bowdoin: data driven societies: remix
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Data Driven Societies Digital & Computational Studies Bowdoin College April 21, 2014 Professor Gieseking Lecture Slides "Remix"TRANSCRIPT

Data Driven Societies: On Algorithms & RemixProfessors Gieseking & Gaze

Reminder: Matt Wilson on 4/28
http://about.me/wilsonism

Recap: Visualizing Social Life
• Coleman: Determining respect in Anonymous via language and activist intervention hacking efforts !
• Coleman’s “code as speech” = ethical, legal, cultural ramifications of language of code, exceeds code as law and much broader

Recap: Visualizing Social Life
✦ Katz & Donovan confront anxiety around children’s and youth’s use of computers
✦ Hacking - play, curious exploration, or as a puzzle solution that helps young people to better understand and control their environments (technological and otherwise)

On algorithms and trending.

✦ Who determine Twitter “Trends”? Feedback determines further feedback loop but claims to represent the will of the people
✦ Algorithms are closely guarded (Amazon, Fb, YouTube, Digg, etc.)
✦ Sales pitch of Twitter is its free and open qualities
Can the Algorithm be Wrong?
fullerton.edu

✦ But Twitter is a corporation — one that supports anti-terrorist efforts but encrypts against NSA
✦ See also: Weibo
✦ Algorithms are not only socially constructed, the social construction is always political
✦ a la filter bubble
✦ Facebook “Friends” networks do not represent actual social networks
Can the Algorithm be Wrong?
umn.edu

These algorithms produce not barometric readings but hieroglyphs. At once so clear and so opaque, they beg to be read as reliable measures of the public mind, as signs of “us.” But the shape of the “us” on offer is by no means transparent. -Gillespie

All is not lost. Ever.

Then there is remix.

✦ R/O (Read/Only) Culture: a culture of consumption rather than amateur performance
✦ R/W (Read/Write) Culture: mixing, matching, merging traditions, ideas, and media to create new or derivative work, whether as satire, sample, etc.
✦ Remix - “critical expression of creative freedom”
Lessig’s Remix Culture
idieyoudie.com

✦ Napster created P2P (peer-to-peer) music and other file sharing - note: not yet bandwidth for movies
✦ Steve Job’s intervention in piracy: Digital Rights Management (DRM), i.e. encoding music files to not be shared
Napster v. iTunes
Napster, Apple

✦ What changed was affordability not interest (ex. record —> tape —> CD —> Mp3)
✦ see Sterne’s Mp3
✦ Amateur creativity and copyright equally important
✦ “YouTube is a picture of unmet demands.” (46)
✦ Free access pays more in data than advertiser fees
Remix Culture
Beyonce Knowles

As these businesses grow, they not only change business. They also change us. They change how we think about access to culture. They change what we take for granted. -Lessig (43)

✦ Benkler’s “writable web” of blogging —> comments —> tags and ranking systems —> other forms of “creating” exceed writing because we make more use of them
✦ RW internet as “ecosystem” vs. Donovan’s “proprietary ecologies”
Remixed Ecosystems
hostgator.com

✦ Two good remix creates for now:
✦ community
✦ education
✦ Note: remix is not new
Lessig on the Good of Remix
dugcampbell.com

Next Class: Apr. 23✦ Today: algorithms & remix
!✦ Readings: Hagy & Anderson
!✦ Lab: 4/23 ggplot2, part trois
!✦ Last blog assignment due 5/1
!✦ Hackathon 4/23(!)
!✦ DCSI lectures: David Stork on 4/21 (tonight),
Matt Wilson on 4/28 (req’d)