Analyzing Culture With Google Books
Harperdog writes with this excerpt from Miller-McCune:
"I would not call myself a Luddite — I use digital resources all the time, in my research and my teaching. I have hundreds of PDFs of books I have downloaded from a variety of online sources — Early English Books Online, Eighteenth Century Collections Online, Gallica (the digital service of the French National Library), and yes, Google Books — that I use in my research. But when I read the Science article (abstract), I was immediately struck by what seems to me to be a fundamental flaw in its methodology: its reliance on Google Books for its sample. Google Books has focused on digitizing academic libraries. I would argue that books found in academic libraries are not necessarily representative of cultural trends across society. As any historian knows, every scholarly library is different and every library has its biases.'"
Google Books has focused on digitizing academic libraries. I would argue that books found in academic libraries are not necessarily representative of cultural trends across society.
This is just public posturing handwringing over being multicultural "enough". You wanna publicly wring your hands to get "diversity street cred", OK go wring your hands, but you don't need to actually engage the rest of us, you just need to strike the pose.
Come on, g.books has "fanny hill", which is not exactly the pinnacle of dry academic prose (to save some /.ers, its pretty good pr0n, sorta nsfw, search for it at home, to give you a cultural reference its like a very long format penthouse letters set in the 1800s). Its also got "punch" and some old amsci and just plain ole "books".
Note that we have very similar tastes in reading (err, not specifically commenting on "fanny hill" above, I mean in general), for example my ipad is stuffed full of project gutenberg goodies. In fact I'm about 50% of the way thru "a friend of caesar" by WSD. Which rocks, just like everything WSD wrote rocks, pretty much. And Xenophon rocks. And Herodotus rocks. And Thucydides rocks. etc.
"Science flies us to the moon. Religion flies us into buildings." - Victor Stenger
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Isn't this article the same one that came out to accompany google's "ngrams" (http://ngrams.googlelabs.com/) lab? I don't think these guys are trying to make generalizations about culture in general; they are only raising the possibility that, even with a small (4% of the total published) sample, interesting queries and surveys of human (although in this case Anglophone) culture can be made.
I have a sort of backburner project in which I break down the Icelandic vocabulary by morphology patterns and frequency of use, with the frequency of use arrived at by polling Google (the search engine). I figured, hey, with Google as a source, you'll get mostly people talking, plus news, plus ads, plus books, and in general a nice cross-section, right? Well, just ignoring some of my search methodology problems involving homonyms and declension forms (I have some ideas on how to counter those), I found that there were some serious biases by using Google as a search methodology which should have been obvious in retrospect. For example, "síða" (which can mean, among other things, webpage) was listed as one of the most common nouns. :)
Whatever corpus you choose, it's going to have its own biases.
Hey, guys, I'm just pleased as punch to report that it's a fleet of a hundred Vogon Battle Destroyers!
I see that updated spec adds extension for DirectX coexistence, or in other words allows you to intermix DirectX and OpenGL in same app.
Why?
To be fair, the corpus is much more rounded for the 1800-2000 English cloud, which is what they use in the science article.
Now, I'm not saying that all the data is perfect, I've found some issues - but if you actually look at the additionall materials for the science article they talk a fair bit about how theye made sure the data were good. And they spent a lot of time looking into it. I personality it. Data doesn't have to be perfect to be useful. Don't let the perfect be the enemy of the good.
*''I can't believe it's not a hyperlink.''
browsed through the figures in the Science paper and my impression is that the choice of indicators is pathetic.
Another pseudoscientific study.
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Google has digitized 5 million books from primarily academic libraries.
Microsoft began their digitization project in 2005 and abandon it in 2008, throwing users onto the tender mercies of book publishers and public libraries for content. Public libraries cannot afford to digitally scan books, even if the publishers would allow it.
Book publishers are the most vocal critics of Google's book scanning project, and to hear them wail you'd think Google was burning books, not scanning them. What the book publishers are wailing about is their perceived loss of profits because digitized books open the barn door, making mute the hope some have of renewing copyrights on material LONG resident in the public domain. In a word, greed.
Running with Linux for over 20 years!
For those who don't have access to the article, here are some conclusions based on the analysis of the, admittedly possibly skewed, data.
These types of observations are valid. Note that they are comparative within the domain, not global statements of fact.
"She's a scientist and a lesbian. She's not going to let it slide." Orphan Black
Sample selection will always cause a bias no matter how extensive it is. The important thing is that the sources are well described so that the bias(es) can be properly accounted for (I think GoogleBooks does fit that requirement). The interesting thing with this paper is that it makes use of the "-omics" approach to something that previously had been a purely scholarly subject (where the insight of the individual scholar naturally gets limited by its ability to manually absorb material, at a much lower throughput and a much smaller sample size, but arguably at a higher quality). I think this looks a lot like in my own field (molecular biology), where we wet-lab people struggle to connect two dots and variations thereof, whereas the genomics/transcriptomics/proteomics get the massive datasamples out there. The whole point however is that it is not either-or situation. In my own field, the small and focused wet-lab projects are still vital to find the new (unexpected) mechanisms, but the ideas are often pulled from results of massive data collection from the "-omics" guys.
Seems to me this entire argument goes *poof* if one replaces "culture" with "academic culture". Is there value in statistical analysis of that culture using rigorous mathematical techniques? Obviously yes. What I see is another article that uses distain to disguise the fear that arrises as it becomes clear the digitization of the world turns all fields of study into informatics. Don't worry, the "hard" sciences are having just the same problem.
Seems to me this entire argument goes *poof* if one replaces "culture" with "academic culture". Is there value in statistical analysis of that culture using rigorous mathematical techniques? Obviously yes. What I see is another article that uses distain to disguise the fear that arrises as it becomes clear the digitization of the world turns all fields of study into informatics. Don't worry, the "hard" sciences are having just the same problem.
Calling this technique "culturomics" makes it sound like it is some new field, and that analysis of this type has never been undertaken before. It is actually called bibliometrics, and it has been around for decades. Digital resources such as Google books allow now much larger amounts of data to be analyzed than was possible in the past, but this isn't some new field just invented by these researchers.