Interesting digital beams for mediational theorists to travel along,
Jay.
No one has said what they learned about acquiring a productive use
of a
proper "water" starting with gaa. I thought that the totally uneven,
shakey,
comings and goings of bits and pieces, that finally fell into place,
"the
creation of the internal plane of the word" perhaps (?), was very
interesting.
It missed a lot I wanted to know, but it also directed my
questioning, and
if Roy does not go into Military of Industrial espionage, ,interesting
questions should be answerable; we saw nothing of the multiple
threads of
other people and artifacts in the flow and they were crucial in lots
and
lots of ways.
The visualization of the mediated interactions constituting American
life
embodied in discourse in digitially mediated activity, was also pretty
amazing.
The rest is just a different face of the disasters, of such amazing
variety,
that are besetting people at the moment. I wonder what the global
mediated
discourse looks like?
mike
On Mon, Mar 14, 2011 at 5:48 PM, Jay Lemke <jaylemke@umich.edu> wrote:
Another page that may be a quicker way in to the relevant parts of
this
work is:
http://lab.softwarestudies.com/
JAY.
Jay Lemke
Senior Research Scientist
Laboratory for Comparative Human Cognition
University of California - San Diego
9500 Gilman Drive
La Jolla, California 92093-0506
Professor (Adjunct status 2009-11)
School of Education
University of Michigan
Ann Arbor, MI 48109
www.umich.edu/~jaylemke <http://www.umich.edu/%7Ejaylemke>
Professor Emeritus
City University of New York
On Mar 14, 2011, at 6:44 PM, Jay Lemke wrote:
People interested in a related approach to media analysis using
computers
to find patterns in large video and image databases might look at
the work
of Lev Manovich, author of the Language of New Media, whose
background is
more in experimental art video, and later in communication and
media theory.
He is now at UCSD, see:
http://manovich.net/cultural-analytics/
under Recent Posts and the Cultural Analytics keyword heading.
I have found his work on TV news programs, film styles, and the
manga
fascinating.
JAY.
Jay Lemke
Senior Research Scientist
Laboratory for Comparative Human Cognition
University of California - San Diego
9500 Gilman Drive
La Jolla, California 92093-0506
Professor (Adjunct status 2009-11)
School of Education
University of Michigan
Ann Arbor, MI 48109
www.umich.edu/~jaylemke <http://www.umich.edu/%7Ejaylemke>
Professor Emeritus
City University of New York
On Mar 14, 2011, at 6:41 AM, Michael Lithgow wrote:
It's my first time contributing to this listserv, but if I can
add to
the
wonder being expressed about how this technology might effect media
research
- I think the potential for studying how news frames emerge,
transform
over
time, compete and slowly solidify into shared understandings is
also
exciting. To be able to watch in something like real time the
discursive
ebb and flow of popular negotiation for hegemonic understanding is
remarkable.
Michael Lithgow
PhD Candidate, Carleton University
School of Journalism and Communication
On Sun, Mar 13, 2011 at 4:32 PM, Jay Lemke <jaylemke@umich.edu>
wrote:
Thanks, Peter. Someone also posted on this to the local LCHC group
list,
and I replied with the following after watching the video (a TED
presentation):
Yes, this is pretty amazing. I was reminded of the work that Lev
Manovich
is doing here at UCSD on cultural analytics, trying to identify
quantitative
patterns in large amounts of video and image data, such as
changing
patterns
in news programs as to how much focus there is on the presenter
vs the
content, the rise of digital content backgrounds, etc.
But the MIT group has taken this much further, particularly in
cross-linking television content to online commentary by viewers
in
real
time. This should be the end of the Nielsen ratings, if they
weren't
gone
already, but its also potentially the end of the survey industry
as
well --
why do phone surveys of hundreds when you can get real time
reactions
from
millions. I can see the news shows commissioning this for "spin"
on
major
events, speeches, maybe the 2012 election. And this may be
worrying,
because
it has an inherent tendency, esp. at the current level of the
technology (re
semantic analysis) to grossly over-simplify what are in fact
much more
complex meanings being created.
I am happy to see the work on context factors, social input and
settings,
in the work on language development in the home. It's Gregory
Bateson
meets
massively parallel computing (GB did some of the first in-home
filming
of
his daughter's first years). But in relying on very simple
indices,
like
utterance length, it's again going to oversimplify. I don't
think they
can
analyze at this point just how the setting and the dialogue,
over more
than
one turn, scaffolds a sense of meaning for the child. Much
easier of
course
to trace the growth of phonology and single word acquisition.
Still
it's a
good step.
Quite fascinating to see something Ivan and I were predicting last
year:
people getting used to multi-video displays, where in this case
you see
simultaneous video across about 6 rooms in the house in 6 video
views,
and
then all the tv/cable channels at once, dozens of small video
displays
in a
giant array. How to see this? Of course their visual magic of
re-rendering
this into a 3D fly-through view of the whole house eliminates the
simultaneity in favor of sequentiality, and some neuroscience work
suggests
that we are best at doing sequential pattern recognition. But
even a
multi-video view can appear sequential to the brain when it is
visually
scanned in real time by the eyes' movements and attention
focusing.
Every other word he says is about privacy concerns, but you
still can't
disguise the Big Brother potential here: total panopticon
surveillance,
video and audio, 24/7 in private as well as public settings. In
the UK
there
are already serious concerns being raised about access to the
ubiquitous
outdoor security cam footage, massively increased in the last 10
years
everywhere in the country, as it leaks from the anti-terrorism
units
for
whose use it was originally justified to local police
departments, etc.
Combining this with effective video and semantic pattern
recognition
algorithms presents a real danger to privacy and freedom.
Tis a good wind that blows no ill.
JAY.
Jay Lemke
Senior Research Scientist
Laboratory for Comparative Human Cognition
University of California - San Diego
9500 Gilman Drive
La Jolla, California 92093-0506
Professor (Adjunct status 2009-11)
School of Education
University of Michigan
Ann Arbor, MI 48109
www.umich.edu/~jaylemke <http://www.umich.edu/%7Ejaylemke> <
http://www.umich.edu/%7Ejaylemke>
Professor Emeritus
City University of New York
On Mar 11, 2011, at 12:30 PM, Peter Smagorinsky wrote:
MIT researcher Deb Roy wanted to understand how his infant son
learned
language -- so he wired up his house with videocameras to catch
every
moment
(with exceptions) of his son's life, then parsed 90,000 hours of
home
video
to watch "gaaaa" slowly turn into "water." Astonishing, data-rich
research
with deep implications for how we learn.
http://www.ted.com/talks/deb_roy_the_birth_of_a_word.html
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--
Michael A Lithgow
514.983.1965
PhD Candidate, School of Journalism and Communication
Carleton University, Ottawa, Canada
Research Associate, OpenMedia.ca
Contributing Editor, ArtThreat.net <http://www.artthreat.net>
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