1. Evaluating Event Credibility on Twitter Presented by Yanan Xie College of Computer Science, Zhejiang University 2012

2. Motivation 1.Since its launch in 2006, Twitter has gained huge popularity. 4% of the massive number of tweets constitute news. 2.Recent surveys show that just ~8% people trust Twitter, while just ~12% trust their friends’ Twitter streams. 3.A lot of rumors have been spread using Twitter in the recent past and have resulted into a lot of damage

3. Problem Definition

5. Classification-Based Approach

9. Lacks: (1)With high probability, credible users provide credible tweets; (2)Average credibility of tweets is higher for credible events than that for non- credible events; and (3)Events sharing many common words and topics should have similar credibility scores.

10. Basic Credibility Analysis

15. Performing Event Graph Optimization (1)similar events get similar credibility scores, and (2)change in event credibility vector is controlled.

16. Experiments

21. Thank you!