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Unraveling Online Information: Hoax or Truth Patterns Analysis

Explore diffusion analysis to discern between fact and fiction online. Dive into meme tracking, data collection, and source verification to uncover the truth. Are you ready to decode the digital landscape?

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Unraveling Online Information: Hoax or Truth Patterns Analysis

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  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 PoliticsJayson Harsin / American University of Paris http://flowtv.org/?p=2259

  5. Previous Work Probabilistic Long Term Behavior Analysis Closed World 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 !!!

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