UMBC ebiquity

The Information ecology of social media and online communities

Authors: Tim Finin, Anupam Joshi, Pranam Kolari, Akshay Java, Anubhav Kale, and Amit Karandikar

Journal: AI Magazine

Date: September 01, 2008

Abstract: Social media systems such as weblogs, photo- and link-sharing sites, wikis and on-line 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. end{abstract}

Type: Article

Address: Menlo Park

Publisher: AAAI Press

Note: (PREPRINT)

Pages: 77-92

Number: 3

Volume: 29

Tags: social media, blog, splog, influence, spam, blog, trust

Google Scholar: kajEKd1QNOYJ

Number of Google Scholar citations: 11 [show citations]

Number of downloads: 4513

 

Available for download as


size: 1497577 bytes

Bookmark at: Digg | Del.icio.us | Connotea | CiteULike