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Abstract Details
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Activity Number:
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328
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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| Abstract - #306572 |
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Title:
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Like My Status: Memology 2011
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Author(s):
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Jonathan Chang*+
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Companies:
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Facebook
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Address:
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Facebook, Menlo Park, CA, 94025, United States
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Keywords:
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Abstract:
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Each year, millions of people post on Facebook to share what's important to them, discuss world events, or just catch up with friends. With more than 800 million people connected around the globe on Facebook, news about the world's triumphs and tragedies spreads fast. Memology takes the pulse of this global community by comparing this year's status updates to last year's, unearthing the most popular topics and cultural trends - or memes - emerging on Facebook. Whether it's hmu, lms or tbh, each year brings a new set of three letter acronyms that go viral.
In this talk, we describe how we extract meaningful memes and identify trends from a sea of status updates.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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