Web Science Tea: Information Reputation, Ratings, and Recommendation on the Web

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Friday, April 4, 2008 - 1:00pm — 2:00pm

We would like to invite you to our third Web Science Tea Meeting (with cookies, of course), this Friday, April 4, 1-2pm, at TSRB 223. Nick Diakopoulos will lead the discussion this week. He will be presenting parts from his research on collaborative information quality evaluation and analysis mechanisms for online media.

Nick's slides are now available.

Title: Information Reputation, Ratings, and Recommendation on the Web

Synopsis: I will lead a discussion on collaborative information quality evaluation and analysis mechanisms for online informational media. This will include some background on reputation and ratings systems, collaborative filtering, and interface considerations as well as features and limitations of such systems. I will then talk about my project on designing an ontology and collaborative interface for the evaluation of information quality in online video and will connect this to issues in Computational Journalism. I will detail a particular strategy I have termed "micro-vetting" which facilitates evaluation of quality in context and then run through the dynamics of this. I'm looking for feedback and suggestions for improving this (early) work including how best to evaluate it.

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Nick Diakopoulos - Information Reputation, Ratings, and Recommendation on the Web.ppt44 KB