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Automated Sharing in Social Network Services

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Talk on automated sharing in social network services. Given at Stanford's HCI Group on Feb 9, 2011.

Talk on automated sharing in social network services. Given at Stanford's HCI Group on Feb 9, 2011.

Published in: Technology, Business

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  • “The Scrobbler” – automated sharing of music listening behavior
  • Music is important, snss too these daysSelf-presentation online, offlineSelf-reflectionNot just for others but for oneself tooProfile as a productConflicting goals
  • Yes, we have in some ways more chances and freedom for self-presentation BUT more freedom means more responsibility means more work! How to keep the profile in line with how one wants to be perceived and what one wants to believe of him/herself?
  • Interpretations are core here – strong discourse against judging anyone but the profiles were considered quite telling. And especially when it comes to one’s own profile, it is seen to represent oneself!
  • Claiming to listen to music that one didn’t (MP3 playing one thing, the computer on mute another), Hiding misfits but listening to many “good” songs to compensate, switching of temporarily, resetting the profile (to get a fresh start – however, this leads to losing one’s history in the profile, something valued…)Authenticity and ideal selves!
  • Not just music – exercise info, location information etc. Not straightforwardly good or bad, but something to take into account.
  • So technology allows new things that can be really user-friendly – but we are more complex than the sum of our behavior, hence be careful especially when the behavior info shared concerns topics of identity value
  • Transcript

    • 1. Automated Sharingin Social Network Services
      SuviSilfverberg, LassiLiikkanen & AiriLampinen
      Helsinki Institute for Information Technology HIIT
    • 2. “I’ll press Play, but I won’t listen”:Profile Work in a Music-focused Social Network ServiceTo be presented at CSCW 2011
    • 3. Online Profiles + Automated Sharing
      Last.fm & the Scrobbler
    • 4. Study
      Interviews with twelve active Last.fm(& Scrobble) users
      Youth & young adults, age range 17 to 21
      All participants had friends on Last.fm
      In Finland in 2009-2010
      Interpretative phenomenological analysis
      Focus on the experience of having an online profile
    • 5. Self-Presentation & Self-Reflection
      http://www.flickr.com/photos/9012854@N05/4965447519
    • 6. Profile Work
      http://www.flickr.com/photos/snoshuu/356119707
    • 7. Profile Work
      “Users’ experience and action in SNSs
      as they make efforts to maintain
      and manage public profiles.
      A combination of experience and action --
      guided by the interpretations users make
      of their own behavior and that of others”
    • 8. Profile Regulation
      Boosting charts artificially
      Dilution effect
      Switching off the Scrobbler
      Resetting the profile
      http://www.flickr.com/photos/juniorvelo/4490511204/
    • 9. Automated sharing can lead to changes in behavior.
    • 10. Listening to a song doesn’t necessarily mean you like it.
      Hence, next to facilitating the sharing of behavioral information…
      … allow for expressing & explaining the MEANINGS attached to behaviors.
    • 11. Thank you!
      AiriLampinen
      airi.lampinen@hiit.fi
      www.hiit.fi/~lampinen