent with family.
Interestingly, Caucasian boys were most likely to use the Internet
at the sacrifice of the time spent with family (r = -
. 214, p < .01), whereas African-American girls were least
likely to give up time spent with family to go online (r =
- . 078, p > .05). The girls spent more time with
family than boys by 183 minutes to 152 minutes. The mean was 167
minutes.
By ethnic
background, African-Americans had significantly more face-to-face
communication with family. African-Americans reported spending an
average of 191 minutes on face-to-face communication with family,
compared to 158 minutes for Caucasians, 152 minutes for Hispanics,
and 120 minutes for Asians. As expected, the heavy Internet users
were more likely (r = - .128, p < .05) to sacrifice
their time spent with family to use the Internet than the light
users (r = - .035, p > .05). Girls also spent more
time with friends than did boys, and African-Americans spent more
time with friends than other ethnic groups. Girls reported spending
an average of 141 minutes with friends, compared with 134 minutes
for boys, and African-Americans reported having an average of 168
minutes of face-to-face communication with friends, compared to 134
minutes for Caucasians, 116 minutes for Asians, and 84 minutes for
Hispanics.
In sum, the
findings of this study, at best, only partly support the
time-displacement theory, the key theoretical background of this
study, that posited that if people start a new activity, they will
have to quit or reduce some of their old activities. Consistent with
the time-displacement theory, the respondents in this study were
spending time online at the sacrifice of time with their family
Internet Use and Desire for
Face-to-Face communication
The
Internet has cut into not only the actual amount of time spent on
face-to-face communication with family, but also desire for
face-to-face communication with family as hypothesized (Hypothesis
2A). This study found a significant negative correlation
(r =
- .120, p < .01) between the amount of time spent online and
desire for face-to-face communication with family. In other words,
the more people used the Internet, the less desire they had for
face-to-face communication with family.
The
decrease in desire among the teenagers for face-to-face
communication did not mean a corresponding decrease in the actual
amount of time they spent with their family. The results showed that
the teenagers’ desire for face-to-face communication with family
members was not significantly associated (r = .049, p
> .05) with the actual amount of time they reported spending with
their family. It may be speculated that the teenagers may have to
spend time with their family regardless of their desire for spending
time with them because they still are dependent on their family,
more specifically their parents, for financial and other needs.
While daily
Internet use was found to have a significant impact on the
teenagers’ desire for face-to-face communication with family, it was
not found to have a significant impact upon desire for face-to-face
communication with friends (r = -.021, p > .05). These
results were consistent with the earlier finding of this study that
Internet use did not have any significant impact on the amount of
face-to-face communication with friends.
In
conclusion, teenagers were going online at the risk of losing not
only the time that they spent with family, but also desire for
social interaction with family. This shows that use of the Internet
was displacing not only the time they spend with their family, but
also their desire for having social interaction with family.
Limitations of This Study
The
greatest limitation of this study involves the inadequate sampling
method which is inherent in many survey studies. Because the sample
was not randomly selected, the outcome of this study can not be
generalized to other demographic groups. While the use of non-random
sampling may present a limitation, it may also become a strength.
This study
sampled students of a local high school with a primary purpose of
controlling extraneous variables, such as age, education, and
Internet access at school. In fact, some previous studies (e.g.,
Kraut et al., 1998) found that these demographic factors were
extraneous variables in this type of Internet study.
Another
major limitation is that this study is based on a cross-sectional
survey instead of a longitudinal one, which may get a more accurate
picture of respondents’ patterns of Internet use and daily off-line
behaviors, such as face-to-face communication with family and
friends. Because this study was designed to investigate teenagers’
pattern of Internet use and other daily activities, a longitudinal
survey would be desirable over a one-time cross-sectional survey. In
a cross-sectional survey, some respondents’ unusual one-time
behavior, such as excessive Internet use or unusually long
face-to-face communication, can distort the outcome of the entire
survey, particularly when the respondents are asked to report their
Internet usage and the time spent with family and friends on the
previous day, as this study did. Such a problem could be minimized
in a longitudinal survey
Another
major limitation of this study is that it was heavily dependent on
respondents’ self-reports for measuring key variables such as desire
for face-to-face communication, instead of using an established
measurement scale though one did not exist. In fact, heavy
dependence on subjects’ self-reporting has long been criticized as a
major shortcoming of uses and gratifications studies. With such
criticism in mind, this study made efforts to help the respondents
answer questions as accurately as possible. One of the efforts was
using a 5-point Likert-type scale instead of more complex 7-point or
10-point scales. It was based on the assumption that, though
respondents may not be able to put a numerical value on their desire
for face-to-face communication with others because of the absence of
a scale to do the measurement, they may be able to fairly accurately
tell whether the desire has increased or decreased by "a lot" or by
"a little" or remained "unchanged."
Significance of This Study
This study
is important for several reasons. First and most significantly, this
study apparently is the first major reported research investigating
the relationship between Internet use and the desire for
face-to-face communication. A few research results (e.g., Nie &
Erbring, 2000) have been reported on the impact of the Internet use
on face-to-face communication, but none of the previous studies has
looked into how Internet use affects desire for face-to-face
communication. Investigating whether Internet use increases or
decreases desire for face-to-face communication with others,
particularly family, may be more important than finding out whether
Internet use increases or decreases amount of face-to-face
communication. In an ever-busy modern life, people may not be able
to find as much time to spend with family as they want. A problem
exists if people want to spend time with their family, but they
cannot do so because of work or for other compelling reasons.
However,
the problem is vastly greater if people do not spend time with
family because they have lost the desire for doing so. Without the
desire, they may no longer have genuine family discussions. For this
reason, this study’s finding of Internet use’s association with loss
of desire among teenagers for face-to-face communication with family
is important. This study found that the more time the teenagers
spent online, the less desire they showed for face-to-face
communication with family and for doing homework. The results
suggest that Internet use may displace not only teenagers’ time to
do some of their key daily activities, such as face-to-face
communication with, but also their desire for doing them.
Suggestions for Future Research
If Internet
use has changed people’s desire for face-to-face communication, as
this study found, the change would certainly not have been made
overnight. The change toward either an increase or a decrease would
most likely have been formed over a long period of time. In that
sense, a one-time survey as was used by this study may not be the
best method to investigate such a change. A longitudinal survey or a
panel study would be a more appropriate research method.
Some
modifications are recommended to be made on the way questions are
asked, if the questionnaire used by this study is replicated. For
instance, on the amount of time spent online, respondents may be
given a range of amount of time (for example 1) zero, 2) under 30
minutes, 3) 30 minutes-one hour, 4) 1-3 hours, 5) over 3 hours), and
be asked to choose one that best suits them, instead of being asked
to report an exact amount of time that they think they spent online.
The reason for this suggestion is that most people have a hard time
accurately remembering how much time they spent with the Internet or
with their family.
Because
people’s personality traits (e.g., introvert/extrovert, reticence,
low self-esteem) are directly linked to their interpersonal
communication behaviors (Burgoon, 1976), loneliness (Russell, 1996)
and Internet use, these personality factors should be investigated
in a future study. It is almost intuitive that the introvert may be
less willing to communicate with others than the extrovert because
the introvert is characteristically shy and withdrawing from others.
A future study also needs to take into account the respondents’ (if
the study is a survey) family relationships because relationships
with family members may be again intuitively closely linked to the
amount of family communication. Family relationship may be the best
predictor of family communication because the relationship is to
establish communication (Littlejohn, 1996). It is also suggested
that a future study measure family communication in both quantity
and quality because quality, which this study failed to measure,
should be as important as quantity in any communication. To measure
both quantity and quality of family communication, an alternative
method of study such as directly observing family interactions may
be considered. Personality traits may be a predictor of online
behaviors (Scealy, Philips, & Stevenson, 2002; Swickert et al.,
2001). The two studies found that shy people and introverts were
more likely to use the Internet for leisure than extroverts.
Conclusions
Time-displacement theory quite intuitively posited that if people
start a new activity or begin to use a new technology, they will
have to quit or reduce the time spent with old activities or old
technologies. Consistent with the theory, this study found,
Internet
use was significantly associated with a decrease in desire for
face-to-face communication with family. In other words, the more
time teenagers spent online, the less desire they had for seeing and
talking with their immediate family members. Some people may argue
that it might be the reverse: The less desire teenagers have for
interacting with their family, the more they go online. The reverse
could be true, but this study asked the respondents clearly whether
the Internet has increased or decreased or not changed their desire
for face-to-face communication with family. These findings indicate
that the Internet may not only reduce the time people spend with
their immediate family, but also may even change their attitude
toward family and make them withdraw from their parents and other
immediate family members. To support this view, this study also
found that decreases in the desire for face-to-face communication
with family were significantly associated with using the Internet
for escape. In other words, as teenagers spend more time online,
they lose desire for spending time with their parents and other
family members and try to find an escape in cyberspace.
Finally,
for some people, the findings of this study about the Internet’s
adverse impact on desire for social interaction with family may
sound like a doomsday story. After all, the Internet is a tool and a
technology at people’s disposal. By no means are they obliged to use
it, though admittedly they need to use it often at work or for
homework or for personal communication. As the results of this study
may indicate, the Internet itself is not a problem. The real problem
is how people use it. As the results showed, people who go online to
avoid contact with others and to escape from the real world may be
more likely to lose the desire for social interaction even with
their family. As McKenna and Bargh (2000) aptly opined, the Internet
may only be what the users make of it. In other words, the Internet
could become a great social technology to help people to connect
with others and to expand their social horizon. At the same time,
the Internet could become a socially isolating technology if people
use it to avoid contact with people around them and to escape from
the real world. All in all, the Internet is a technology still
changing at a blazing speed, and it may be still premature to
determine it as either a socializing technology or isolating one.
References
ActiveMedia
Research (1998, January 16). Television viewing is down
significantly.
Retrieved
December 5, 2002, from http://
www.nua.net/surveys/index.cgi?F=VS&art_id=884977430&rel-true.
Belson, W.,
A. (1961). The effects of television on the reading and the buying
of newspapers and magazines. Public Opinion Quarterly, 25(3),
366-381.
Burgoon, J.
K. (1976). The unwillingness-to-communicate scale: Development and
validation. Communication Monographs, 43(1), 61-69.
Chesebro,
J. W., & Bonsall, D. G. (1989). Computer-mediated communication:
Human relationships in a computerized world. Tuscaloosa: The
University of Alabama Press.
City of
Carbondale. (2004). Carbondale, Illinois. Retrieved May 14, 2004
from
http://www.city-data.com/city/Carbondale-Illinois.html.
Coffin, T.
E. (1948). Television’s effects on leisure-time activities.
Journal of Applied Psychology, 32, 550-558.
CyberAtlas.
(2002, January 31). Teens prefer Internet to telephone.
Retrieved May 2, 2003, from
http://www.nua.com/surveys/index.cgi?f=VS&art_id= 90535761&rel=true.
Fairlie, R.
W. (2002). Race and digital divide. Retrieved Oct. 20, 2004, from
http://www.jcpr.org/wpfiles/fairlie_digital_divide.pdf.
Fitzpatrick, M. A., & Vangelisti, A. L. (1995). Explaining family
interactions. Thousand Oaks, CA: Sage.
Fulk, J., &
Ryu, D. (1990, June). Perceiving electronic mail systems: A
partial test of social information processing model of communication
media in organizations. Paper presented at the annual meeting of
the International Communication Association, Dublin, Ireland.
Katz, J.
E., Rice, R. E, & Aspden, P. (2001). The Internet, 1995-2000:
Access, civic involvement, and social interaction. American
Behavioral Scientist, 45(3), 405-419.
Kaye, B. K.
(1998). Uses and gratifications of the World Wide Web: From couch
potato to Web potato. New Jersey Journal of Communication, 6(1),
21-40.
Kohut, A.
(1996, May). TV news viewership declines (press release).
Washington, DC: Pew Research Center.
Kraut, R.,
Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A.
(2002). Internet paradox revisited. Journal of Social Issues, 58(1),
49-74.
Kraut, R.,
Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., &
Scherlis, W. (1998). Internet paradox: A social technology that
reduces social involvement and psychological well-being? American
Psychologist, 53(9), 1017-1031.
Lee, W., &
Kuo, E. C. Y. (2002). Internet and displacement effect: Children’s
media use and activities in Singapore. Journal of
Computer-Mediated Communication, 7(2).
Littlejohn,
S. W. (1996). Theories of human communication (5th Ed.).
Belmont. CA: Wadsworth.
Maccoby, E.
E., & Martin, J. (1983). Socialization in the context of the family:
Parent- child interaction. In P. H. Mussen (Series Ed.) & E. M.
Hetherington (Vol. Ed.),
Handbook of
child psychology: Vol. 4. Socialization, personality, and social
development (4th Ed., pp. 1-101). New
York: Wiley.
McKenna, K.
Y. A., Green, A. S., & Gleason, M. E. J. (2002). Relationship
formation on the Internet: What’s the big attraction? Journal of
Social Issues, 58(1), 9-31.
McKenna, K.
Y. A., & Bargh, J. A. (2000). Plan 9 from cyberspace: The
implications of the Internet for personality and social psychology.
Personality and Social Psychology Bulletin, 4, 57-75.
National
Public Radio, Kaiser Family Foundation and Kennedy School of
Government. (2000). Survey shows widespread enthusiasm for high
technology. NPR Online Report, 3.
National
Telecommunications & Information Administration. (1999, November).
Falling through the Net: Defining the digital divide. Retrieved May,
2004, from
http://www.ntia.doc.gov/ntiahome/fttn99/contents.html
Nie, N. H.,
& Erbring, L. (2000). SIQSS Internet and society study.
Retrieved April 21, 2002, from Stanford University, Institute for
the Quantitative Study of Society: