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

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Presentation transcript:

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

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

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

Introduction Source: The Rumor Bomb: On Convergence Culture and Politics Jayson Harsin / American University of Paris

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

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

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

Data Resources Twitter – API Spinn3r –

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

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

Q & A Thanks !!!

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