{"id":24,"date":"2024-10-28T20:07:00","date_gmt":"2024-10-28T20:07:00","guid":{"rendered":"https:\/\/classprojects.digitalwcu.org\/DTT\/?page_id=24"},"modified":"2024-11-12T06:36:49","modified_gmt":"2024-11-12T06:36:49","slug":"methods","status":"publish","type":"page","link":"https:\/\/classprojects.digitalwcu.org\/DTT\/methods\/","title":{"rendered":"Methods"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>An Epidemiology of Information<\/em> uses multiple different methods to look at the historical texts, including Tone Analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tone Analysis helps recognize the emotional tone in texts. The project used this to understand how the emotional tone of influenza coverage changed and shifted over time in different places. Researchers applied a classifier tool to detect tones like &#8220;alarmist,&#8221; &#8220;reassuring,&#8221; and &#8220;warning&#8221; in newspaper articles. By analyzing how these tones shift over time and across different regions, the project aims to uncover patterns in how the public and media responses evolved during the epidemic. This analysis offers an efficient way into the relationship between tone and the progression of the pandemic.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"624\" height=\"688\" src=\"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-content\/uploads\/2024\/11\/Screenshot-2024-11-12-at-1.36.02\u202fAM.png\" alt=\"\" class=\"wp-image-167\" style=\"width:421px;height:auto\" srcset=\"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-content\/uploads\/2024\/11\/Screenshot-2024-11-12-at-1.36.02\u202fAM.png 624w, https:\/\/classprojects.digitalwcu.org\/DTT\/wp-content\/uploads\/2024\/11\/Screenshot-2024-11-12-at-1.36.02\u202fAM-272x300.png 272w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>An Epidemiology of Information uses multiple different methods to look at the historical texts, including Tone Analysis. Tone Analysis helps recognize the emotional tone in texts. The project used this to understand how the emotional tone of influenza coverage changed and shifted over time in different places. Researchers applied a classifier tool to detect tones [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-24","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/pages\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":5,"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/pages\/24\/revisions"}],"predecessor-version":[{"id":168,"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/pages\/24\/revisions\/168"}],"wp:attachment":[{"href":"https:\/\/classprojects.digitalwcu.org\/DTT\/wp-json\/wp\/v2\/media?parent=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}