'Tis the season for conference presentations. A time when people are compelled to make grand statements and mobilize snappy visuals to back them up. In this short post I'm hoping to spark some conversation about one such resource: the Google Ngram Viewer.
For the uninitiated, the Ngram Viewer works like this: through a relatively simple user interface, you plug in one or more terms. With the click of a button, a graph pops up that tracks the frequency with which they appear in a wide range of books since 1800. C'mon, try it -- everyone's doing it. I mean, who doesn't crave quick answers to the question of 'zombies' versus 'vampires?':
But like sugar and caffeine -- two of my addictions -- the buzz wears off quickly, often leaving me more disoriented than before I imbibed.
In all seriousness, this is a tool that invites as many questions as it answers, especially when tracking concepts across different languages and cultures (although you can search in a range of other modern languages). I won't even get into the bigger issues of sampling and statistical modelling, but welcome comments on these aspects, as well.
Take an example from a recent workshop I attended on "Endangerment and it Consequences." It was exciting to be in a room with scholars from around the world, working in different cultural contexts across several centuries. However, this raised the inevitable question of terminology. In the final wrap-up, the Ngram viewer provided a provocative means of reinforcing our shared sense that "endangerment" was a timely topic; that the two days of attention had been worthwhile:
But, of course, this graphic could not tell us what the word meant or even how it has come to assume such currency. And it made it easy to forget that the ideas expressed by the English word "endangerment" might be expressed differently in other languages (or even within English, itself).
You get the point. For me, the initial buzz of "wow!" quickly gave way to a lull of "so what?" But a week later, I'm coming around to realizing that instruments like the Ngram Viewer present problems of knowledge as worthy of inquiry as concepts like "endangerment." This, I imagine, is an issue that those of you in the digital humanities are particularly well-situated to consider.
So, what I really want to know is: Have you used the Ngram Viewer in conjunction with your scholarly activities, teaching included? How? What do they tell you? What are the risks?