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Cultural
Heritage and
the Crowd
Trevor Owens
@tjowens
Sep 3rd, 2013
Two problems with
Crowdsourcing
First Problem:
the word Crowd
Crowds
Most successful crowdsourcing
projects are not about large
anonymous masses of people.
They are about inviting
participation from relatively
small interested and engaged
members of the public.
Volunteers
These projects can continue a
long standing tradition of
volunteerism and involvement
of citizens in the creation and
continued development of
public goods
Second Problem:
the term Sourcing
Sourcing
is for labor
“Work consists of whatever a
body is obliged to do.
Play consists of whatever a
body is not obliged to do.”
Mark Twain, The Adventures of Tom Sawyer
A Citizen Scientist, Archivist,
or Journalist is not a laborer.
They are Amateurs in the
best possible sense of the
word.
Amateur: (French amateur
"lover of“) a person attached
to a particular pursuit, study,
or science, without pay and
often without formal training.
Still, we are stuck
with the word
crowdsourcing
Toward a richer crowdsourcing
1.Human Computation
2.The Wisdom of Crowds
3.Scaffolding Users into Expertise
4.Understanding Motivation
Human
Computation
people as computers.
People can make
judgments that
computers cant.
Human computation
sees people as
machines.
Human computation
is often about labor.
Human computation
is most interesting
when it isn’t about
labor.
Human computation’s
Key Question:
How could we use human
judgment to augment computer
processable information?
Wisdom of Crowds

The question of the web is
“Why Wasn’t I Consulted”
Wikipedia has
nothing to do with
human computation.
 Why Wasn’t I Consulted: 
is the fundamental question of the web… 
Humans have a fundamental need to be 
consulted, engaged, to exercise their
knowledge (and thus power), and no
other medium that came before has
been able to tap into that as effectively.
The Web Is a Customer Service Medium, Paul Ford

 
If you tap into the human need to be
consulted you can get some interesting 
reactions. Here are a few: Wikipedia, 
StackOverflow, Hunch,Reddit, MetaFilter, 
YouTube, Twitter, StumbleUpon, About, 
Quora, Ebay,Yelp, Flickr, IMDB, 
Amazon.com, Craigslist, GitHub, 
SourceForge, every messageboard or site 
with comments, 4Chan, Encyclopedia 
Dramatica. Plus the entire Open Source
movement.
The Web Is a Customer Service Medium, Paul Ford
Wisdom of Crowd’s 
Key Question: 
How could we foster, empower 
and consult with communities 
interested in our content? 
Scaffolding Users 
into expertise
The right tools for the job
Scaffolding 
puts one in 
position to 
do a job.
Helping someone succeed is 
often about getting them the right 
tools. All tools can act as
scaffolds to break down a task. 
We frequently embed our
expertise inside our tools. 
Measuring the Diameter of a tree
1. Measure the circumference of the tree (6 feet); 
2. Remember that the diameter is related to the 
circumference of an object according to the 
formula circumference/diameter equals 22/ z (or 
pi); 
3. Set up the formula, replacing the variable 
circumference with the value of 6 feet; 
4. Cross-multiply, getting 22 (diameter-unknown ) 
= 42 
5. Isolate the diameter by dividing 22, obtaining 
42/22 
6. Reduce the fraction 42/22 1.9 feet
Or…
Just use a measuring tape that 
has the algorithm for diameter
embedded inside it and let it 
think for you.
From Distributed Intelligence, Roy Pea
All tools can act as scaffolds to 
break down a task. We frequently 
embed our expertise inside our
tools. For example…
Example: 
Getting People to Translate a 
Firefox Extension is hard.
They need to know English, how to
edit Firefox locale files, and another
language to make any sense of this.
BabelZilla Made it so they only
needed to know the languages.
Scaffolding Users
Key Question:
How can our tools act as
scaffolds to help make the most
of users efforts?
Helping someone succeed is
often about getting them the right
tools. All tools can act as
scaffolds to break down a task.
We frequently embed our
expertise inside our tools.
Motivation
Who would want to do this and
why?
A quick story about motivation
Ben Brumfield runs a range of
crowdsourcing transcription projects.
At one point in a transcription project
he noticed that one of his power
users was slowing down, cutting
back significantly on transcribing
these manuscripts.
The user explained that they had
seen that there weren’t that many
manuscripts left to transcribe.
For this user, the 2-3 hours a day
they spent working on transcriptions
was an important part of their day
that they had decided to deny
themselves some of that
experience.
They needed to ration it out.
They needed to make sure that it
lasted.
After our basic needs are covered, the
things that generally matter most to us
are
Purpose: causes we care for
Identity: things that define us
Meaning: doing things that matter
Belonging: being a part of something
Motivating Users
Key Question:
Whose sense of purpose does
this project connect to? What
identities are involved?
The Concepts and their Questions
1. Human Computation: How could we use
human judgment to augment computer
processable information?
2. Wisdom of Crowds: How could we empower
and consult with a community of users?
3. Scaffolding: How can our tools act as
scaffolds to help make the most of users
efforts?
4. Motivation: Whose sense of purpose does
this project connect to? What identities are
involved?

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