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Looking back at last week, I enjoyed reading “Response: Using metadata to find Paul Revere.”  The author highlighting something i had not considered when conducting network analysis.   Without any prior knowledge of the topic, bias could arise from the analysis.  Meaning, the results from network analysis only are meaningful in the context of prior knowledge. This is a really good point, and something worth considering when conducting the network analysis for the interviews.

For this week’s reading, I think it brings up many good points.  It seems the problem the authors are attempting to create is the reductive nature of data visualizations.  There tends to be a lack of context,  overall lack of methods, and acknowledgment.  Admittedly, I never considered employing feminist theory to correct for this issue, but it seems like a viable option.