Thursday, November 22, 2012
Here are the descriptions/options Harrison gave in class this week. Hope you had fun! OPTION 1 - MINI-ONLINE RESEARCH ASSIGNMENT You are an aspiring research assistant for a major social science project entitled “Emotional Information Seeking: ICTs and the commercialization of emotional and affective spaces online.” The project broadly investigates why ICTs are increasingly tailored towards emotional communication, resources, and identities, as part of a larger trend in marketing and commercialization. At this stage it is too early to undertake in-depth qualitative interviews. Your supervisor has asked that you select a specific example of an online environment tailored towards emotional information seeking, which might serve as an ideal case study for the project. Either individually or in small groups, pick any example, and prepare a 200 - 400 word explanation of the site/app. Include what it is, who it is tailor to, what emotional relations might exist, why it would make an ideal case study for the larger project, and (if applicable) the potential methodological challenges you will have to address. Post to blog. OPTION 2 - MINI-ETHNOGRAPHY OF INFRASTRUCTURE You are an aspiring research for a large social science project which broadly examines how urban infrastructure is being reconfigured by networked ICTs. As an exploratory study, your supervisor has asked that you go out “in the wild” and pick a particular infrastructure as a potential case study. She has no requirements or expectations concerning what kind of infrastructure you choose, and you have a carte blanche to interpret it however you see fit. Either individually, or in small groups, pick any example of something you consider to be infrastructure, and analyze it using Star’s (1999) analytical framework. Try and make the familiar strange. Prepare a 200-400 word write-up detailing your analysis. Post to blog.
Tuesday, November 6, 2012
Monday, November 5, 2012
ImagePlot of Mondrian
©2011 Manovich, UCSD, Software Studies
This free, data analysis/visualization tool, released a couple of years ago by Lev Manovich's Software Studies Initiative, appears to have some pretty AMAZING potential for facilitating large-scale media content/visual analysis. It allows you to view, sort through and analyze large image and media collections in a single visualization composed of the actual images in the data set. The visualization can be organized in a variety of ways (date, colours, etc.), which means you can also use it for identifying trends or patterns, make comparisons, discover outliers and clusters, track changes over time, etc. In relation to today's class, imagine doing an analysis of toy ads over the past 50 years, and tracking the emergence and spread of the predominance of pink/blue, as currently observed in JeongMee Yoon's photo project.
According to the ImagePlot website, you can also use the tool to turn the visualizations into animations.
I've seen some of the results (e.g. the Freakangels webcomic archive visualizations are especially cool), and am really looking forward to finding out firsthand what this puppy can do (have been looking forward to this for awhile, but haven't had any appropriate content analysis projects come up of late).
If any of you end up downloading it and testing it out, be sure to let me and the rest of the class know what you think!
Here's an excerpt of the description posted on the ImagePlot Overview page:
"ImagePlot is a free software tool that visualizes collections of images and video of any size. It is implemented as a macro which works with the open source image processing program ImageJ. [...] Existing visualization tools show data as points, lines, and bars. ImagePlot's visualizations shows the actual images in your collection. The images can be scaled to any size and organized in any order - according to their dates, content, visual characteristics, etc. Because digital video is just a set of individual still images, you can also use ImagePlot to explore patterns in films, animations, video games, and any other moving image data."