Abstract
Collaborative tools typically employ linear threading for representing
and organizing the contributions of the discussants. We argue that
linear representations provide little support for the conceptualization,
contextualization, and visualization of the discussion. To address
these drawbacks, we propose the usage of semantic networks for representing
discussions. In this paper, we demonstrate the applicability of semantic
network representation to discussions through the development of
a prototype named CollectiveThought. We also test some of the potential
benefits of semantic network discussion representation with an empirical
study. More specifically, we compare these two modes of discussion
representation (i.e., linear versus semantic network) in terms of
effects on the communication process as measured by perceived contextualization
and on the communication outcome as measured by mutual understanding,
using both subjective and objective indicators. The results show
that semantic network discussion representation leads to a higher
level of perceived contextualization and better mutual understanding.
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