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Studying
the social effects of the Internet with a “magnifying
glass”
Sorin
Adam Matei
University of Kentucky / Purdue University (starting
Fall 2003)
smatei@yahoo.com
This panel proposes that we should go beyond the
“digital divide.” I take this to mean that while
we should incorporate in our debate some of the
concerns specific to this topic, we should try to
elevate the discussion to a broader, more theoretically
grounded explanatory framework. To facilitate this,
I propose as a discussion theme the idea that the
Internet has a “magnifying glass” effect. More specifically,
I propose a “the more, the more” research framework,
with two levels of meaning. At its simplest level
it proposes that on-line and off-line ties are interconnected.
Social ties on-line build on, rather than replace,
social ties found in reality. As the Internet becomes
part of mainstream culture and a tool of everyday
interaction, social ties on-line tend to replicate
and extend the off-line connections that pre-existed
them.
At a deeper level, this framework allows to address
thornier causal issues, such as: in what way, to
what effect and under what conditions off-line ties
shape on-line interactions? In the context of our
current discussion, about the “digital divide”,
does this mean that the “rich become richer”? However,
for me richness has multiple meanings, referring
not only to hardware access but also to the nature
of the social relationships mediated by the Internet.
The “magnifying glass” idea, which I personally
explored in a number of studies (Matei, 2001, ,
in press-a, , in press-b, ; Matei & Ball-Rokeach,
2001), is an increasingly popular one and I think
there is enough critical mass in the field to start
organizing and refining its propositions further.
Before advancing a number of more concrete questions
for a future research agenda, a brief review of
the existing literature might prove helpful for
understanding where I am coming from and where I
want to take this discussion to. Among the more
recent articles relevant for the “magnifying glass”
proposition one should mention DiMaggio, Hargittai,
Neuman and Robinson (2001), which concludes that
the Internet might “intensify already existing inclinations
toward sociability or community involvement, rather
than creating them ab initio” (DiMaggio et al.,
2001, p. 31). The Syntopia research project (Katz,
Rice, & Aspden, 2001) and the Pew Internet rolling
polls (Howard, Rainie, & Jones, 2001) further
emphasize the fact that on-line and off-line lives
are inextricably united. Kraut and his colleagues,
in their second “Internet paradox” study that looks
at loneliness, depression and Internet connectivity,
have also gleaned traces of “the more, the more”
processes. Looking at individual characteristics,
they have concluded that extroverted personalities
are more likely to benefit, psychologically, from
on-line social interactions (Kraut et al., 2002).
Data analysis of the GSS (2000 edition) Internet
module, focusing on differences between users and
non-users and between high and low social connectors
on-line, shows that it is Internet users (Neustadtl
& Robinson, 2002), and of these, those who have
stronger friendships off-line (Matei, in press-b),
that are more likely to use the Internet for social
reasons. Neustadtl and Robinson’s findings reject,
in principal, Nie’s (2001) claim that undifferentiated
Internet use leads to lower social involvement.
The results “provide little support for the conclusion
that Internet users with the greatest hourly usage
and electronic mail usage lead less active or more
constricted social lives than non-users” (Neustadtl
and Robinson, 2002, p. 94). Neustadtl and Robinson
directly suggest a “Newtonian effect”—their name
for what I call above “the magnification effect”—concluding
that Internet users also have more frequent contacts
with friends and neighbors.
In a previous study using a multi-ethnic, Los Angeles
sample I have directly studied the Internet’s “magnifying
glass effect” by comparing various ethno-demographic
groups in terms of their likelihood of making friends
on-line (Matei & Ball-Rokeach, 2001). The main
finding is that the higher the level of “belonging”
to one’s local community (which includes size of
neighborhood social contacts and subjective assessment
of neighborliness), the higher the likelihood of
making friends on-line. The study also reports significant
ethnic variations, with some Asian respondents having
a higher tendency of making friends on-line.
The
research agenda
These are tantalizing findings and they entice us
to follow up on them at individual and group levels
of analysis. Starting with the individual level—is
the relationship between off and on-line ties linear?
A hypothesis that was rarely tested is that when
off-line interactions are very high, the intensity
of on-line ties might start diminishing due to natural
time budget constraints. A person might not be able
maintain a large cybercircle of friends at the same
time with performing their social obligations in
real life. Thus, instead of on-line social interactions
increasing linearly with density of social interaction
in real life, we might discover that there is a
“tipping off point” where each increment in time
and energy spent off-line can lead to a decrease
in time or energy spent on-line.
A variation on this question, in a vein closer to
the main concern of our panel, the “digital divide”,
is to follow the relationship between off and on-line
ties over time. Here, the goal would be to see what
happens when, starting with rich social relationships
off-line, people build extensive and active social
networks in cyberspace. What is the long term cost
of this “magnification” effect? Will we discover
a “tipping off” point, too, with the difference
that after the weight of on-line social ties becomes
sufficiently great it is the fabric of social relationships
“in real life” that starts to suffer? Will the initial
richness later become relative poverty? Is this
a “perverse effect”, a way for technology to take
its revenge on its most loyal worshipers? Does technology
have, at this level and in this way, the capacity
to correct itself?
It also might be that no curvilinear relationship
will be discovered soon. In this situation, possible
media displacement effects should be considered.
If people keep adding to their social portfolio
Internet-mediated relationships, maintaining their
social ties off-line intact, they need to find somewhere
the extra time for this increasingly busy social
life. Can this time be found in downscaling or eliminating
various types of media and communicative practices
(watching tv, using he phone, reading, reducing
interpersonal contact with certain types of people—e.g.
family, etc)? If this is the case, will these communicative
infrastructures be affected due to a decline in
audience? And will those that rely on the more traditional
channels, usually in the poorer sectors of society,
have to suffer from the “rolling back” of old media?
In other words, will we witness a process similar
to that created by the emergence of cellular telephony,
which has made payphones obsolete, and which has
also inordinately affected the poorer members of
society?
Another question that we can ask at the individual
level is if the reverse of the “the more, the more”
paradigm is true. In other words, is “the less,
the more” also true? Are those that are very, very
low on the “real life” social interaction scale
more likely to prefer mediated communication?
Finally, at the same individual level, another question
should address possible “interaction” effects. Can
certain personal characteristics (propensity for
sociability, marital status, race, SES, gender,
age, etc.) shape (potentiate or diminish) the relationship
between social ties on and off-line? Do specific
ethnicities take advantage more than others of communication
technoloy? My own research suggests that Asian-Americans,
for example, are far more likely to make friends
on-line, especially with individuals of similar
ethnic background, but this proposition should be
tested in a variety of environments. Other important
questions that should be more carefully investigated
in the context of the digital divide, are those
related to socio-economic status and race.
When shifting the focus from an individual to a
group level of analysis of particular interest is
to find out if groups, seen as wholes, are affected
by the same “magnification effect” we advanced for
individual interactions. The question about the
relationship between on and off-line social ties
should be reframed as: do the social environments
created on-line overlap those found off-line? In
this context of particular importance is to explore
the role played by social capital in structuring
social action in the two arenas. Social capital,
a term invented by Coleman (1988) and popularized
by Putnam (2000), covers the social networks and
their companion values and behaviors that lead to
efficacious civic action. Do “real life” social
environments characterized by high level of social
capital lead to on-line social networks and social
capital? But, more important, and directly relevant
to the digital divide question is to study the proposition
that introducing communication technology in a community
has the capacity to rejuvenate its social fabric.
My hunch is that without a strong social fabric
to prepare the terrain for technology, the investment
will have a far lower social payoff than expected.
More importantly, because at group level we usually
witness multiplicative effects, here the magnification
will be the strongest. Digital divides can become
the widest at group level because stronger communities
do become stronger when adding communication technology
to their mix of communication channels, regardless
of amount, since time budget constraints do not
apply to this level of analysis. More communication
with members of the group/community through a multiplicity
of means usually has positive outcomes. In contrast,
in poor social capital communities, communication
technology adoption will be slower and more frustrating,
especially when the tools do not seem to perform
their magic. This can lead to disenchantment with
technology and a general suspicion that technology
is not a miracle cure. Although a true perception,
this might, however, hide from sight the fact that
it wasn’t the technology that failed the community
but poor understanding of the preconditions of technological
adoption. Personally, I have done some forays in
this arena, which indicate that when using the states
of the Union as units of analysis the magnification
effect still holds (Matei, 2002), but far more needs
to be done in this direction before ascertaining
a generalizable effect.
These are, I believe, provocative questions that
can significantly advance our discussion about the
role communication technology plays in our social
lives.
References
Coleman, J. S. (1988). Social capital in the creation
of human capital. American Journal of Sociology,
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DiMaggio, P., Hargittai, E., Neuman, W. R., &
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Howard, P., Rainie, L., & Jones, S. (2001).
Days and nights on the Internet: The impact of a
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Katz, J., Rice, R. E., & Aspden, P. (2001).
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Kraut, R., Kiesler, S., Boneva, B., Cummings, J.,
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Matei, S. (2001). The magnifying glass effect. Negotiating
individualism and community on the Internet. Unpublished
Ph. D. Dissertation, University of Southern California,
Los Angeles.
Matei, S. (2002, October 13-16). Geography and on-line
community: The socio-spatial anchoring of Yahoo!
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of the Association of Internet Researchers, Maastricht,
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Matei, S. (in press-a). The Internet as magnifying
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Matei, S. (in press-b). The Internet's "magnifying
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Matei, S., & Ball-Rokeach, S. (2001). Real and
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Neustadtl, A., & Robinson, J. P. (2002). Social
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Putnam, R. (2000). Bowling alone. New York, NY:
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