© www.role-project.eu

Trust and Privacy in Social Learning Environments

Na Li, EPFL

ROLE Developer Camp

23.08.2010

Agenda

Objective of Trust ModelingExisting Trust MetricsPrototype of Trust and Reputation in GraaaspTrust-Based Privacy Management

© www.role-project.eu

Objective of Trust Modeling

Heterogeneous user-generated contentWho and What to Trust?

Trust depending on reputation and competence Recommendation of trusty people and services

RSS Feeds

Widgets

Documents

Videos

Wiki Pages

Pictures

Existing Trust Metrics

Epinions – product review siteRate products (Ease of Use, Batter Life, etc)Rate shops (Ease of Ordering, Customer Service, On-Time

Delivery)Rate reviews (Not Helpful, Somewhat Helpful, Helpful, Very

Helpful)Member status (Advisor, Top Reviewer, Category Lead) “Web of Trust” (Trust or Block)

Trust

How Much?

Existing Trust Metrics

ePractice – professional community of eGovernment, eHealth “Kudos” used as reputation metricEach activity results in a respective number of KudosMore Kudos, more visibility and recognitionOrder people list according to Kudos

Existing Trust Metrics

Amazon – online bookstoreRate a book (1 to 5 stars)Average rating associate to a bookVote on reviews (helpful or not helpful)Rank reviewers according to helpful votes (Top 500, Top 100…)Add “Favorite People”, influence reviewers’ rank

Prototype of Trust and Reputation in Graaasp

Rating (public, private, anonymous) Contextualized and personalized order of importance Trust inference based on trust network

Trust-Based Privacy Management

Not everything shared with everyone Sharing among trusty entities in specific context Learners’ explicit and implicit privacy preferences Privacy management towards service providers

What data should be given to who for what purpose

Questions?