Publications
Authors:
  • Anna de Liddo , Agnes Sandor , Simon Buckingham Shum
Citation:
Computer Supported Collaborative Work, October 2012, Volume 21, Issue 4-5. pp 417-448
The article is available on this internet website :
<a href=http://oro.open.ac.uk/31052/1/CCI-CSCWj-2012preprint.pdf > The Open University </a>
Abstract:
We
propose
the
concept
of
Contested
Collective
Intelligence
(CCI)
as
a
distinctive
subset
of
the
broader
Collective
Intelligence
design
space.
CCI
is
relevant
to
the
many
organizational
contexts
in
which
it
is
important
to
work
with
contested
knowledge,
for
instance,
due
to
different
intellectual
traditions,
competing
organizational
objectives,
information
overload
or
ambiguous
environmental
signals.
The
CCI
challenge
is
to
design
sociotechnical
infrastructures
to
augment
such
organizational
capability.
Since
documents
are
often
the
starting
points
for
contested
discourse,
and
discourse
markers
provide
a
powerful
cue
to
the
presence
of
claims,
contrasting
ideas
and
argumentation,
discourse
and
rhetoric
provide
an
annotation
focus
in
our
approach
to
CCI.
Research
in
sensemaking,
computer-­-supported
discourse
and
rhetorical
text
analysis
motivate
a
conceptual
framework
for
the
combined
human
and
machine
annotation
of
texts
with
this
specific
focus.
This
conception
is
explored
through
two
tools:
a
social-­-semantic
web
application
for
human
annotation
and
knowledge
mapping
(Cohere),
plus
the
discourse
analysis
component
in
a
textual
analysis
software
tool
(Xerox
Incremental
Parser:
XIP).
As
a
step
towards
an
integrated
platform,
we
report
a
case
study
in
which
a
document
corpus
underwent
independent
human
and
machine
analysis,
providing
quantitative
and
qualitative
insight
into
their
respective
contributions.
A
promising
finding
is
that
significant
contributions
were
signalled
by
authors
via
explicit
rhetorical
moves,
which
both
human
analysts
and
XIP
could
readily
identify.
Since
working
with
contested
knowledge
is
at
the
heart
of
CCI,
the
evidence
that
automatic
detection
of
contrasting
ideas
in
texts
is
possible
through
rhetorical
discourse
analysis
is
progress
towards
the
effective
use
of
automatic
discourse
analysis
in
the
CCI
framework.
Year:
2012
Report number:
2012/099