Showing posts with label Blog Post #2. Show all posts
Showing posts with label Blog Post #2. Show all posts

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.