The document discusses the concept of crowd wisdom, where large groups of people can collectively arrive at accurate conclusions. It provides examples like estimating the weight of an ox or number of jelly beans in a jar. Crowd wisdom is now being applied online through platforms like Wikipedia, prediction markets, crowdfunding, and crowdsourcing solutions. However, for a crowd to be truly wise, there needs to be diversity of opinions, independence, decentralization, and aggregation of judgments. When these conditions are met, scaling up the crowd size tends to reduce errors and provide more accurate information than any individual alone.
8. Crowd-wisdom on the Web
420m unique monthly visitors 60% of web-servers run Linux 40 million monthly visitors
20 million articles
300 languages
9. Upside down thinking
Jimmy Wales, the founder of Wikipedia,
is not fond of the word crowdsoucing
because the etymology of the word is
related to outsourcing — which is an
upside down way of looking at what is
going on online.
“Here is something people are trying to
do — let’s help them do that. And what
you get out of it in the end maybe an
amazing product”
Jimmy Wales, founder of Wikipedia, talking
at Internet Week Europe this week.
15. Prediction Markets
In 2007, players in the Hollywood Stock Exchange correctly predicted 32 of
the 39 major-category Oscar nominees and 7 out of 8 top-category winners.
16. Serious Business
Corning, Renault, Eli Lilly, Pfizer,
Siemens, Masterfoods, Arcelor Mittal
and other global companies are
listed as Lumenogic (previously
NewsFutures) customers.
27. information + error
crowd error probability averaged = ~0
(i.e -10+50-60+20=0)
“information” with reduced error
28. Crowdsourcing Solutions
In recent years there has been a
number of services showing how
communities can collaboratively
come up with successful
solutions to problems and
questions.
32. The power of intuition
are
New findings in cognitive science
)
showing that intuition (gut feeling
ensed
can be thought of as “cond
any
experience” and in m ve
circumstance s can be more effecti
y.
than in depth analytical stud