{"id":163,"date":"2015-02-01T14:26:51","date_gmt":"2015-02-01T19:26:51","guid":{"rendered":"http:\/\/courses.digitaldavidson.net\/dig210\/?p=163"},"modified":"2015-02-01T14:32:38","modified_gmt":"2015-02-01T19:32:38","slug":"the-atlantic-the-cloud-and-other-dangerous-metaphors","status":"publish","type":"post","link":"https:\/\/courses.digitaldavidson.net\/dig210\/2015\/02\/01\/the-atlantic-the-cloud-and-other-dangerous-metaphors\/","title":{"rendered":"The Atlantic &#8211; &#8216;The Cloud&#8217; and Other Dangerous Metaphors"},"content":{"rendered":"<p>Interesting read <a href=\"http:\/\/m.theatlantic.com\/technology\/archive\/2015\/01\/the-cloud-and-other-dangerous-metaphors\/384518\/\">from The Atlantic:<\/a><\/p>\n<blockquote><p>Underlying the discussion has been a tangle of big, thorny questions: What policies should govern the use of online data collection, use, and manipulation by companies? Do massive online platforms like Google and Facebook, who now hold unprecedented quantities of sensitive behavioral data about people and groups, have the right to research and experiment on their users? And, if so, how and to what extent should they be permitted to do so?<\/p>\n<p>&#8230;<\/p>\n<p dir=\"ltr\">Data escapes attempts to fit it neatly into a single conceptual box. Consider three phrases\u2014now so commonplace as to be unremarkable\u2014that we use to talk about data:<\/p>\n<ul>\n<li>\u201c<strong>Data Stream<\/strong>,\u201d which refers to the delivery of many chunks of data over time;<\/li>\n<li>\u201c<strong>Data Mining<\/strong>,\u201d which refers to what we do to get insightful information from data; and<\/li>\n<li>\u201c<strong>The Cloud<\/strong>,\u201d which refers to a place where we store data.<\/li>\n<\/ul>\n<p dir=\"ltr\">These tropes are notable because they use distinct, physical metaphors to try to make sense of data within a specific context. What\u2019s more, all three impute radically different physical properties to data. Depending on the situation, data is either like a liquid (data streams), a solid (data mining), or a gas (the cloud). Why and how these metaphors get used when they do is not immediately obvious. There are tons of alternatives: Data could be stored in a \u201cdata mountain,\u201d or data could be made useful through a process of \u201cdata desalination.\u201d<\/p>\n<p dir=\"ltr\">&#8230;<\/p>\n<p dir=\"ltr\">And in all our talk about streams and exhaust and mines and clouds, one thing is striking: People\u00a0are nowhere to be found. These metaphors overwhelmingly draw from the natural world and the processes we use to draw resources from it; because of this, they naturalize and depersonalize data and its collection. Our current data metaphors do us a disservice by masking the human behaviors, relationships, and communications that make up all that data we\u2019re streaming and mining. They make it easy to get lost in the quantity of the data without remembering how personal so much of it is. And if people forget that, it\u2019s easy to understand how large-scale ethical breaches happen; the metaphors help us to lose track of what we\u2019re really talking about.<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Interesting read from The Atlantic: Underlying the discussion has been a tangle of big, thorny questions: What policies should govern the use of online data collection, use, and manipulation by companies? Do massive online platforms like Google and Facebook, who now hold unprecedented quantities of sensitive behavioral data about people and groups, have the right &hellip; <a href=\"https:\/\/courses.digitaldavidson.net\/dig210\/2015\/02\/01\/the-atlantic-the-cloud-and-other-dangerous-metaphors\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">The Atlantic &#8211; &#8216;The Cloud&#8217; and Other Dangerous Metaphors<\/span><\/a><\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"link","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-163","post","type-post","status-publish","format-link","hentry","category-uncategorized","post_format-post-format-link"],"_links":{"self":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts\/163","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/comments?post=163"}],"version-history":[{"count":4,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts\/163\/revisions"}],"predecessor-version":[{"id":167,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts\/163\/revisions\/167"}],"wp:attachment":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/media?parent=163"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/categories?post=163"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/tags?post=163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}