{"id":712,"date":"2017-10-09T10:53:05","date_gmt":"2017-10-09T17:53:05","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f17\/?p=712"},"modified":"2017-10-09T10:53:05","modified_gmt":"2017-10-09T17:53:05","slug":"reverse-engineering-robots-reading-vogue-4","status":"publish","type":"post","link":"http:\/\/miriamposner.com\/classes\/dh101f17\/2017\/10\/09\/reverse-engineering-robots-reading-vogue-4\/","title":{"rendered":"Reverse Engineering Robots Reading Vogue"},"content":{"rendered":"

“Robots Reading Vogue”<\/a> is a digital humanities project marking the meeting point of data mining and fashion trends through the fashion magazine Vogue. The Vogue Archives precisely files over one hundred years of the popular fashion magazine that is recognizable to people of all ages. The digitally recorded 2,700 covers and 400,000 pages allowed for an unending flow of research possibilities. Yale students took to analyzing these pages of advertisements, visuals, topics and many other details to create the various projects featured on the interactive web page. Their digital humanities projects give us a better understanding of gender studies, social history, consumer trends, digital research and more.<\/p>\n

Source:<\/strong><\/p>\n

Peter Leonard and Lindsay King headed the “Robots Reading Vogue” project where students dug through the main source: The Vogue Archive, created by ProQuest filled with over a century’s worth of digitally marked up Vogue magazines. The archives cover every print since 1892, allowing for the perfect primary source for the students’ academic study.<\/p>\n

Processing:<\/strong><\/p>\n

\"\"<\/a>
Vogue Covers in Colormetric Space<\/figcaption><\/figure>\n

Students process the Vogue Archives by mining through the years of magazines and finding specific information related to their topic. Each of these various topics required a different method of searching for relevant information. Some of these projects required searching through pictures for their information.<\/p>\n

For example, “Vogue Covers in Colormetric Space” required plotting the magazine covers into the digital tool ImagePlot and analyzing the hues, saturations and color contrasts of these images. If certain covers were not present, they may also have needed to scan the images onto a computer. From these covers, the students searched for trends and connections between covers and the year published.<\/p>\n

“Diana Vreeland Memo Generator” is another project that uses the process of searching for the 200 memos by Diana Vreeland, a former Editor-in-Chief of Vogue. To find these memos, students found the relevant memos and organized the information into a database. Because the final presentation would generate random new memos, these archived memos were typed into a Markov chain model to find the statistics on possible strings of words that Diana Vreeland might write in her memos.<\/p>\n

Presentation:<\/strong><\/p>\n

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Topic: Modeling Vogue<\/figcaption><\/figure>\n

After the data is compiled, students presented their findings in many forms. “Topic Modeling Vogue”, for example, presented the findings of word distribution into word clouds allowing the reader to quickly understand the topic being presented and its relevance to words surrounding it. The project “Averaging Covers in Vogue” gave an example of a project that did not focus on just text. Instead, the covers and findings were represented through digital image overlays that presented findings for the readers to visualize. These various projects add up to the final “Robots Reading Vogue” database that is web-accessible and interactive for students and researchers like us to use.<\/p>\n","protected":false},"excerpt":{"rendered":"

“Robots Reading Vogue” is a digital humanities project marking the meeting point of data mining and fashion trends through the<\/p>\n","protected":false},"author":130,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-712","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts\/712","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/users\/130"}],"replies":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/comments?post=712"}],"version-history":[{"count":0,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts\/712\/revisions"}],"wp:attachment":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/media?parent=712"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/categories?post=712"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/tags?post=712"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}