Re: [xmca] Deb Roy: The birth of a word

[Michael Lithgow <malithgow@gmail.com>]

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>
>
> 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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