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Social Information Processing

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Social Information Processing

March 26-28, 2008

AAAI Spring Symposium

Stanford University


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Definition

  • Social Information Processing is

    • an activity through which collective human actions organize knowledge

    • process which allows us to collectively solve problems far beyond any individual’s capabilities

    • a new information processing paradigm enabled by the Social Web

AAAI Social Information Processing Symposium


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The Social Web

  • The Social Web is a collection of technologies, practices and services that turn the Web into a platform for users to create and use content in a social context

    • Authoring tools blogs

    • Collaboration tools  wikis, Wikipedia

    • Tagging systems  del.icio.us, Flickr, CiteULike

    • Social networking  Facebook, MySpace, Essembly

    • Collaborative filtering  Digg, Amazon, Yahoo answers

AAAI Social Information Processing Symposium


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Social Web features

  • Users create content

    • Articles, opinions, creative products

  • Users annotate content

    • Metadata (e.g., tags)

    • Ratings

  • Users create connections

    • Between content and metadata

    • Between content or metadata and users

    • Among users (social networks)

  • Users interact

    • Discuss and rate content

AAAI Social Information Processing Symposium


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Social Web is interesting

  • Social Web as a complex dynamical system

    • Complex collective behavior emerges from actions taken by many users

      • Patterns emerge on large scale

    • Variety of interactions between users

      • Coordination, collaboration, conflict …

      • Network vs environment-mediated

AAAI Social Information Processing Symposium


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Social Web is interesting

  • Social Web as a knowledge-generating system

    • Users express personal knowledge (through articles, tags, links, …) or modify knowledge expressed by others

      • Tailor information to individual user …

        • Personalization and recommendation

      • … or combine users’ knowledge to create a knowledgebase

        • Wikipedia, wikis

        • folksonomy

        • FAQs, …

AAAI Social Information Processing Symposium


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Social Web is interesting

  • Social Web as a problem-solving system

    • By exposing human activity, Social Web allows users to harness the power of collective intelligence to solve problems

      • Manage the commons

      • Help the visually impaired get around in new places

      • Figure out who to trust

AAAI Social Information Processing Symposium


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Social Web is interesting

  • Lots of data for empirical studies

    • Large-scale experimenation

    • Social Web is amenable to analysis

    • Design systems for optimal performance

AAAI Social Information Processing Symposium


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Social Web is challenging

  • Social Web is enormous and growing rapidly

    • Some popular sites have >1 million users and >1 billion objects

    • 2G/day of “authored” content

    • 10-15G/day of user generated content[From Andrew Tomkins, Yahoo! Research]

  • Need new computational techniques to process massive data

AAAI Social Information Processing Symposium


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Social Web is challenging

  • Social Web is highly dynamic

    • New users and content

    • Links are created and destroyed

  • Need new computational approaches to deal with dynamic data

AAAI Social Information Processing Symposium


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Social Web is challenging

  • Social Web is highly heterogeneous

    • Variety of content and media types

    • Variety of information domains

  • Needs to be even more heterogeneous

    • Ability to express knowledge at different granularity levels

      • Micro-tagging: tag data within pages

    • Ability to express more complex knowledge

      • Specify relations: e.g., semantics of links

  • Need algorithms to combine heterogeneous data

AAAI Social Information Processing Symposium


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Social Web is challenging

  • Social Web is highly diverse

    • User participation has power law distribution

    • User expertise has power law distribution

  • Need approaches that go beyond ‘wisdom of crowds’ to combine knowledge from users

    • Averaging is not always the best solution

    • How do we best exploit diversity?

  • Understand incentives for user participation

    • Methods for improving content/metadata quality

AAAI Social Information Processing Symposium


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Schedule - Wednesday

9:00-9:15 Welcome

9:15-10:30amInvited talk

Bernardo HubermanSocial Dynamics in the Age of the Web

10:30-11am Break

11-12:30pm Technical Session: Moderator Cosma Shalizi

Ed ChiAugmented Social Cognition

Tad HoggSolving the organizational free riding problem

Riley CraneViral, Quality, and Junk Videos on YouTube

12:30-2pm - Lunch

3:30-4pm - Break

2-3:30pm Technical Session: Moderator Kristina Lerman

Yi-Ching HuangYou Are What You Tag

Julia StoyanovichLeveraging Tagging to Model User Interests in del.icio.us

Steve WhittakerTemporal Tagging

4-5:30pm Technical Session: Moderator David Gutelius

Georg GrohImplicit Social Network Construction in Web Portals

Elizeu Santos-NetoContent Reuse and Interest Sharing

Matt SmithSocial Capital in the Blogosphere: A Case Study

6-7pm – AAAI Reception

AAAI Social Information Processing Symposium


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Schedule - Thursday

9:00-10:30amInvited talk

Brian Skyrms Signaling Games

10:30-11am Break

11-12:30pm Technical Session: Moderator Ed Chi

John NicholsonThe Blind Leading the Blind

Cosma ShaliziSocial Media as Windows on the Social Life of the Mind

Luc SteelsSocial tagging in community memories

12:30-2pm - Lunch

2-3:30pm Technical Session: Moderator Tina Eliassi-Rad

Aram GalstyanInfluence Propagation in Modular Networks

Adam AnthonyGenerative Models for Clustering: The Next Generation

Peter Pirolli A Probabilistic Model of Semantics

3:30-4pm - Break

4-5:30pm Technical Session: Moderator Tad Hogg

Hak-Lae KimBuilding a Tag Sharing Service with the SCOT Ontology

Yu Zhang Mining Target Marketing Groups From Users’Web of Trust

Sihem Amer-Yahia Reviewing the Reviewers

5:45-7:30pm – AAAI Plenary Session

AAAI Social Information Processing Symposium


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Schedule - Friday

9-10:30am Technical Session: Moderator Chris Diehl

Dennis WilkinsonMultiple Relationship Types in Online Communities and Social Networks

Tina Eliassi-RadFinding Mixed-Memberships in Social Networks

10:30-11am - Break

11-12:30pm - Wrap up – Open to all

AAAI Social Information Processing Symposium


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Posters

  • John Nicholson

    Collaborative Route Information Sharing for the Visually Impaired

  • Tad Hogg and Gabor Szabo

    Diversity of Online Community Activities

  • Cosma Shalizi, Kristina Klinkner and Marcelo Camperi

    Measuring Shared Information and Coordinated Activity in a Network

  • Anon Plangprasopchok and Kristina Lerman

    On constructing shallow taxonomies from social annotations

  • Gustavo Glusman

    Users, photos, groups, words: analyzing mixed networks on flickr

  • Praveen Paritosh

    Freebase

AAAI Social Information Processing Symposium


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Thanks to

  • Organizing committee

    Kristina Lerman, David Gutelius, Bernardo Huberman, Srujana Merugu

  • Program committee

    Jim Blythe, Arindam Banerje, Sugato Basu, Jack Park, Scott Golder, Paolo Massa, Cosma Shalizi, Ed Chi, Tad Hogg, Chris Diehl, Sihem Amer-Yahia

  • Participants

AAAI Social Information Processing Symposium


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