Networking Reference
In-Depth Information
trustable tools and recommendations. However, these systems also rely on people
for their operation and must take into account trust in their operation. They must
trust that human input is correct, timely and unbiased. They must trust that human
actions are sound. As a result, two different aspects of trust, algorithmic and human
trust, exist together in networks and depend on each other in many ways.
The dynamics of these socio-technological networks go beyond what has been
traditionally studied by social or cognitive psychology and modeled by computer
science algorithms. Leading universities are forming new academic centers ded-
icated to the study of such networks in all their complexity. In this brief, we
introduce the vocabulary necessary to study trust in socio-technological networks in
a principled way. We define trust context as an independent concept and define its
main components. We claim that the trust context describes how the trust evaluation
is dependent on other entities and gives us the first step towards a study of trust in
complex networks.
1.1
Organization of This Brief
The expected audience of this brief is network and computer scientists who study
and model trust, and develop tools to compute trust. However, we are especially
interested in trust computation that has a social or cognitive component. The
broad review of trust offered in this brief is likely to be of use to researchers and
practitioners in many other fields and help define a common vocabulary across
different disciplines.
In Chap. 2 , we give a definition of trust and provide the vocabulary necessary
to study trust context in networks. In particular, we would like to define who is
trusting whom for what, which signals are used to judge trust and how these signals
are combined. The chapter introduces the readers to the notion of trust context as
the encapsulation of the trust evaluation process.
We then introduce a survey of social psychology research in Chap. 3 ,
with a specific emphasis on different network contexts that impact the trust
evaluation. We also survey cognitive psychology research that explains how trust
beliefs are formed and evaluated. We include related research in information
trust and credibility to further show the difference in evaluating trust for
information and for actions, two different contexts. We especially concentrate
on some recent work in these fields that has not yet percolated into the computer
science discussion and models. The social and cognitive psychology research
that is often used as a reference in computational models seems to draw
from a somewhat limited pool. Furthermore, some computational models make
assumptions that are somewhat ad-hoc, not verified in experimental studies. Our
hope is to infuse a broad perspective into this discussion by introducing some new
perspectives in thinking about trust, and point researchers to the different lines of
research in social and cognitive psychology.
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