The information ecology of social media and online communities.: An article from: AI Magazine

The information ecology of social media and online communities.: An article from: AI Magazine Review

This digital document is an article from AI Magazine, published by American Association for Artificial Intelligence on September 22, 2008. The length of the article is 7973 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Social media systems such as weblogs, photo- and link-sharing sites, wikis, and online forums are currently thought to produce up to one third of new web content. One thing that sets these "web 2.0" sites apart from traditional web pages and resources is that they are intertwined with other forms of networked data. Their standard hyperlinks are enriched by social networks, comments, trackbacks, advertisements, tags, RDF data, and metadata. We describe recent work on building systems that use models of the blogosphere to recognize spam blogs, find opinions on topics, identify communities of interest, derive trust relationships, and detect influential bloggers.

Citation Details
Title: The information ecology of social media and online communities.
Author: Tim Finin
Publication:AI Magazine (Magazine/Journal)
Date: September 22, 2008
Publisher: American Association for Artificial Intelligence
Volume: 29 Issue: 3 Page: 77(16)

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