Trust

Trust is a complex philosophical, social and technical notion, but it underlies many of our digital interactions including e-commerce and collective intelligence. In this lecture we will look at how different disciplines, including Psychology, Sociology and Economics have come to understand Trust through the lens of their own studies, aims and goals, and will explore how computer scientists and software engineers have implemented trust models based on policy, provenance and reputation. We will take a closer look at both Global and Local reputation-based trust, and see how assumptions of transitivity and asymmetry are useful. Finally we will explore trust issues around the largest known store of human knowledge: the Wikipedia

Hartley Library Induction for Psychology Undergraduates October 2009

This presentation provides some basic information and orientation for the new cohort of Undergraduates entering the BSc (Hons) Programme in the School of Psychology, University of Southampton.

Trust and Privacy Concern Within Social Networking Sites - A Comparison of Facebook and MySpace

Trust and Privacy Concern Within Social Networking Sites - A Comparison of Facebook and MySpace - Analyzed Paper

Doctorate in Clinical Psychology Southampton Resources

These materiels are presented as a resource for supervisors involved with the Clinical Psychology Programme for 2013- 2014.

An analysis of trust in anonymity networks in the presence of adaptive attackers

Introduces extended Crowds protocols. Optional reading

Social Media Analytics: Trust and Power

In this lecture for a second year interdisciplinary course (part of the curriculum innovation programme) We explore the scope of social media analytics and look at two aspects in depth: Analysing for influence (looking at factors such as network structure, propagation of content and interaction), and analysing for trust (looking at different methods including policy, provenance and reputation - both local and global). The lecture notes include a number of short videos, which cannot be included here for copy-write reasons.

INFO6003 (2013) Towards a formal framework for computation trust -- paper

the introduction of this research paper (especially pg 2-4) and its list of references may be useful to clarify the notions of Bayesian learning applied to trust as explained in the lectures. This is optional reading

trust pie

trust pie