Social information processing

Social information processing

According to the introductory set of slides [AAAI, " [ Social Information Processing] ," AAAI Spring Symposium, Stanford University, March 2008] for the AAAI "Social Information Processing" symposium, Social Information Processing is "an activity through which collective human actions organize knowledge." It is the creation and processing of information through the use of tools of the following sorts.

*Authoring tools: e.g., blogs
*Collaboration tools: e.g., wikis, in particular, e.g., Wikipedia
*Tagging systems: e.g.,, Flickr, CiteULike
*Social networking: e.g., Facebook, MySpace, Essembly
*Collaborative filtering: e.g., Digg, the Amazon Mechanical Turk, Yahoo answers

As an academic field Social Information Processing studies the information processing power of highly networked social systems.

History (of "social information processing" as an academic field)

History (of "social information processing" as an information processing mechanism)

Current state of knowledge

The [ website] for the AAAI 2008 Spring symposium on Social Information Processing suggested the following topics and questions.

:Tagging: Tagging has already attracted the interest of the AI community. While the initial purpose of tagging was to help users organize and manage their own documents, it has since been proposed that collective tagging of common documents can be used to organize information via an informal classification system dubbed a ``folksonomy." There is hope that folksonomies will eventually help fulfill the promise of the Semantic Web.

:Human computing and collective intelligence: What type of problems are amenable to human swarm computing approaches? How can we design the "wisdom of crowds" effect to benefit our problem solving needs?

:Incentives to participation: How to elicit quality metadata and content from users? How can users resistant to tagging be encouraged to tag content?

:Social networks: While users create social networks for a variety of reasons --- e.g., to track lives of friends or work or opinions of the users they respect --- network information is important for many applications. Globally, an information ecosystem may arise through the interactions among users, and between users and content. A community of users interested in a specific topic may emerge over time, with linkages to other communities giving insight into relationships between topics.

:Evolution of social media and information ecosystems: How does content, and its quality, change in time? There is increasing interest in peer-production systems, for example in how and why some open-source projects like Linux and Wikipedia are successful. Under what circumstances are user-generated content sites likely to succeed and what implications does this have for information-sharing and learning within communities?

:Algorithms: Before we can harness the power of the social information processing, we need new approaches to structured data analysis, specifically algorithms for synthesizing various types of metdata: e.g., social networks and tagging. Research in this area will provide a principled foundation for the development of new algorithms for social search, information discovery and personalization and other approaches that exploit the power of the social information processing.

ee also

* The articles in the Category.
* Social computing


External links

* [ Amazon Mechanical Turk]
* [ BootB]
* [ HP Research, Social Computing Lab]
* [ Indiana Philosophy Ontology (InPho) Project]
* [ IBM Research, Social Computing Group]
* [ InnoCentive]
* [ Long Now Bets]
* [ Microsoft Research, Social Computing Group]
* [ PARC blog: Augmented Social Cognition]

Additional sources

* AAAI, [ "Social Information Processing Symposium"] , Stanford, AAAI, March 2008.
** [ Introductory Slides]

* Camerer, Colin F., and Ernst Fehr, " [ When Does ‘‘Economic Man’’ Dominate Social Behavior?] "

* Chi, Ed H., " Augmenting Social Cognition: From Social Foraging to Social Sensemaking," ( [ video] ) (at Google), February 2007. ( [ pdf] ), AAAI Symposium, March 2008, ( [ video] ) (at PARC), May 2008.

* Crane, Riley, " [ Viral, Quality, and Junk Videos on YouTube] ," "AAAI Seminar", March 2008.

* Denning, Peter J., " [ Hastily Formed Networks] ," ACM, Apr. 2006.

* Denning, Peter J., " [ Infoglut] ," ACM, July. 2006.

* Denning, Peter J. and Rick Hayes-Roth, " [ Decision Making in Very Large Networks] ," ACM, Nov. 2006.

* Hogg, Tad, and Bernardo A. Huberman, " [ Solving the organizational free riding problem with social networks] "

* Huang, Yi-Ching (Janet), " [ You are what you tag] ," (ppt) AAAI Seminar, March 2008.

* Huberman, Bernardo, " [ Social Dynamics in the Age of the Web] ," (video) (PARC) January 10 2008.

* Judson, Olivia, " [ Feel the Eyes Upon You] ," The New York Times, Aug 3, 2008,

* Lerman, Kristina, " [ Social Information Processing in News Aggregation] ," "IEEE Internet Computing", November-December 2007.

* Lerman, Kristina, " [ Social Information Processing] ," (video) (at Google). June 2007.

* Nielsen, Michael, [ The Future of Science] . A book in preparation.

* Nielsen, Michael, [ Kasparov versus the World] . A blog post about a 1999 chess game in which Garry Kasparov (eventually) won a game against a collective opponent.

* Page, Scott E., [ "The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies"] , Princeton University Press, 2007.

* Segaran, Toby, " [ Programming Collective Intelligence: Building Smart Web 2.0 Applications] ," O'Reilly, 2007.

* Shalizi, Cosma Rohilla, " [ Social Media as Windows on the Social Life of the Mind] "

* Spinellis, Diomidis, [ Wikipedia Faces no Limits to Growth] ( [ ACM article] , subscription required).

* Stoyanovich, Julia, " [ Leveraging Tagging to Model User Interests in] ," (ppt) "AAAI Seminar", March 2008.

* Whitaker, Steve, " [ Temporal Tagging] ," "AAAI Symposium", March 2008.

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