{"id":88391,"date":"2019-03-05T10:23:46","date_gmt":"2019-03-05T18:23:46","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2019\/03\/journalists-reported-a-news-story-using-machine-learning"},"modified":"2019-03-05T10:23:46","modified_gmt":"2019-03-05T18:23:46","slug":"journalists-reported-a-news-story-using-machine-learning","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2019\/03\/journalists-reported-a-news-story-using-machine-learning","title":{"rendered":"Journalists Reported a News Story Using Machine Learning"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/journalists-reported-a-news-story-using-machine-learning2.jpg\"><\/a><\/p>\n<p><em>Quartz\u2019s<\/em> Lyft story isn\u2019t the most groundbreaking work of journalism in the world, but it\u2019s an interesting proof of concept about how reporters can leverage new tools to pull interesting takeaways from otherwise dry public records \u2014 and, perhaps, a preview of things to come.<\/p>\n<p>\u201cThis is taking [data journalism] to the next level where we\u2019re trying to get journalists comfortable using computers to do some of this pattern matching, sorting, grouping, anomaly detection \u2014 really working with especially large data sets,\u201d John Keefe, <em>Quartz\u2019s<\/em> technical architect for bots and machine learning, <a href=\"https:\/\/digiday.com\/media\/quartz-forms-quartz-ai-studio\/\">told <em>Digiday<\/em><\/a><em> <\/em>back when the Quartz AI Studio first launched.<\/p>\n<p><strong>READ MORE:<\/strong> <a href=\"https:\/\/qz.com\/1563668\/lyfts-ipo-filing-highlights-risk-factors-other-companies-dont-mention\/\">Here\u2019s what Lyft talks about as risk factors that other companies don\u2019t<\/a> [<em>Quartz<\/em>].<\/p>\n<p><!-- Link: <a href=\"https:\/\/futurism.com\/the-byte\/quartz-machine-learning-report-story\">https:\/\/futurism.com\/the-byte\/quartz-machine-learning-report-story<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Quartz\u2019s Lyft story isn\u2019t the most groundbreaking work of journalism in the world, but it\u2019s an interesting proof of concept about how reporters can leverage new tools to pull interesting takeaways from otherwise dry public records \u2014 and, perhaps, a preview of things to come. \u201cThis is taking [data journalism] to the next level where [\u2026]<\/p>\n","protected":false},"author":513,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1491],"tags":[],"class_list":["post-88391","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/88391","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/513"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=88391"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/88391\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=88391"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=88391"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=88391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}