Social Scientists and the Social data revolution uqam
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Transcript of Social Scientists and the Social data revolution uqam
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The opportunity for Social Data Scientists
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@cgtheoret
Part 1 The Explosion
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@cgtheoret
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@cgtheoret
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Every minute 8-10 months ago:
• 48 hours of video are downloaded on Youtube• 320 new accounts and 98,000 tweets appear
on Twitter• 168,000,000 million emails are sent • 20,000 new posts on Tumblr• 6,600 photos appear on Flickr• Over 20% of all websites are
CMS/wordpress/etc…
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Every minute today:
• 100 hours of video are downloaded on Youtube
• ??? new accounts and 236,000 tweets appear on Twitter
• 204,000,000 million emails are sent • 28,000 new posts on Tumblr• 1,600 photos appear on Flickr !!! No shit!
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@cgtheoret
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@cgtheoret
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@cgtheoret
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@cgtheoret
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@cgtheoret
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@cgtheoret
But…• Facebook has lost 1.5 million users in Canada
and 6 million in the United States • Yahoo study: 50% of the content that is read
and shared by humans is produced by only 20, 000 accounts 0.05%
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@cgtheoret
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@cgtheoret
Gartner is predicting an explosion in Social Media Analytics It spending
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@cgtheoret
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@cgtheoret
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@cgtheoret
In a lot of ways Social “Big Data” is like Oil…• Difficult and expensive to extract
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@cgtheoret
Difficult and expensive to extract
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@cgtheoret
Difficult and expensive to store and distribute
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Cheapest (and least useful) when its unrefined
@cgtheoret
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@cgtheoret
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@cgtheoret
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In a lot of ways “Big Data” is like Oil…• Can’t be used by consumers unless refined• More expensive at every step of refinement
@cgtheoret
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The Market is Producing a plethora of derived higher value data products
@cgtheoret
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@cgtheoret
In a lot of ways “Big Data” is like Oil…
• Difficult and expensive to extract• Difficult and expensive to store and distribute• Cheapest in its unrefined form• More expensive at every step of refinement• Produces a plethora of derived products• and it’s actually quite “dirty”!!!!
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@cgtheoret
Part 2
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Social Data is one of the reasons why IBM added a 4th V to the Big Data Definition
VERACITY
@cgtheoret
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Social Data Analytics = Oil Refineries
@cgtheoret
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@cgtheoret
6 factors affect Data Veracity …
1. Accuracy: Is it true?2. Precision: If true, error margin?3. Reliability: Is it there all the time?4. Provenance: Can you trace the source?5. Fidelity: Did it change from the
source?6. Permission: Can you use it for the
context?
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Black Hat SEO : Blogs
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Twitter: 46% of brand followers are bots
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Black Hat Social Marketing : Twitter
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Or in some cases over 90 %…
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Dissapearing Romney: FB as well…
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And it is getting worse …
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Trying to solve the Veracity problem …
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Trying to solve the Veracity problem …
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The Big Guys are now doing Veracity …
Murali Krishnam <[email protected]>Murali Krishnam <[email protected]>
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@cgtheoret
Part 3The Opportunity for Social Data Scientists
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@cgtheoret
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@cgtheoret
“McKinsey Global Institute estimated that by 2018 there will be 4 million big data related positions in the U.S. that require quantitative and analytical skills. However, there will be a potential shortfall of 1.5 million data-savvy managers and analysts to fill these positions”
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@cgtheoret @fffady
Zeitgeist
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady
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@cgtheoret @fffady