{"id":4592,"date":"2020-11-06T12:04:16","date_gmt":"2020-11-06T17:04:16","guid":{"rendered":"https:\/\/commons.princeton.edu\/ant347-f20\/?p=4592"},"modified":"2020-11-06T12:04:16","modified_gmt":"2020-11-06T17:04:16","slug":"proxies","status":"publish","type":"post","link":"https:\/\/commons.princeton.edu\/ant347-f20\/proxies\/","title":{"rendered":"Proxies"},"content":{"rendered":"<p>The concept of proxies and their validity when attempting to study an immeasurable statistic was interesting to me.\u00a0 Data visualizations are meant to give the person consuming the information an objective, omniscient feeling.\u00a0 Proxies in their definition are subjective in that they are a correlation but rarely if ever provide a causation.\u00a0 The example provided in Ways of Knowing was the use of facial expressions for emotions.\u00a0 Facial expressions are supported to be useful tools for measuring this, but although this may be one of the most productive ways of measurement, I am not sold on it&#8217;s fruitfulness.\u00a0 How can one say that a proxy is accurate when the intended data is subjective?\u00a0 Emotion is a feeling unique to each person.\u00a0 One person&#8217;s maximum sadness or anger will be different from another persons.\u00a0 Also, their physical expressions will differ from others.\u00a0 Should there be parameters on what can and can&#8217;t be proxied?\u00a0 It seems that it is not up to the audience to decide this, as a data visualization assumes validity and accuracy to readers.\u00a0 Is it imperative that researchers be held ethically responsible for proxy use in data visualizations?<\/p>\n<p>In a way I feel that these questions are futile because proxies will always be used because they are often the most effective way of knowing.\u00a0 Perhaps the best course of action would be to treat proxies in the same way we do representation.\u00a0 A proxy is a reference and not a reality.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The concept of proxies and their validity when attempting to study an immeasurable statistic was interesting to me.\u00a0 Data visualizations are meant to give the person consuming the information an objective, omniscient feeling.\u00a0 Proxies in their definition are subjective in that they are a correlation but rarely if ever provide a causation.\u00a0 The example provided [&hellip;]<\/p>\n","protected":false},"author":2595,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-4592","post","type-post","status-publish","format-standard","hentry","category-post-production"],"_links":{"self":[{"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/posts\/4592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/users\/2595"}],"replies":[{"embeddable":true,"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/comments?post=4592"}],"version-history":[{"count":1,"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/posts\/4592\/revisions"}],"predecessor-version":[{"id":4593,"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/posts\/4592\/revisions\/4593"}],"wp:attachment":[{"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/media?parent=4592"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/categories?post=4592"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/commons.princeton.edu\/ant347-f20\/wp-json\/wp\/v2\/tags?post=4592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}