The Information ecology of social media and online communities

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https://www.aaai.org/ojs/index.php/aimagazine/article/view/2158

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http://hdl.handle.net/11603/12123

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
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2008-09-01

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journal articles preprints
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Citation of Original Publication

Tim Finin, Anupam Joshi, Pranam Kolari, Akshay Java, Anubhav Kale, and Amit Karandikar, The Information ecology of social media and online communities, AI Magazine, 2008, https://www.aaai.org/ojs/index.php/aimagazine/article/view/2158

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Subjects

ecology
social media
online communities
spam
UMBC Ebiquity Research Group

Abstract

Social media systems such as weblogs, photo- and linksharing 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.