École d'été: Web Science and the Mind :UQAM
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Presentation to the Web Science summer school at UQAM, on the rise of the data scientist in the new economy
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École d'été: Web Science and the Mind :UQAM
- 1. The opportunity for Social Data Scientists
- 3. @cgtheoret
- 4. @cgtheoret
- 5. 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…
- 6. 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!
- 7. @cgtheoret
- 8. @cgtheoret
- 9. @cgtheoret
- 10. @cgtheoret
- 11. @cgtheoret
- 12. 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% @cgtheoret
- 14. @cgtheoret
- 15. @cgtheoret Gartner is predicting an explosion in Social Media Analytics It spending
- 16. @cgtheoret
- 17. @cgtheoret
- 18. In a lot of ways Social “Big Data” is like Oil… • Difficult and expensive to extract @cgtheoret
- 19. Difficult and expensive to extract @cgtheoret
- 20. Difficult and expensive to store and distribute @cgtheoret
- 21. Cheapest (and least useful) when its unrefined @cgtheoret
- 22. @cgtheoret
- 23. @cgtheoret
- 24. 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
- 25. The Market is Producing a plethora of derived higher value data products @cgtheoret
- 26. 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”!!!! @cgtheoret
- 28. Social Data is one of the reasons why IBM added a 4th V to the Big Data Definition VERACITY @cgtheoret
- 29. Social Data Analytics = Oil Refineries @cgtheoret
- 30. 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? @cgtheoret
- 31. Black Hat SEO : Blogs
- 32. Twitter: 46% of brand followers are bots
- 33. Black Hat Social Marketing : Twitter
- 34. Or in some cases over 90 %…
- 35. Dissapearing Romney: FB as well…
- 36. And it is getting worse …
- 37. Trying to solve the Veracity problem …
- 38. Trying to solve the Veracity problem …
- 39. The Big Guys are now doing Veracity … Murali Krishnam <murali.krishnam@saama.com>Murali Krishnam <murali.krishnam@saama.com>
- 40. @cgtheoret Part 3 The Opportunity for Social Data Scientists
- 41. @cgtheoret
- 42. @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”
Editor's Notes
- The Social Data Revolution
- If we look at the relationships of what people are saying we can start to spot memes… memes are proto-ideas that are taking shape in society
- With enough of these we can cleary see the connections and patterns in the chaos, we can actually start to measure the « zeitgeist »
- So that everyone with a social sciences degree with these tools will be able to see new connexions and play a vital role in exploring the largest human behavior dataset we have ever reated….
- Our current understaning of human behavior is based on surveys, polls that try to use people’s race, gender, religion, age and income to classify their behavior….
- But with the social graph we can address people by their passions, their interests, we just have to be able to exploit and understand the interest graph
- Initially the people who can do this are being called « social data scientists » this is a brand new field… there isn’t really a name yet… I prefer to call them Anthropomant people… because the understanding of human behaior that we have from fields such as Sociology, poli sci, semiotics, history, anthropolgy are essential to intepreting this mass of social data….
- Initially the people who can do this are being called « social data scientists » this is a brand new field… there isn’t really a name yet… I prefer to call them Anthropomant people… because the understanding of human behaior that we have from fields such as Sociology, poli sci, semiotics, history, anthropolgy are essential to intepreting this mass of social data….
- Initially the people who can do this are being called « social data scientists » this is a brand new field… there isn’t really a name yet… I prefer to call them Anthropomant people… because the understanding of human behaior that we have from fields such as Sociology, poli sci, semiotics, history, anthropolgy are essential to intepreting this mass of social data….
- The good news is that all of the hard stuff is now being coded by teams of engineers….