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Computing with Social Trust

Part of the Human–Computer Interaction Series Book Series

Editors: Golbeck, Jennifer

DOI: 10.1007/978-1-84800-356-9

ISBN: 978-1-84800-355-2

Publisher: Springer London - Springer Journals

Jan 1, 2009

1 - 10 of 12 Chapters

Available

Introduction to Computing with Social Trust

Golbeck, Jennifer

Pages: 1 –5
Available

Examining Trust, Forgiveness and Regret as Computational Concepts

Marsh, Stephen; Briggs, Pamela

Pages: 9 –43

[The study of trust has advanced tremendously in recent years, to the extent that the goal of a more unified formalisation of the concept is becoming feasible. To that end, we have begun to examine the closely related concepts of regret and forgiveness and their relationship to trust and its...
Available

A Non-reductionist Approach to Trust

Castelfranchi, Cristiano; Falcone, Rino; Lorini, Emiliano

Pages: 45 –72

[We develop in this chapter a conceptual and logical model of social trust. We first present a modal logic of mental attitudes and action in which the concepts of plausible belief, certain belief, and a possibility order over formulas can be characterized. Then, we apply the logic to the...
Available

Social Trust of Virtual Identities

Seigneur, Jean-Marc

Pages: 73 –118

[Most other chapters of this book discuss computational models of trust in broader terms, giving definitions of trust, explaining how trust should evolve over time, surveying the different facets of trust .On the other hand, this chapter has a clear focus on the important element of identity in...
Available

Attack-Resistant Trust Metrics

Levien, Raph

Pages: 121 –132

[The Internet is an amazingly powerful tool for connecting people together, unmatched in human history. Yet, with that power comes great potential for spam and abuse. Trust metrics are an attempt to compute the set of which people are trustworthy and which are likely attackers. This chapter...
Available

On Propagating Interpersonal Trust in Social Networks

Ziegler, Cai-Nicolas

Pages: 133 –168

[The age of information glut has fostered the proliferation of data and documents on the Web, created by man and machine alike. Hence, there is an enormous wealth of minable knowledge that is yet to be extracted, in particular, on the Semantic Web. However, besides understanding information...
Available

The Ripple Effect: Change in Trust and Its Impact Over a Social Network

Golbeck, Jennifer; Kuter, Ugur

Pages: 169 –181

[Computing trust between individuals in social networks is important for many intelligent systems that take advantage of reasoning in social situations. There have been many algorithms developed for inferring trust relationships in a variety of ways. These algorithms all work on a snapshot of the...
Available

Eliciting Informative Feedback: The Peer-Prediction Method

Miller, Nolan; Resnick, Paul; Zeckhauser, Richard

Pages: 185 –212

[Many recommendation and decision processes depend on eliciting evaluations of opportunities, products, and vendors. A scoring system is devised that induces honest reporting of feedback. Each rater merely reports a signal, and the system applies proper scoring rules to the implied posterior...
Available

Capturing Trust in Social Web Applications

O’Donovan, John

Pages: 213 –257

[The Social Web constitutes a shift in information flow from the traditional Web. Previously, content was provided by the owners of a website, for consumption by the end-user. Nowadays, these websites are being replaced by Social Web applications which are frameworks for the publication of...
Available

Trust Metrics in Recommender Systems

Massa, Paolo; Avesani, Paolo

Pages: 259 –285

[Recommender Systems based on Collaborative Filtering suggest to users items they might like, such as movies, songs, scientific papers, or jokes. Based on the ratings Based on the ratings provided by users about items, they first find users similar to the users receiving the recommendations and...

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