{"id":8758,"date":"2020-08-05T11:26:07","date_gmt":"2020-08-05T18:26:07","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=8758"},"modified":"2021-04-06T11:26:49","modified_gmt":"2021-04-06T18:26:49","slug":"big-data-natural-language-processing-and-deep-learning-to-detect-and-characterize-illicit-covid-19-product-sales-an-infoveillance-study-on-twitter-and-instagram","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/08\/05\/big-data-natural-language-processing-and-deep-learning-to-detect-and-characterize-illicit-covid-19-product-sales-an-infoveillance-study-on-twitter-and-instagram\/","title":{"rendered":"Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: An\u00a0Infoveillance\u00a0Study on Twitter and Instagram"},"content":{"rendered":"<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"6\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Mackey et al. identified 1,271 tweets and 596 Instagram posts marketing fake COVID-19 health products, including unapproved, illegal, and counterfeit testing kits and treatments. Between February and May of 2020, they observed three distinct waves of advertisements for \u201cimmunity-boosting\u201d treatments, suspect testing kits, and pharmaceutical products that are not approved for COVID-19 treatment. Each wave followed news coverage about product research and development.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:120,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Mackey et al. (May 28, 2020). Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: An\u00a0<\/span><\/i><i><span data-contrast=\"none\">Infoveillance<\/span><\/i><i><span data-contrast=\"none\">\u00a0Study on Twitter and Instagram. JMIR Public Health and Surveillance.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.2196\/20794\"><span data-contrast=\"none\">https:\/\/doi.org\/10.2196\/20794<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:120,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mackey et al. identified 1,271 tweets and 596 Instagram posts marketing fake COVID-19 health products, including unapproved, illegal, and counterfeit testing kits and treatments. Between February and May of 2020, they observed three distinct waves of advertisements for \u201cimmunity-boosting\u201d treatments, suspect testing kits, and pharmaceutical products that are not approved for COVID-19 treatment. Each wave&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/08\/05\/big-data-natural-language-processing-and-deep-learning-to-detect-and-characterize-illicit-covid-19-product-sales-an-infoveillance-study-on-twitter-and-instagram\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[],"topic":[16],"class_list":["post-8758","post","type-post","status-publish","format-standard","hentry","category-article-summary","topic-public-health-policy-and-practice"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8758","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=8758"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8758\/revisions"}],"predecessor-version":[{"id":8759,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/8758\/revisions\/8759"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=8758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=8758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=8758"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=8758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}