{"id":250,"date":"2024-01-30T20:01:00","date_gmt":"2024-01-30T20:01:00","guid":{"rendered":"https:\/\/autographic.design\/?p=250"},"modified":"2024-04-30T20:14:37","modified_gmt":"2024-04-30T20:14:37","slug":"wasting-to-slow-time-the-materiality-of-informational-waste","status":"publish","type":"post","link":"https:\/\/autographic.design\/index.php\/2024\/01\/30\/wasting-to-slow-time-the-materiality-of-informational-waste\/","title":{"rendered":"Wasting to Slow Time &#8211; the Materiality of Informational Waste"},"content":{"rendered":"\n<p>This chapter examines the concept of informational waste by tracing its relationships with energy, value, and time. The concept of&nbsp;<em>data exhaust<\/em>&nbsp;is often used as a metaphor for datasets that have outlived their original role and are subsequently used for the secondary purposes of analytics and surveillance. In this chapter, the concept is taken literally by contrasting it with physical waste and focusing on its materialities and their implications. To understand the role of infotrash in the digital economy, this article examines how it paradoxically serves as a mode of value creation. Examples discussed include the&nbsp;<em>proof-of-work<\/em>&nbsp;blockchain, which creates computational friction to delay transactions, and informational clutter generated to maximise the time users spend on a page. In both cases, the bulk of the information involved is not generated for its semantic content but for its material effects.<\/p>\n\n\n\n<p>Offenhuber, Dietmar. forthcoming. \u201cWasting to Slow Time &#8211; the Materiality of Informational Waste.\u201d In\u00a0<em>Waste as a Critique<\/em>, edited by Herv\u00e9 Corvellec. Oxford University Press. <a href=\"https:\/\/autographic.design\/wp-content\/uploads\/2024\/04\/waste_v3.pdf\">Preprint<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.flickr.com\/photos\/swanksalot\/2704017177\">Image: Data Dump, photo by Seth Anderson<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This chapter examines the concept of informational waste by tracing its relationships with energy, value, and time. The concept of&nbsp;data exhaust&nbsp;is often used as a metaphor for datasets that have outlived their original role and are subsequently used for the secondary purposes of analytics and surveillance. In this chapter, the concept is taken literally by [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":253,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[17,18],"class_list":["post-250","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-chapter","tag-text"],"_links":{"self":[{"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/posts\/250","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/comments?post=250"}],"version-history":[{"count":0,"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/posts\/250\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/media\/253"}],"wp:attachment":[{"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/media?parent=250"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/categories?post=250"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/autographic.design\/index.php\/wp-json\/wp\/v2\/tags?post=250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}