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Title:

Keeping it Human in the Age of Big Data

Your vote:
Yes No
Organizer:
Matthew Ogle, Last.fm
Description:
"The selection and placement of stories on this page were determined automatically by a computer program." - http://news.google.com Or was it? At Last.fm we've grappled with how to present and filter our user-generated music data, but also how to mix in true editorial content. Humanizing core features was much of the impetus for the recent re-launch.
Questions
Answered:
  1. How do you warm up data so it comes across as human, lovingly hand picked (by people and robots) and served up just for you?
  2. How do you make and communicate editorial decisions about dataset choices?
  3. How do you reconcile these datasets with true editorial?
  4. How can you showcase crunched numbers in a way even your mom can get excited about? Case study: www.last.fm/music
  5. How can you create serendipity with data, so it creates an emotional connection with the user at the right time?
  6. Can wisdom of the crowd principles can co-exist alongside more editorial marketing content?
  7. Can old media editorial models that drive taste exist with (and possibly support) new models?
Level:
Advanced
Category:
New Technology / Next Generation
Type:
Dual
Event:
SXSW Interactive 2009
Matthew Ogle
on 19/8/08
This is a dual presentation with Hannah Donovan. We'll be drawing our last couple years in the trenches of Last.fm's product team and tackling questions like:

* How do you warm up data so it comes across as human, loving hand-picked (whether by people or robots) and served up just for you? In a way your mom can understand?

* How do you make and communicate editorial decisions about dataset choices? What happens when you don't?

* How do you reconcile user-driven data with true editorial content?

* How can you create serendipity and emotional connections with data?

* Can old-media editorial models that drive taste ever coexist with (or even support) these new models?

Plus, tales of music, number crunching, and how to stay friendly with your data while attempting to do what every great indie band does sooner or later -- going mainstream.
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on 17/10/09
Very interesting discussion, thank you
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