{"id":2903,"date":"2019-10-16T23:03:24","date_gmt":"2019-10-17T03:03:24","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=2903"},"modified":"2025-04-15T14:54:30","modified_gmt":"2025-04-15T18:54:30","slug":"cs388-week-7-updates","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/10\/16\/cs388-week-7-updates\/","title":{"rendered":"CS388 &#8211; Week 7 &#8211; Updates"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li>After reading articles for my literature review, I see that there are a lot of different ways to identify and classify media with misinformation. <ul><li>I will need to do a bit of work to be able to combine all the methods in a way that it will be able to identify and classify media of all different topics and types<\/li><\/ul><\/li><li>I&#8217;ve also split up my project into smaller more manageable goals to accomplish<ul><li> First Level Basic Goals: <ul><li>Find a large enough dataset that is properly vetted as credible and one that is properly vetted as not credible<ul><li>I want this dataset to be on a variety of topics<\/li><\/ul><\/li><li>Find an algorithm\/classifier that is accurate 80%-100% of the time on the dataset with a variety of topics<\/li><li>Find the key features that are the most reliable for classifying<\/li><\/ul><\/li><li>Second Level Goals:<ul><li>Expand the dataset to include pictures where the text was extracted from it<\/li><li>Re-test the algorithm\/classifier to make sure a drop in accuracy hasn\u2019t occurred<\/li><li>Re-test that the key features for articles can apply to the text within a picture<\/li><\/ul><\/li><li>Third Level Goals:<ul><li>Expand the dataset to include videos where they are transcribed as accurately as possible.<\/li><li>Re-test the algorithm\/classifier to make sure a drop in accuracy hasn\u2019t occurred<\/li><li>Re-test that the key features for articles can apply to the transcriptions<\/li><\/ul><\/li><li>Fourth Level Goals:<ul><li>Create an app\/website where you can upload a piece of media and the app will use the algorithm\/classifier and tell you if it is credible or not<\/li><\/ul><\/li><li>Fifth Level Goal:<ul><li>The app\/website will keep a record of things that have been deemed credible or not\u00a0<\/li><li>Create a browser extension that will take the media from the current tab and check if it is credible<\/li><\/ul><\/li><li>Sixth Level Goal:<ul><li>The app\/website and browser extension will scan and search for certain keywords set by the user and check new content that\u2019s been uploaded <\/li><\/ul><\/li><\/ul><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>After reading articles for my literature review, I see that there are a lot of different ways to identify and classify media with misinformation. I will need to do a bit of work to be able to combine all the methods in a way that it will be able to identify and classify media of &#8230; <a title=\"CS388 &#8211; Week 7 &#8211; Updates\" class=\"read-more\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2019\/10\/16\/cs388-week-7-updates\/\" aria-label=\"Read more about CS388 &#8211; Week 7 &#8211; Updates\">Read more<\/a><\/p>\n","protected":false},"author":83,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[80,98,19],"tags":[],"class_list":["post-2903","post","type-post","status-publish","format-standard","hentry","category-80","category-sari-stissi","category-student"],"_links":{"self":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/2903","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/users\/83"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/comments?post=2903"}],"version-history":[{"count":1,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/2903\/revisions"}],"predecessor-version":[{"id":2904,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/2903\/revisions\/2904"}],"wp:attachment":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/media?parent=2903"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/categories?post=2903"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/tags?post=2903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}