1. Hoax or Truth: Pattern Extraction Through Diffusion Analysis Hasan T Karaoglu

2. Outline Introduction Previous Work Meme Tracking and News Cycles Presentation by Jure Leskovic Data Collection

3. Introduction Traditional News – Who is the source ? – iReport.com Blogs – Media Interaction – Neda, Iran Election : Twitter, Flickr, Youtube – Iraq War : Blogs Hoax or Truth ? – Steve Jobs : iReport.com

4. Introduction Source: The Rumor Bomb: On Convergence Culture and Politics Jayson Harsin / American University of Paris http://flowtv.org/?p=2259

5. Previous Work Probabilistic Long Term Behavior Analysis 1)Closed World 2)Known Topology 3) Read and Spread Trace and Hyperlink Analysis 1) Inference 2) Temporal Analysis

6. Infection Spread Susceptible: An initial state of blogger just surfing Web Infected: Just run into an interesting topic, respond or copy it Recovered: No longer talk about this topic

7. Problems MISSING LINKS & JUMPS Text Similarity Link Similarity Connections MULTIPLE SOURCE DAG, Partitioning Heuristics

8. Data Resources Twitter – API http://apiwiki.twitter.com/Twitter-API-Documentation Spinn3r – http://spinn3r.com/customers

9. Discussion What we know – Various contents spread characteristics Video, Music, Entertainment, News – Various topic spread characteristics Ripples and Floods Spiky, Noisy, Resonant – Media and Blogs interacts

10. Discussion Could we capture more patterns using Complex Network Tools? – Growth – Changes over Time?

11. Q & A Thanks !!!