{"id":91390,"date":"2020-10-17T12:00:35","date_gmt":"2020-10-17T09:00:35","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/"},"modified":"2020-10-17T12:00:35","modified_gmt":"2020-10-17T09:00:35","slug":"you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/","title":{"rendered":"#You influence recommendation algorithms just as much as they influence you \u2014 here\u2019s how"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a23b5305452c\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a23b5305452c\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/#What_we_see_is_tailored_for_us\" >What we see is tailored for us<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/#You_are_being_profiled\" >You are being profiled<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/#You_are_being_predicted\" >You are being predicted<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/buradabiliyorum.com\/en\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/#No_more_free_will_Not_quite\" >No more free will? Not quite<\/a><\/li><\/ul><\/nav><\/div>\n<p>&#8220;<strong>#You influence recommendation algorithms just as much as they influence you \u2014 here\u2019s how<\/strong>&#8221;<\/p>\n<div>\n                            Have you ever watched a video or movie because YouTube or Netflix recommended it to you? Or added a friend on <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/social-mediaa\/\" data-internallinksmanager029f6b8e52c=\"1\" title=\"Social Media\" target=\"_blank\" rel=\"noopener\">Facebook<\/a> from the list of \u201cpeople you may know\u201d?<\/p>\n<p>And how does Twitter decide which tweets to show you at the top of your feed?<\/p>\n<p>These platforms are driven by algorithms, which rank and recommend content for us based on our data.<\/p>\n<p>As Woodrow Hartzog, a professor of law and computer <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/sciencee\/\" data-internallinksmanager029f6b8e52c=\"5\" title=\"Science\" target=\"_blank\" rel=\"noopener\">science<\/a> at Northeastern University, Boston, <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.abc.net.au\/news\/science\/2018-04-30\/how-the-internet-tricks-you-out-of-privacy-deceptive-design\/9676708\">explains<\/a>:<\/p>\n<blockquote><p>If you want to know when social media companies are trying to manipulate you into disclosing information or engaging more, the answer is always.<\/p>\n<\/blockquote>\n<p>So if we are making decisions based on what\u2019s shown to us by these algorithms, what does that mean for our ability to make decisions freely?<\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_we_see_is_tailored_for_us\"><\/span>What we see is tailored for us<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>An algorithm is a digital recipe: a list of rules for achieving an outcome, using a set of ingredients. Usually, for tech companies, that outcome is to make money by convincing us to buy something or keeping us scrolling in order to show us more advertisements.<\/p>\n<p>The ingredients used are the data we provide through our actions online \u2013 knowingly or otherwise. Every time you like a post, watch a video, or buy something, you provide data that can be used to make predictions about your next move.<\/p>\n<p>These algorithms can influence us, even if we\u2019re not aware of it. As the New York Times\u2019 <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.nytimes.com\/2020\/04\/22\/podcasts\/rabbit-hole-prologue.html\">Rabbit Hole podcast<\/a> explores, YouTube\u2019s recommendation algorithms can drive viewers to <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.theguardian.com\/technology\/2018\/feb\/02\/how-youtubes-algorithm-distorts-truth\">increasingly extreme content<\/a>, potentially leading to online radicalization.<\/p>\n<p>Facebook\u2019s <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/news\/\" data-internallinksmanager029f6b8e52c=\"2\" title=\"News\" target=\"_blank\" rel=\"noopener\">News<\/a> Feed algorithm ranks content to keep us engaged on the platform. It can produce a phenomenon called \u201c<a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.pnas.org\/content\/111\/24\/8788\/tab-article-info\">emotional contagion<\/a>\u201d, in which seeing positive posts leads us to write positive posts ourselves, and seeing negative posts means we\u2019re more likely to craft negative posts \u2014 though this study was <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.pnas.org\/content\/111\/29\/10779.1\">controversial<\/a> partially because the effect sizes were small.<\/p>\n<p>Also, so-called \u201c<a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.abc.net.au\/news\/science\/2018-04-30\/how-the-internet-tricks-you-out-of-privacy-deceptive-design\/9676708\">dark patterns<\/a>\u201d are designed to trick us into sharing more, or <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/econsultancy.com\/three-dark-patterns-ux-big-brands-and-why-they-should-be-avoided\/\">spending more<\/a> on websites like Amazon. These are tricks of website design such as hiding the unsubscribe button, or showing how many people are buying the product you\u2019re looking at <em>right now<\/em>. They subconsciously nudge you towards actions the site would like you to take.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"You_are_being_profiled\"><\/span>You are being profiled<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Cambridge Analytica, the company involved in the largest known Facebook data leak to date, claimed to be able to <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.newyorker.com\/news\/news-desk\/cambridge-analytica-and-the-perils-of-psychographics\">profile your psychology<\/a> based on your \u201clikes\u201d. These profiles could then be used to target you with political advertising.<\/p>\n<p>\u201cCookies\u201d are small pieces of data which track us across websites. They are records of actions you\u2019ve taken online (such as links clicked and pages visited) that are stored in the browser. When they are combined with data from multiple sources including from large-scale hacks, this is known as \u201c<a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.abc.net.au\/news\/science\/2019-12-03\/data-enrichment-industry-privacy-breach-people-data-labs\/11751786\">data enrichment<\/a>\u201d. It can link our personal data like email addresses to other information such as our education level.<\/p>\n<p>These data are regularly used by tech companies like Amazon, Facebook, and others to build profiles of us and predict our future behavior.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"You_are_being_predicted\"><\/span>You are being predicted<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>So, how much of your behavior can be predicted by algorithms based on your data?<\/p>\n<p>Our research, <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.nature.com\/articles\/s41562-018-0510-5\">published in Nature Human Behavior last year<\/a>, explored this question by looking at how much information about you is contained in the posts your friends make on social media.<\/p>\n<p>Using data from Twitter, we estimated how predictable peoples\u2019 tweets were, using only the data from their friends. We found data from eight or nine friends was enough to be able to predict someone\u2019s tweets just as well as if we had <a href=\"https:\/\/buradabiliyorum.com\/en\/category\/download-scripts-themes-apps\/\" data-internallinksmanager029f6b8e52c=\"9\" title=\"Download Scripts &amp; Themes &amp; Apps\" target=\"_blank\" rel=\"noopener\">download<\/a>ed them directly (well over 50% accuracy, see graph below). Indeed, 95% of the potential predictive accuracy that a machine learning algorithm might achieve is obtainable <em>just<\/em> from friends\u2019 data.<\/p>\n<figure class=\"align-center \">\n<figure class=\"post-image post-mediaBleed aligncenter\"><img loading=\"lazy\" decoding=\"async\" sizes=\"auto, (min-width: 1466px) 754px, (max-width: 599px) 100vw, (min-width: 600px) 600px, 237px\" alt=\"\" width=\"600\" height=\"400\" class=\" lazy\" src=\"https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip\" data-lazy=\"true\" srcset=\"https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=1 600w, https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=30&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=2 1200w, https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=15&amp;auto=format&amp;w=600&amp;h=400&amp;fit=crop&amp;dpr=3 1800w, https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=1 754w, https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=30&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=2 1508w, https:\/\/images.theconversation.com\/files\/343234\/original\/file-20200622-54989-bo83l3.jpg?ixlib=rb-1.1.0&amp;q=15&amp;auto=format&amp;w=754&amp;h=503&amp;fit=crop&amp;dpr=3 2262w\"\/><figcaption><a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/thenextweb.com\/syndication\/2020\/10\/17\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/#\" data-url=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Fthenextweb.com%2Fsyndication%2F2020%2F10%2F17%2Fyou-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how%2F&amp;via=thenextweb&amp;related=thenextweb&amp;text=Check out this picture on: Average predictability from your circle of closest friends (blue line). A value of 50% means getting the next word right half of the time \u2014 no mean feat as most people have a vocabulary of around 5,000 words. The curve shows how much an AI algorithm can predict about you from your friends\u2019 data. Roughly 8-9 friends are enough to predict your future posts as accurately as if the algorithm had access to your own data (dashed line). Bagrow, Liu, &amp; Mitchell (2019)\" data-title=\"Share Average predictability from your circle of closest friends (blue line). A value of 50% means getting the next word right half of the time \u2014 no mean feat as most people have a vocabulary of around 5,000 words. The curve shows how much an AI algorithm can predict about you from your friends\u2019 data. Roughly 8-9 friends are enough to predict your future posts as accurately as if the algorithm had access to your own data (dashed line). Bagrow, Liu, &amp; Mitchell (2019) on Twitter\" data-width=\"685\" data-height=\"500\" class=\"post-image-share popitup\" title=\"Share Average predictability from your circle of closest friends (blue line). A value of 50% means getting the next word right half of the time \u2014 no mean feat as most people have a vocabulary of around 5,000 words. The curve shows how much an AI algorithm can predict about you from your friends\u2019 data. Roughly 8-9 friends are enough to predict your future posts as accurately as if the algorithm had access to your own data (dashed line). Bagrow, Liu, &amp; Mitchell (2019) on Twitter\"><i class=\"icon icon--inline icon--twitter--dark\"\/><\/a>Average predictability from your circle of closest friends (blue line). A value of 50% means getting the next word right half of the time \u2014 no mean feat as most people have a vocabulary of around 5,000 words. The curve shows how much an AI algorithm can predict about you from your friends\u2019 data. Roughly 8-9 friends are enough to predict your future posts as accurately as if the algorithm had access to your own data (dashed line). Bagrow, Liu, &amp; Mitchell (2019)<\/figcaption><\/figure>\n<\/p>\n<\/figure>\n<p>Our results mean that even if you #DeleteFacebook (which trended after the <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.sbs.com.au\/news\/deletefacebook-calls-grow-after-cambridge-analytica-data-scandal\">Cambridge Analytica scandal in 2018<\/a>), you may still be able to be profiled, due to the social ties that remain. And that\u2019s before we consider the things about Facebook that make it so <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/why-its-so-hard-to-deletefacebook-constant-psychological-boosts-keep-you-hooked-92976\">difficult to delete<\/a> anyway.<\/p>\n<p>We also found it\u2019s possible to build profiles of <em>non-users<\/em> \u2014 so-called \u201c<a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.nature.com\/articles\/s41562-018-0513-2\">shadow profiles<\/a>\u201d \u2014 based on their contacts who are on the platform. Even if you have never used Facebook, if your friends do, there is the possibility a shadow profile could be built of you.<\/p>\n<p>On social media platforms like Facebook and Twitter, privacy is no longer tied to the individual, but to the network as a whole.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"No_more_free_will_Not_quite\"><\/span>No more free will? Not quite<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>But all hope is not lost. If you do delete your account, the information contained in your social ties with friends grows stale over time. We found predictability gradually declines to a low level, so your privacy and anonymity will eventually return.<\/p>\n<p>While it may seem like algorithms are eroding our ability to think for ourselves, it\u2019s not necessarily the case. The evidence on the effectiveness of psychological profiling to influence voters <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.nytimes.com\/2017\/03\/06\/us\/politics\/cambridge-analytica.html\">is thin<\/a>.<\/p>\n<p>Most importantly, when it comes to the role of people versus algorithms in things like spreading (mis)information, people are just as important. On Facebook, the extent of your exposure to diverse points of view is more closely related <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/science.sciencemag.org\/content\/348\/6239\/1130\">to your social groupings<\/a> than to the way News Feed presents you with content. And on Twitter, while \u201cfake news\u201d may spread faster than facts, it is <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/science.sciencemag.org\/content\/359\/6380\/1146\">primarily people who spread it<\/a>, rather than bots.<\/p>\n<p>Of course, content creators exploit social media platforms\u2019 algorithms to promote content, on <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/dont-just-blame-youtubes-algorithms-for-radicalisation-humans-also-play-a-part-125494\">YouTube<\/a>, <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/dont-just-blame-echo-chambers-conspiracy-theorists-actively-seek-out-their-online-communities-127119\">Reddit<\/a> and other platforms, not just the other way round.<\/p>\n<p>At the end of the day, underneath all the algorithms are people. And we influence the algorithms just as much as they may influence us.<!-- Below is The Conversation's page counter tag. Please DO NOT REMOVE. --><img loading=\"lazy\" decoding=\"async\" style=\"border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important; text-shadow: none !important;\" alt=\"The Conversation\" width=\"1\" height=\"1\" class=\" lazy\" src=\"https:\/\/counter.theconversation.com\/content\/140729\/count.gif?distributor=republish-lightbox-basic\" data-lazy=\"true\"\/><!-- End of code. If you don't see any code above, please get new code from the Advanced tab after you click the republish button. The page counter does not collect any personal data. More info: https:\/\/theconversation.com\/republishing-guidelines --><\/p>\n<hr\/>\n<p><em>This article is republished from <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\">The Conversation<\/a>\u00a0by\u00a0<a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/profiles\/lewis-mitchell-266859\">Lewis Mitchell<\/a>, Senior Lecturer in Applied Mathematics and <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/profiles\/james-bagrow-1126210\">James Bagrow<\/a>, Associate Professor, Mathematics &amp; Statistics, <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/institutions\/university-of-vermont-903\">University of Vermont<\/a>\u00a0under a Creative Commons license. Read the <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/theconversation.com\/do-social-media-algorithms-erode-our-ability-to-make-decisions-freely-the-jury-is-out-140729\">original article<\/a>.<\/em><\/p>\n<\/p><\/div>\n<p><script async src=\"\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<blockquote>\n<p style=\"text-align: center;\">For forums sites go to <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/forum.buradabiliyorum.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Forum.BuradaBiliyorum.Com<\/a><\/span><\/strong>\n<\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/technology\/\" target=\"_blank\" rel=\"noopener noreferrer\">Technology category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/thenextweb.com\/syndication\/2020\/10\/17\/you-influence-recommendation-algorithms-just-as-much-as-they-influence-you-heres-how\/\" target=\"_blank\" rel=\"noopener noreferrer\">Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;#You influence recommendation algorithms just as much as they influence you \u2014 here\u2019s how&#8221; Have you ever watched a video or movie because YouTube or Netflix recommended it to you? Or added a friend on Facebook from the list of \u201cpeople you may know\u201d? And how does Twitter decide which tweets to show you at&#8230;<\/p>\n","protected":false},"author":1,"featured_media":91391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/img-cdn.tnwcdn.com\/image\/tnw?filter_last=1&fit=1280,640&url=https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2020\/10\/image-18.png&signature=cbc14c0b626b4cb8bb24dd06e7b31ca2","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[72074,75257,4974,1377,70759,10401,73504,49],"class_list":["post-91390","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-algorithm","tag-computer-science","tag-facebook","tag-netflix","tag-tech","tag-twitter","tag-web-content","tag-youtube"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/91390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=91390"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/91390\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/91391"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=91390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=91390"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=91390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}