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A surprising video. I can find some "old" issues: context-language relation; social networks and context; semantic analysis. Can we find there a new methodology? An innovative way to study mass media and advertising? And what about privacy and ethics in the research? … when I see this video I feel like the two faces of Janus: surprise and scare. Best, Luísa A. On 14 March 2011 14:05, mike cole <lchcmike@gmail.com> wrote: > Nice to hear from you Michael-- A fellow communication person. > > I fully agree its very exciting for researchers in mass media studies, > Michael. Think a few minutes about the level of surveillance. Think about > who could afford that tech > for that surveillance. > > When I do that it worries me. But, then, I am soooo retro! > :-) > mike > > On Mon, Mar 14, 2011 at 6:41 AM, Michael Lithgow <malithgow@gmail.com > >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/~jaylemke>> > < > > http://www.umich.edu/%7Ejaylemke <http://www.umich.edu/~jaylemke>> > > > > > > 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 > > > > __________________________________________ > > > > _____ > > > > xmca mailing list > > > > xmca@weber.ucsd.edu > > > > http://dss.ucsd.edu/mailman/listinfo/xmca > > > > > > > > > > > > > > __________________________________________ > > > _____ > > > xmca mailing list > > > xmca@weber.ucsd.edu > > > http://dss.ucsd.edu/mailman/listinfo/xmca > > > > > > > > > > > -- > > 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> > > __________________________________________ > > _____ > > xmca mailing list > > xmca@weber.ucsd.edu > > http://dss.ucsd.edu/mailman/listinfo/xmca > > > __________________________________________ > _____ > xmca mailing list > xmca@weber.ucsd.edu > http://dss.ucsd.edu/mailman/listinfo/xmca > -- Luísa Aires Universidade Aberta/Cetac.Media R.Ameal, nº 752 4200-055 Porto laires@univ-ab.pt __________________________________________ _____ xmca mailing list xmca@weber.ucsd.edu http://dss.ucsd.edu/mailman/listinfo/xmca