© www.role-project.eu

Trust and Privacy in Social Learning Environments

Na Li, EPFL

ROLE Developer Camp

23.08.2010

Agenda

 Objective of Trust Modeling  Existing Trust Metrics  Prototype of Trust and Reputation in Graaasp  Trust-Based Privacy Management

© www.role-project.eu

Objective of Trust Modeling

 Heterogeneous user-generated content  Who 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 site  Rate 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 metric  Each activity results in a respective number of Kudos  More Kudos, more visibility and recognition  Order people list according to Kudos

Existing Trust Metrics

 Amazon – online bookstore  Rate a book (1 to 5 stars)  Average rating associate to a book  Vote 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?