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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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@gdecugis
Inventing the future of publishing through human-curated big data
Guillaume DecugisCo-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 on the Web”
@gdecugis
The Web today
I’m talking to
you!
I’m looking 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• Social Importance• Mind-blowingness• Trust
Eli Pariser, 2011
@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 visitors
@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
AuthorsCurator
s
AuthorsEditors
Readers
Value
@gdecugis
The future of publishing
Content
Audience Organisation& context
AuthorsCurator
s
AuthorsCurator
s
Readers
Opportunity
@gdecugis
One way or another, the Web will be organized.
What’s your favorite scenario?
@gdecugis
Thank you!
Guillaume Decugis@gdecugis