0
@gdecugis
Inventing the future of publishing
through human-curated big data
Guillaume Decugis
Co-Founder & CEO – Scoop.it
@gdecugis
Tim Berners-Lee, 1999
“I have a dream for the Web [in
which computers] become
capable of analyzing all the
data ...
@gdecugis
The Web today
I’m talking
to you!
I’mlooking
for you!
@gdecugis
Hi, my name is Guillaume.
I’m an Engineer and I like data too.
And also now an Entrepreneur (Musiwave, Scoop.it)
@gdecugis
We Engineers love data and
algorithms.
@gdecugis
In 1993, I built a neural network
algorithm…
…to predict stock
market performance
based on financial data
@gdecugis
This is where I’d be if it had worked
@gdecugis
People produce a
lot of content
@gdecugis
And yes, algorithms can filter content
based on analytics, social data…
@gdecugis
But smart systems use people to correct
data.
@gdecugis
And people like to do it.
@gdecugis
Media is discovery. Not Search.
What I know
What I know
I don’t know
Search Media
What I don’t know
I don’t know
@gdecugis
“Curation starts when Search stops
working”
Clay Shirky, 2010
@gdecugis
The Search for the perfect Content
Algorithm
@gdecugis
Human Publishing
@gdecugis
Algorithmic Publishing
@gdecugis
7 things that content personalization
algorithms do poorly
• Anticipation
• Risk Taking
• Big Picture
• Pairing
...
@gdecugis
Humanrithm
“The Algorithm + the Crowd are Not Enough”
Rand Fishkin, Moz.com
We need humans data editors/curators.
@gdecugis
Humanrithm at work – episode I
Big Data
@gdecugis
Humanrithm at work – episode I
Big Data
+ Human curation
@gdecugis
Humanrithm at work – episode I
Big Data
+ Human curation
50M pieces
curated in 18
months
= Clever Publishing
80M...
@gdecugis
Humanrithm at work – episode II
Curations in silo
@gdecugis
Recommend
Humanrithm at work – episode II
#curatethecurators
Categorize
Curations in silo
@gdecugis
Recommend
Humanrithm at work – episode II
#curatethecurators
Interest Channels
Categorize
Curations in silo
@gdecugis
The past of publishing
Content
Audience Organisation
& context
Authors
Curators
Authors
Editors
Reader
s
Value
@gdecugis
The future of publishing
Content
Audience Organisation
& context
Authors
Curators
Authors
Curators
Reader
s
Oppo...
@gdecugis
One way or another, the Web will be
organized.
What’s your favorite scenario?
@gdecugis
Thank you!
Guillaume Decugis
@gdecugis
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Inventing the future of publishing through human curated big data

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This is a talk that our Co-Founder & CEO Guillaume Decugis gave at DataWeek on October 2nd, 2013 as we launched the v4 of Scoop.it.

Semantic technology has been around for years and was supposed to save us from information overload. So far, it failed. The Semantic Web or Web 3.0 is still Tim Berners-Lee's dream, and good old Web 2.0 keeps drowning us in oceans of content. But while social media is certainly the cause of this deluge of information, it can also be the solution: first, as it provides us with a huge amount of data that we can use to qualify this information through big data technology; second, because it educated and created a need for millions to become human curators. By combining algorithms and humans, we reinvent media while bringing the meaning back to the Web.

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Transcript of "Inventing the future of publishing through human curated big data"

  1. 1. @gdecugis Inventing the future of publishing through human-curated big data Guillaume Decugis Co-Founder & CEO – Scoop.it
  2. 2. @gdecugis Tim Berners-Lee, 1999 “I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web”
  3. 3. @gdecugis The Web today I’m talking to you! I’mlooking for you!
  4. 4. @gdecugis Hi, my name is Guillaume. I’m an Engineer and I like data too. And also now an Entrepreneur (Musiwave, Scoop.it)
  5. 5. @gdecugis We Engineers love data and algorithms.
  6. 6. @gdecugis In 1993, I built a neural network algorithm… …to predict stock market performance based on financial data
  7. 7. @gdecugis This is where I’d be if it had worked
  8. 8. @gdecugis People produce a lot of content
  9. 9. @gdecugis And yes, algorithms can filter content based on analytics, social data…
  10. 10. @gdecugis But smart systems use people to correct data.
  11. 11. @gdecugis And people like to do it.
  12. 12. @gdecugis Media is discovery. Not Search. What I know What I know I don’t know Search Media What I don’t know I don’t know
  13. 13. @gdecugis “Curation starts when Search stops working” Clay Shirky, 2010
  14. 14. @gdecugis The Search for the perfect Content Algorithm
  15. 15. @gdecugis Human Publishing
  16. 16. @gdecugis Algorithmic Publishing
  17. 17. @gdecugis 7 things that content personalization algorithms do poorly • Anticipation • Risk Taking • Big Picture • Pairing • Social Importance • Mind-blowingness • Trust Eli Pariser, 2011
  18. 18. @gdecugis Humanrithm “The Algorithm + the Crowd are Not Enough” Rand Fishkin, Moz.com We need humans data editors/curators.
  19. 19. @gdecugis Humanrithm at work – episode I Big Data
  20. 20. @gdecugis Humanrithm at work – episode I Big Data + Human curation
  21. 21. @gdecugis Humanrithm at work – episode I Big Data + Human curation 50M pieces curated in 18 months = Clever Publishing 80M visitors
  22. 22. @gdecugis Humanrithm at work – episode II Curations in silo
  23. 23. @gdecugis Recommend Humanrithm at work – episode II #curatethecurators Categorize Curations in silo
  24. 24. @gdecugis Recommend Humanrithm at work – episode II #curatethecurators Interest Channels Categorize Curations in silo
  25. 25. @gdecugis The past of publishing Content Audience Organisation & context Authors Curators Authors Editors Reader s Value
  26. 26. @gdecugis The future of publishing Content Audience Organisation & context Authors Curators Authors Curators Reader s Opportunity
  27. 27. @gdecugis One way or another, the Web will be organized. What’s your favorite scenario?
  28. 28. @gdecugis Thank you! Guillaume Decugis @gdecugis
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