Monday, February 3, 2014

Blog Post #2- Challenges and Opportunites in the DH


The Moretti article presents the idea of using graphs to trace the rise of the novel in a few different cultures (mostly European) and discusses how the graph data has been used correctly or incorrectly for various interpretations. He discusses how literary criticism- which has not really had a use for quantitative analytics- could be enhanced and effected by incorporating this type of data. He starts out by saying the traditional models of literary analysis (comparing it to older methods of historical research) focused on exceptional events as the primary area of focus, but Moretti is suggesting that is all the other stuff- the not so extraordinary, the everyday and mass data- can be even more useful. In this he is suggesting an opportunity for better, deeper understanding.
He describes the benefit of big data/graphs: “… a field this large cannot be understood by stitching together separate bits of knowledge about individual cases, because it isn’t a sum of individual cases: it’s a collective system, that should be  grasped as such, as a whole—and the graphs that follow are one way to begin doing this.”
What he is suggesting is that there is a greater value in looking at larger data sets, rather than isolated incidents-more macro than micro- because the larger data can reveal patterns and systems which are likely to be more useful and accurate in research.
He also (importantly) mentions that the gathering of such data is a collective and shared effort, and that the scope of this kind of research benefits from collaborations since results can be combined in multiple ways.
He supports his ideas by examining the how rise and falls of genre novels can be overlayed on the more general “rise of the novel” measures, and also how other factors (politics, generational shifts, trends) can affect the preliminary assumptions.
Because the new scholarship he is discussing are graphs, I don’t see him as blowing up any ivory towers. I can’t see any traditional humanities scholar being horrified by this- it’s really just looking at the same information (the rise of the novel) with fresh eyes (quantitative graphs)- taking into consideration other relevant information. I would hope that a traditional humanist would see it as an enhancement rather than a threat to traditional scholarship.
I think students would be very receptive to multiple ways of analysis- especially the ones with visualizations, but I think it’s important to have them stand in relationship to other sources. Data is most useful when viewed through multiple contexts. For example: English books imported in India as a graph relates one thing. Considering other data like information of the political climate, the cost of paper at the time, even sailing data patterns etc., changes the way we would read the data.
A graph, although we like to think of them as neutral or unbiased is so open to interpretation, if it’s isolated as a singular source. As pointed out in the article, It’s the layering of information gathered by the graphs that provides a real understanding.

4 comments:

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  2. As someone attuned to the advantages of words and images (I saw the NY Time write-up on your paintings -- congratulations!), you would seem to have an excellent perspective on the relationship between the verbal and the visual and the debate in the digital humanities that moves between 'close reading' of an author's words and these graphs (distant reading of hundreds and thousands of works). Moretti was already an established literary critic when he turned to the digital humanities at mid career. So, it's almost like he found traditional theory and criticism as inadequate. (Many people have had this feeling, right? But few get to do something entirely different.). It's probably true that he ruffled a few feathers in making this switch. (Elsewhere in his book, he says something like you never have to read primary sources again -- just use 'metadata.' In fact, several of his impressive graphs in the excerpt we read here are based on bibliographic / library records or secondary sources that list works, not even computer scans of actual books. There's a real level of indirection here.) Thanks for the post.

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  3. I think your example of how a graph showing English books imported to India could be interpreted differently, depending on additional information or context, indicates that this type of digital scholarship may be most revealing when deployed in tandem with other types of analysis. Moretti says quantitative research provides data, but not interpretation. Other contexts (maybe additional quantitative data, maybe not quantitative) may help in formulating interpretations. Or are we to be satisfied with no interpretation (Moretti says we can be left with the problem, but no idea of a solution)?

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  4. "What he is suggesting is that there is a greater value in looking at larger data sets, rather than isolated incidents-more macro than micro- because the larger data can reveal patterns and systems which are likely to be more useful and accurate in research."----cannot agree more.

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