{"id":475834,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:22","modified_gmt":"2023-09-05T11:11:22","slug":"alert-fatigue","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/alert-fatigue\/","title":{"rendered":"Uyar\u0131 yorgunlu\u011fu"},"content":{"rendered":"<p>Uyar\u0131 yorgunlu\u011fu, bireylerin uyar\u0131lara, uyar\u0131lara veya bildirimlere kar\u015f\u0131 a\u015f\u0131r\u0131 s\u0131kl\u0131klar\u0131 ve anlaml\u0131 ayr\u0131m eksikli\u011fi nedeniyle duyars\u0131zla\u015ft\u0131\u011f\u0131nda veya bunlara kar\u015f\u0131 kay\u0131ts\u0131z kald\u0131\u011f\u0131nda ortaya \u00e7\u0131kan bili\u015fsel bir olgudur. Bu kavram \u00f6zellikle kullan\u0131c\u0131lar\u0131n \u00e7ok say\u0131da uyar\u0131 bombard\u0131man\u0131na maruz kald\u0131\u011f\u0131, kritik olaylar\u0131 \u00f6nceliklendirmeyi ve bunlara etkili bir \u015fekilde yan\u0131t vermeyi zorla\u015ft\u0131ran izleme sistemleri ba\u011flam\u0131nda ge\u00e7erlidir.<\/p>\n<h2>Uyar\u0131 yorgunlu\u011funun k\u00f6keninin tarihi ve bundan ilk s\u00f6z.<\/h2>\n<p>Uyar\u0131 yorgunlu\u011fu kavram\u0131 sa\u011fl\u0131k sekt\u00f6r\u00fcnde 20. y\u00fczy\u0131l\u0131n sonlar\u0131nda ortaya \u00e7\u0131kt\u0131. T\u0131bbi cihazlar\u0131n ve elektronik sa\u011fl\u0131k kay\u0131t sistemlerinin kullan\u0131m\u0131n\u0131n artmas\u0131, \u00e7o\u011fu acil olmayan veya yanl\u0131\u015f alarm olan bildirimlerde \u00f6nemli bir art\u0131\u015fa yol a\u00e7t\u0131. Bu uyar\u0131 ya\u011fmuru, kritik durumlara h\u0131zl\u0131 tepki verme ihtiyac\u0131yla birle\u015fti\u011finde t\u0131p pratisyenleri aras\u0131nda &quot;uyar\u0131 yorgunlu\u011fu&quot; teriminin ortaya \u00e7\u0131kmas\u0131na neden oldu.<\/p>\n<h2>Uyar\u0131 yorgunlu\u011fu hakk\u0131nda detayl\u0131 bilgi. Uyar\u0131 yorgunlu\u011fu konusunu geni\u015fletiyoruz.<\/h2>\n<p>Uyar\u0131 yorgunlu\u011fu sa\u011fl\u0131k sekt\u00f6r\u00fcyle s\u0131n\u0131rl\u0131 de\u011fil; siber g\u00fcvenlik, a\u011f izleme ve yaz\u0131l\u0131m geli\u015ftirme gibi \u00e7e\u015fitli alanlar\u0131 etkiler. Bu alanlarda profesyoneller anormallikleri, g\u00fcvenlik ihlallerini ve hatalar\u0131 tespit etmek i\u00e7in izleme sistemlerine g\u00fcveniyor. Ancak bu sistemler a\u015f\u0131r\u0131 say\u0131da uyar\u0131 \u00fcretti\u011finde, operat\u00f6rlerin kritik olaylar ile zarars\u0131z bildirimler aras\u0131nda ayr\u0131m yapmas\u0131 zorla\u015f\u0131r. Sonu\u00e7 olarak, hayati \u00f6nem ta\u015f\u0131yan uyar\u0131lar\u0131n g\u00f6zden ka\u00e7\u0131r\u0131lma riski artar, bu da potansiyel hizmet kesintilerine, g\u00fcvenlik ihlallerine veya hasta g\u00fcvenli\u011finin tehlikeye at\u0131lmas\u0131na yol a\u00e7ar.<\/p>\n<h2>Uyar\u0131 yorgunlu\u011funun i\u00e7 yap\u0131s\u0131. Uyar\u0131 yorgunlu\u011fu nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/h2>\n<p>Uyar\u0131 yorgunlu\u011fu \u00f6ncelikle insan beyninin b\u00fcy\u00fck miktarda bilgiyi i\u015fleme ve saklama konusundaki do\u011fas\u0131nda olan s\u0131n\u0131rlamalar\u0131ndan kaynaklanmaktad\u0131r. S\u00fcrekli bir uyar\u0131 ak\u0131\u015f\u0131na maruz kalan bireyler bili\u015fsel a\u015f\u0131r\u0131 y\u00fck ya\u015fayabilir, bu da dikkat s\u00fcrelerinin azalmas\u0131na ve karar verme yeteneklerinin bozulmas\u0131na yol a\u00e7abilir. Bu a\u015f\u0131r\u0131 y\u00fck birka\u00e7 fakt\u00f6re ba\u011flanabilir:<\/p>\n<ol>\n<li>\n<p><strong>A\u015f\u0131r\u0131 Uyar\u0131<\/strong>: \u0130zleme sistemleri, her k\u00fc\u00e7\u00fck sapma i\u00e7in uyar\u0131 tetikleyecek \u015fekilde yap\u0131land\u0131r\u0131labilir, bu da operat\u00f6rlerin a\u015f\u0131r\u0131 say\u0131da bildirime maruz kalmas\u0131na neden olabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Uyar\u0131 \u00c7o\u011falt\u0131lmas\u0131<\/strong>: Ayn\u0131 uyar\u0131 birden fazla sistem veya kanalda kopyalanarak bilgi fazlal\u0131\u011f\u0131na katk\u0131da bulunabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Belirsiz Uyar\u0131 Dili<\/strong>: K\u00f6t\u00fc yaz\u0131lm\u0131\u015f veya belirsiz uyar\u0131 mesajlar\u0131 kafa kar\u0131\u015f\u0131kl\u0131\u011f\u0131na yol a\u00e7abilir ve etkili yan\u0131tlar\u0131 engelleyebilir.<\/p>\n<\/li>\n<\/ol>\n<h2>Uyar\u0131 yorgunlu\u011funun temel \u00f6zelliklerinin analizi.<\/h2>\n<p>Uyar\u0131 yorgunlu\u011funun temel \u00f6zellikleri \u015funlard\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>Duyars\u0131zla\u015ft\u0131rma<\/strong>: Zaman i\u00e7inde, s\u0131k s\u0131k uyar\u0131lara maruz kalan ki\u015filer, kritik olsa bile yeni bildirimlere daha az yan\u0131t verebilir hale gelebilir.<\/p>\n<\/li>\n<li>\n<p><strong>Ka\u00e7\u0131r\u0131lan Alarmlar<\/strong>: Uyar\u0131lar\u0131n \u00e7oklu\u011fu nedeniyle, \u00f6nemli uyar\u0131lar fark edilmeyebilir, bu da yan\u0131tlar\u0131n gecikmesine ve risklerin artmas\u0131na neden olabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Azalt\u0131lm\u0131\u015f Do\u011fruluk<\/strong>: Yorgun olduklar\u0131nda bireylerin uyar\u0131 ciddiyetini de\u011ferlendirmede hata yapma olas\u0131l\u0131\u011f\u0131 daha y\u00fcksektir ve bu da uygunsuz \u00f6nceliklendirmeye yol a\u00e7ar.<\/p>\n<\/li>\n<\/ol>\n<h2>Uyar\u0131 Yorgunlu\u011fu T\u00fcrleri<\/h2>\n<p>Meydana geldi\u011fi alana ba\u011fl\u0131 olarak \u00e7e\u015fitli uyar\u0131 yorgunlu\u011fu t\u00fcrleri vard\u0131r:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u0130htisas<\/th>\n<th>Uyar\u0131 Yorgunlu\u011fu T\u00fcrleri<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Sa\u011fl\u0131k hizmeti<\/td>\n<td>Klinik ortamlarda Alarm Yorgunlu\u011fu<\/td>\n<\/tr>\n<tr>\n<td>Siber g\u00fcvenlik<\/td>\n<td>Siber g\u00fcvenlik operasyonlar\u0131nda G\u00fcvenlik Uyar\u0131s\u0131 Yorgunlu\u011fu<\/td>\n<\/tr>\n<tr>\n<td>A\u011f izleme<\/td>\n<td>BT altyap\u0131s\u0131 izlemede A\u011f Uyar\u0131s\u0131 Yorgunlu\u011fu<\/td>\n<\/tr>\n<tr>\n<td>Yaz\u0131l\u0131m geli\u015ftirme<\/td>\n<td>Yaz\u0131l\u0131m hata ay\u0131klama ve hata izlemede Uyar\u0131 Yorgunlu\u011fu<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Alert&#039;i kullanma yollar\u0131, kullan\u0131mla ilgili sorunlar ve \u00e7\u00f6z\u00fcmleri.<\/h2>\n<h3>Uyar\u0131 yorgunlu\u011funu kullanma yollar\u0131:<\/h3>\n<ol>\n<li>\n<p><strong>Otomatik Uyar\u0131 Bast\u0131rma<\/strong>: Uyar\u0131 verilerindeki kal\u0131plar\u0131 tan\u0131mlayan ve kritik olmayan veya gereksiz uyar\u0131lar\u0131 bast\u0131ran algoritmalar kullan\u0131n.<\/p>\n<\/li>\n<li>\n<p><strong>Ak\u0131ll\u0131 Uyar\u0131 Y\u00f6nlendirme<\/strong>: Uyar\u0131lar\u0131 en uygun personele y\u00f6nlendiren ak\u0131ll\u0131 y\u00f6nlendirme mekanizmalar\u0131n\u0131 uygulayarak gereksiz bildirimleri azalt\u0131n.<\/p>\n<\/li>\n<li>\n<p><strong>Eskalasyon Politikalar\u0131<\/strong>: Adreslenmemi\u015f kritik uyar\u0131lar\u0131n daha \u00fcst d\u00fczey yetkililere iletilmesini sa\u011flamak i\u00e7in y\u00fckseltme prosed\u00fcrlerini olu\u015fturun.<\/p>\n<\/li>\n<\/ol>\n<h3>Sorunlar ve \u00c7\u00f6z\u00fcmler:<\/h3>\n<ol>\n<li>\n<p><strong>Yanl\u0131\u015f Pozitifler<\/strong>: Uyar\u0131 e\u015fiklerini iyile\u015ftirerek ve uyar\u0131 olu\u015fturma s\u00fcrecine ek ba\u011flam ekleyerek yanl\u0131\u015f uyar\u0131lar\u0131 azalt\u0131n.<\/p>\n<\/li>\n<li>\n<p><strong>Uyar\u0131 Kategorizasyonu<\/strong>: Operat\u00f6rlerin \u00e7e\u015fitli uyar\u0131 t\u00fcrleri aras\u0131nda ayr\u0131m yapmas\u0131na ve yan\u0131tlar\u0131 buna g\u00f6re \u00f6nceliklendirmesine yard\u0131mc\u0131 olmak i\u00e7in sa\u011flam bir s\u0131n\u0131fland\u0131rma sistemi uygulay\u0131n.<\/p>\n<\/li>\n<li>\n<p><strong>D\u00fczenli \u0130nceleme ve Optimizasyon<\/strong>: Eski veya etkisiz uyar\u0131lar\u0131 ortadan kald\u0131rmak ve sistem performans\u0131n\u0131 optimize etmek i\u00e7in uyar\u0131 yap\u0131land\u0131rmalar\u0131n\u0131 d\u00fczenli olarak g\u00f6zden ge\u00e7irin.<\/p>\n<\/li>\n<\/ol>\n<h2>Ana \u00f6zellikler ve benzer terimlerle di\u011fer kar\u015f\u0131la\u015ft\u0131rmalar tablo ve liste \u015feklinde.<\/h2>\n<h3>Uyar\u0131 Yorgunlu\u011funun Ana \u00d6zellikleri:<\/h3>\n<ul>\n<li>A\u015f\u0131r\u0131 uyar\u0131lara uzun s\u00fcre maruz kalma nedeniyle kademeli ba\u015flang\u0131\u00e7.<\/li>\n<li>Kritik olaylara kar\u015f\u0131 duyarl\u0131l\u0131\u011f\u0131n azalmas\u0131yla ili\u015fkilidir.<\/li>\n<li>Y\u00fcksek stresli ve kritik izleme ortamlar\u0131nda yayg\u0131nd\u0131r.<\/li>\n<\/ul>\n<h3>Benzer Terimlerle Kar\u015f\u0131la\u015ft\u0131rma:<\/h3>\n<table>\n<thead>\n<tr>\n<th>Terim<\/th>\n<th>Tan\u0131m<\/th>\n<th>Uyar\u0131 Yorgunlu\u011fundan Fark\u0131<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Bilgi bombard\u0131man\u0131<\/td>\n<td>Karar vermeyi engelleyen a\u015f\u0131r\u0131 bilgi.<\/td>\n<td>Uyar\u0131 yorgunlu\u011fu \u00f6zellikle uyar\u0131lara odaklan\u0131rken, \u00e7e\u015fitli t\u00fcrdeki yo\u011fun verileri kapsar.<\/td>\n<\/tr>\n<tr>\n<td>Karar Yorgunlu\u011fu<\/td>\n<td>Uzun s\u00fcren se\u00e7imlerden sonra kararlar\u0131n kalitesinin d\u00fc\u015fmesi.<\/td>\n<td>Genel olarak karar vermeyle ilgilidir; uyar\u0131 yorgunlu\u011fu ise uyar\u0131lara verilen yan\u0131tla ilgilidir.<\/td>\n<\/tr>\n<tr>\n<td>Duyusal A\u015f\u0131r\u0131 Y\u00fck<\/td>\n<td>Duyular\u0131n a\u015f\u0131r\u0131 uyar\u0131lmas\u0131, bunalmaya yol a\u00e7ar.<\/td>\n<td>Duyusal deneyimlere at\u0131fta bulunurken, uyar\u0131 yorgunlu\u011fu uyar\u0131lardan kaynaklanan bili\u015fsel t\u00fckenmeye odaklan\u0131r.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Uyar\u0131 yorgunlu\u011fuyla ilgili gelece\u011fin perspektifleri ve teknolojileri.<\/h2>\n<p>Uyar\u0131 yorgunlu\u011funu azaltman\u0131n gelece\u011fi, ileri teknolojilerin geli\u015ftirilmesinde ve entegrasyonunda yatmaktad\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>Yapay Zeka (AI)<\/strong>: Potansiyel uyar\u0131 yorulma senaryolar\u0131n\u0131 tahmin etmek, uyar\u0131 ayarlar\u0131n\u0131 otomatik olarak optimize etmek ve uyar\u0131 da\u011f\u0131t\u0131m\u0131n\u0131 kullan\u0131c\u0131 tercihlerine g\u00f6re ki\u015fiselle\u015ftirmek i\u00e7in yapay zeka algoritmalar\u0131ndan yararlan\u0131labilir.<\/p>\n<\/li>\n<li>\n<p><strong>Makine \u00d6\u011frenimi (ML)<\/strong>: ML modelleri ge\u00e7mi\u015f uyar\u0131 verilerini analiz edebilir, kullan\u0131c\u0131 yan\u0131tlar\u0131ndan \u00f6\u011frenebilir ve hatal\u0131 pozitifleri azaltmak ve kritik uyar\u0131lar\u0131 \u00f6nceliklendirecek \u015fekilde uyar\u0131 sistemlerini uyarlayabilir.<\/p>\n<\/li>\n<li>\n<p><strong>Do\u011fal Dil \u0130\u015fleme (NLP)<\/strong>: NLP, uyar\u0131 mesajlar\u0131n\u0131n netli\u011fini art\u0131rabilir, belirsizli\u011fi azaltabilir ve operat\u00f6rlerin uyar\u0131lar\u0131 anlamas\u0131n\u0131 geli\u015ftirebilir.<\/p>\n<\/li>\n<\/ol>\n<h2>Proxy sunucular\u0131 nas\u0131l kullan\u0131labilir veya Uyar\u0131 yorgunlu\u011fuyla nas\u0131l ili\u015fkilendirilebilir?<\/h2>\n<p>Proxy sunucular\u0131, \u00f6zellikle a\u011f izleme ve siber g\u00fcvenlik ba\u011flamlar\u0131nda, uyar\u0131 yorgunlu\u011funun y\u00f6netilmesinde \u00f6nemli bir rol oynayabilir:<\/p>\n<ol>\n<li>\n<p><strong>Trafik Filtreleme<\/strong>: Proxy sunucular\u0131, izleme sistemlerine ula\u015fmadan \u00f6nce a\u011f trafi\u011fini filtreleyebilir, b\u00f6ylece zarars\u0131z veya alakas\u0131z trafik taraf\u0131ndan tetiklenen uyar\u0131lar\u0131n say\u0131s\u0131 azalt\u0131labilir.<\/p>\n<\/li>\n<li>\n<p><strong>Y\u00fck dengeleme<\/strong>: Proxy sunucular, gelen istekleri birden \u00e7ok sunucuya da\u011f\u0131tarak tek bir izleme sisteminin a\u015f\u0131r\u0131 uyar\u0131larla bunalt\u0131lmas\u0131n\u0131 \u00f6nleyebilir.<\/p>\n<\/li>\n<li>\n<p><strong>\u00d6nbellek Mekanizmalar\u0131<\/strong>: S\u0131k eri\u015filen kaynaklar\u0131n proxy sunucularda \u00f6nbelle\u011fe al\u0131nmas\u0131, tekrarlanan istekler i\u00e7in olu\u015fturulan gereksiz uyar\u0131lar\u0131n say\u0131s\u0131n\u0131 azaltabilir.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>Uyar\u0131 yorgunlu\u011fu hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 incelemeyi d\u00fc\u015f\u00fcn\u00fcn:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.healthit.gov\/buzz-blog\/electronic-health-and-medical-records\/reducing-alert-fatigue\/\" target=\"_new\" rel=\"noopener nofollow\">Sa\u011fl\u0131k BT V\u0131z\u0131lt\u0131lar\u0131: Uyar\u0131 Yorgunlu\u011funu Azaltma<\/a><\/li>\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8485792\" target=\"_new\" rel=\"noopener nofollow\">IEEE Xplore: Siber G\u00fcvenlikte Uyar\u0131 Yorgunlu\u011fu<\/a><\/li>\n<li><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3714436\/\" target=\"_new\" rel=\"noopener nofollow\">NCBI: Alarm Yorgunlu\u011fu: Sistematik Bir \u0130nceleme<\/a><\/li>\n<li><a href=\"https:\/\/www.datadoghq.com\/blog\/monitoring-and-alerting-best-practices\/\" target=\"_new\" rel=\"noopener nofollow\">En \u0130yi Uygulamalar\u0131n \u0130zlenmesi ve Uyar\u0131lmas\u0131<\/a><\/li>\n<li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2493977.2493986\" target=\"_new\" rel=\"noopener nofollow\">ACM Dijital K\u00fct\u00fcphanesi: \u0130nsan Fakt\u00f6rleri ve Uyar\u0131 Yorgunlu\u011fu<\/a><\/li>\n<\/ul>","protected":false},"featured_media":475569,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475834","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Alert Fatigue: An Exhaustive Analysis<\/mark>","faq_items":[{"question":"What is alert fatigue?","answer":"<p>Alert fatigue is a cognitive phenomenon that occurs when individuals become desensitized or indifferent to alerts, warnings, or notifications due to their overwhelming frequency and lack of meaningful distinction. It affects various domains, including healthcare, cybersecurity, network monitoring, and software development.<\/p>"},{"question":"How did the concept of alert fatigue originate?","answer":"<p>The concept of alert fatigue originated in the healthcare industry during the late 20th century. The increased use of medical devices and electronic health record systems led to a substantial rise in notifications, many of which were non-urgent or false alarms. This inundation of alerts gave rise to the term \"alert fatigue\" among medical practitioners.<\/p>"},{"question":"What are the key features of alert fatigue?","answer":"<p>Key features of alert fatigue include desensitization, missed alarms, and reduced accuracy. Over time, individuals exposed to frequent alerts may become less responsive to new notifications, important warnings may go unnoticed, and individuals are more likely to make errors in assessing alert severity.<\/p>"},{"question":"What are the different types of alert fatigue?","answer":"<p>Alert fatigue can manifest in various domains. Some of the different types include:<\/p><ul><li>Alarm Fatigue in clinical settings in healthcare.<\/li><li>Security Alert Fatigue in cybersecurity operations.<\/li><li>Network Alert Fatigue in IT infrastructure monitoring.<\/li><li>Alert Fatigue in software debugging and error monitoring.<\/li><\/ul>"},{"question":"How can alert fatigue be addressed and managed?","answer":"<p>To address alert fatigue, proactive solutions can be employed, such as automated alert suppression, smart alert routing, and establishment of escalation policies. Problems like false positives and alert categorization can be mitigated through refining alert thresholds, implementing a robust categorization system, and regular review and optimization of alert configurations.<\/p>"},{"question":"What are the future perspectives and technologies related to alert fatigue?","answer":"<p>The future of alert fatigue mitigation lies in the integration of advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). These technologies can predict potential alert fatigue scenarios, optimize alert settings, and enhance the clarity of alert messages.<\/p>"},{"question":"How can proxy servers help with alert fatigue?","answer":"<p>Proxy servers can play a significant role in managing alert fatigue, especially in network monitoring and cybersecurity. They can filter network traffic, distribute incoming requests, and use caching mechanisms to reduce the number of alerts triggered by benign or irrelevant data.<\/p>"},{"question":"Where can I find more information about alert fatigue?","answer":"<p>For more information about alert fatigue and related topics, you can explore the following resources:<\/p><ul><li><a href=\"https:\/\/www.healthit.gov\/buzz-blog\/electronic-health-and-medical-records\/reducing-alert-fatigue\/\" target=\"_new\">Health IT Buzz: Reducing Alert Fatigue<\/a><\/li><li><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8485792\" target=\"_new\">IEEE Xplore: Alert Fatigue in Cybersecurity<\/a><\/li><li><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3714436\/\" target=\"_new\">NCBI: Alarm Fatigue: A Systematic Review<\/a><\/li><li><a href=\"https:\/\/www.datadoghq.com\/blog\/monitoring-and-alerting-best-practices\/\" target=\"_new\">Monitoring and Alerting Best Practices<\/a><\/li><li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2493977.2493986\" target=\"_new\">ACM Digital Library: Human Factors and Alert Fatigue<\/a><\/li><\/ul>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/475834","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/475834\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/475569"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=475834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}