The Humanized Web: Networks, Crowds, and their
Output
(in the Digital and Social Media Track)
Internet technologies now make it possible to produce
new ideas, products, and services by catalyzing largescale
social networks and crowds. What do such social networks
and crowds produce? What should they produce? What ideas,
products, and services?
While social networks assume organic growth and an
embedding that takes place over time, crowds can be
assembled rapidly. Between the two extremes are a host of
different organizational structures, in which already
committed members of a community are deployed to create or
improve ideas. And the traces of these new organizations
are also varied, ranging from ephemeral short messages to
curated collaborative databases. The output often takes
the form of digital media, and the organization often
relies on social media.
We are interested in empirical papers that observe or
visualize the innovations produced by networks and
crowds; theoretical papers that simulate this production
through software; conceptual papers, which analyse the
phenomena of the humanized web; and design research that
creates and evaluates new tools and processes. We are
particularly open to papers that explore unusual ways of
modelling emergent organizations: models that demonstrate
or reflect the influence of social systems on user
behaviours, models that consider the multiple connections
between people, technology, and institutions, models that
break personal identity into sub-relations, and models
that examine the emergence of roles, identity, and
institutions. We are interested in
applying the ideas of James March, Mark Granovetter,
Harrison White, Charles Tilly and related scholars to
information systems.
With respect to content, the track is open to analysis
of collective intelligence, new knowledge creation,
persuasive technology, crowdsourcing, as well as ad hoc
social networks formed in response to pressing social
needs. Thus the track is open to a wide range of content
areas that lend themselves to the analysis of relations
and their products.
We are aiming to attract an audience from four groups:
1) those interested in social networks, crowdsourcing
and more generally the social web who find
a home in information systems departments,
2) computer scientists who are interested in the
analysis of network and crowd processes,
3) those who use social networks to describe social
structure and
4) industry practitioners.
Minitrack Co-Chairs:
Jeffrey Nickerson (Primary contact)
Donald Steiny
Harri Oinas-Kukkonen