CCT 300: Critical Analysis of Media Class 9: New Media and Content Creation.
-
Upload
gervais-terence-hunt -
Category
Documents
-
view
221 -
download
0
Transcript of CCT 300: Critical Analysis of Media Class 9: New Media and Content Creation.
CCT 300: Critical Analysis of MediaClass 9: New Media and Content Creation
Administration
Comic creation marking underway
Get feedback? If not, unlock your wiki!
Feedback cycle should be done by next week, so do the above ASAP.
Manovich’s LNM
Language of New Media - distilling the core essence of new media into eight propositions
More of a media form/genre definition
N.B. “New Media” is not a chronological term (although contemporary media are more likely to be “new”)
New Media vs. Cyberculture
Proposes a distinction - new media studies forms and codes vs. social effect (e.g., media use studies, cultural studies…)
Acknowledges cyberculture as interesting but a different field entirely
New Media as Distribution
Looks at new media explicitly as channel - digital transmission, in whatever form
Representation in digital form is increasingly common - examples?
Limitations of this approach?
New Media as Software Controlled Use of data structures, modularity, automation to create
the cultural form
Digital photography/video as example; due to common technical standards for coding and manipulation, media objects can be shared and manipulated (sometimes automatically) with ease
Other examples - e.g., dynamic web pages, Google AdSense
Cultural conventions
Uneven development - just because you can represent and manipulate something in digital form doesn’t mean it will work will in practice (e.g., digital actors?)
“morph” or “composite” - earlier conceptual models survive transition to new media and impact its form (e.g., desktop metaphor vs. alternatives)
Aesthetics of New Media
New media technologies create their own established aesthetics
Example: DV movies and cheaper amateur production (e.g., http://48hourfilm.com/), YouTube, vblogging, etc.
New Media as Efficient
Computing technology executes various tasks considerably faster - e.g., 3D animation, composite photography
Efficiency opens up new possibilities that were not present before
New Media as Metamedia
New media repurposes old media, combines existing media sources (e.g., photo montage, mashups, music sampling)
Not a new phenomenon, (e.g., collage, 1920s avant-garde film) but much easier done with digital objects
New Media as Nexus of Art and Computing
Computing becomes a more right-brain, creative process - a tool to represent and create new realities vs. simply crunch numbers (although there’s lots of that still required…)
Internet as New Media
Certainly efficient metamedia
Also envelops previous forms of content/conventions
Increasingly software controlled (e.g., static vs. dynamic pages)
Webcomics show nexus of art/computing and value of digital production/distribution
Web 1.0
Web pages as simple publication - “brochureware”
Static content, little to no community participation or input
1.0 -> 2.0
Introduction of community and data management systems
Leveraging power of social networks
Data-driven content - dynamic page creation
Data manipulation and creation by users
Democratic, open-source generally
“social” web (and version 3.0 = semantic web)
SLATES (McAfee)
Search
Linking
Authorship
Tagging
Extensions
SignalsMcAfee, A.P (2006). Enterprise 2.0: The Dawn of Emergent Collaboration. Sloan Management Review, 47(3), 21-6. http://sloanreview.mit.edu/smr/issue/2006/spring/06/
Another take (Carr)
Carr, A. (2007). Designing for Sustainable Conversations. InteractionCamp 2007.http://www.slideshare.net/acarr/designing-sustainable-conversations-with-social-media-59204
Driving traffic through social media
How do you leverage social media to popularize content?
*not* just technology – build it, they won’t come. Why?
The role of content aggregators (e.g., 4chan, digg, reddit, KYM, Buzzfeed, StumbleUpon etc.) – reintermediation in content/audience dynamic
Web analytics basics
Data-driven web = data footprints everywhere
Data passed on by every web call: IP address, platform, browser, referral page
Allows for custom content (e.g., vague geolocation data, customization for plattorm (esp. mobile), content specific to source (e.g., welcoming visitors from particular sources)
Server/client interactions
HTTP as stateless (implications?)
Cookies – information passed on in web calls for session/continued use
Detailed information can be embedded to support future interaction
Implications of this?
Integration of subscriber data
Registration for social media services – what information is sometimes requested?
Profile -> action link interesting and valuable
Facebook as advertising platform -> why would subscriber data be especially valuable in FB?
Youtube analytics – age info likely from profile
Search Engine Optimization (SEO)
How do you get to Page 1 of Google?
Can (and should) happen naturally, but underhanded/unethical techniques common (examples?)
A better technique: create good content
http://igniteshow.com/videos/oatmeal-how-get-5-million-people-read-your-website-ep-69
Online advertising
Advertising = not really viral
Google Adwords = targeted to keyword searches, location
Facebook ads = potentially targeted to a range of other interests
More on all this? Take CCT356.
Weekly assignment
http://www.google.com/analytics/tour.html
What information could you learn about viewers of your meme using such a tool?
How could this information be valuable in refining meme and its propagation?