ect or site; rather, technology is needed
to allow user communities to construct,
share, and adapt social machines so
successful models evolve through trial,
use, and refinement.
A number of research challenges
and questions must be resolved before
a new generation of interacting social
machines can be created and evolved
this way:
˲ What are the fundamental theoretical properties of social machines, and
what kinds of algorithms are needed to
create them?;
˲What underlying architectural
principles are needed to guide the design and efficient engineering of new
Web infrastructure components for
this social software?;
˲How can we extend the current
Web infrastructure to provide mechanisms that make the social properties
of information-sharing explicit and
guarantee that the use of this information conforms to relevant social-policy
expectations?; and
˲How do cultural differences affect the development and use of social
mechanisms on the Web? As the Web
is indeed worldwide, the properties
desired by one culture may be seen as
counterproductive by others. Can Web
infrastructure help bridge cultural divides and/or increase cross-cultural
understanding?
In addition, a crucial aspect of human interaction with information is
our ability to represent and reason
over such attributes as trustworthiness, reliability, and tacit expectations
about the use of information, as well as
about privacy, copyright, and other legal rules. While some of this information is available on the Web today, we
lack structures for formally representing and computing over them. Traditional cryptographic security research
and well-known access-control-policy
frameworks have failed to meet these
challenges in today’s online environment and are thus insufficient as a
foundation for the social machines of
the future. Recent work on formal models for privacyb has demonstrated that
traditional cryptographic approaches
to privacy protection can fail in open
Web environments. Similar problems
with copyright enforcement have
also hampered the flow of commercial and scholarly information on the
the Web is changing
at a rate that may
be greater than
even the most
knowledgeable
researcher’s ability
to observe it.
Web. 27 To this end, an exemplar Web
science research area we are pursuing involves interdisciplinary research
toward augmenting Web architecture
with technical and social conventions
that increase individual accountability
to social and legal rules governing information use. 31 Continued failure to
develop scalable models for handling
policy will impede the ability of the
Web to be the best possible medium
for exchanging cultural, scientific, and
political information.
Further, we can see from the dramatic growth of new collaborative
styles of creating and publishing information on the Web that many of the
social institutions we rely on to judge
trustworthiness and veracity are missing from our online information life.
Being able to engineer the Web of the
future requires not only understanding
it as a computational structure but also
how it interacts with and supports interaction among its users.
An important aspect of research
exploring the influence of the Web on
society involves online societies using
Web infrastructure to support dynamic
human interaction. This work—seen
in trout.cpsr.org and other such efforts—explores how the Web can encourage more human engagement in
the political sphere. Combining it with
the emerging study of the Web and the
coevolution of technology and social
needs is an important focus of designing the future Web. 30
the Web of Data
This emerging area of study involves
the heavy use of tagging provided by
many of what are known as Web 2.0
technologies. Articles, blogs, photos,
videos, and all manner of other Web
resources may be annotated with user-generated keywords, or tags, that can
later be used for searching or browsing these resources. Much has been
made of how “folksonomies,” or taxonomies that emerge through the use
of tags, can be used as metadata to
help explain the content of the objects
being described.
One aspect of tagging generating
interest today is the need for “social
context” in tagging. 26 Many tags involve terms that are extremely ambiguous in a general context. For example,
first names are popular tags on Flickr,