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A presentation about personalization and the opportunities and dangers of filters.
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Filter Bubble or Serendipity Machine
On_Tracks 28 November, 2011
The digital world of ME
We are living in a world where information comes to us
If we don’t see the information it probably isn’t important.
What does this mean for libraries?
The way it used to be
• Filing cards
• Physical book shelves
• Active search
• Manual build-up of relevance
• Interaction with librarians
• Serendipitous discoveries on the shelves
• Topical connections through physical proximity
Today search is just…
…search
Digitization creates fantastic opportunities
But with great power, comes great responsibility
Opportunity
New ways to serve your customers
Responsibility
Do not make your customers lazy
Do not create filter bubbles
What is personalization?
Interactive elements
Customization
Rule based personalization
Mathematical filtering
Social filtering
Personalization and libraries
Interactive elements
• Not that relevant
Customization
• Subscribe to subjects
• Subscribe to authors
• Personal dashboard
Rule based personalization
• People who searched for
phenomenology should see
more of this next time they
search
• People who search for more
than 5 minutes should get
personal chat help
Mathematical filtering
• People who searched for
”Discipline and Punish”
should also see ”The history
of Sexuality”.
• Tell us your course name and
we will recommend literature
Social filtering
• What are the people at my
course/research group searching for?
• Create personal profiles, where people
share their searches and reading
• Create subject groups, where people can
share search within specific areas
• Who are my academic subject neighbors?
What are they searching for/reading?
The dangers of filtering
We always lived in filter bubbles
But the digital bubble is different
• We are alone in our bubbles
• The filter bubble is invisible
• You don’t choose the filter bubble yourself
Why is it dangerous?
• It destroys the common agenda
• People get stuck in one perspective
• The death of academic creativity
What we should do as filter builders?
• Make filters transparent
• Make it possible to opt out of filters
• Combine machine filters with human filters
• Build in more randomness
We need filters!
But we need to build responsible filters
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