CS388 – Week 7 – Updates

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  • 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 all different topics and types
  • I’ve also split up my project into smaller more manageable goals to accomplish
    • First Level Basic Goals:
      • Find a large enough dataset that is properly vetted as credible and one that is properly vetted as not credible
        • I want this dataset to be on a variety of topics
      • Find an algorithm/classifier that is accurate 80%-100% of the time on the dataset with a variety of topics
      • Find the key features that are the most reliable for classifying
    • Second Level Goals:
      • Expand the dataset to include pictures where the text was extracted from it
      • Re-test the algorithm/classifier to make sure a drop in accuracy hasn’t occurred
      • Re-test that the key features for articles can apply to the text within a picture
    • Third Level Goals:
      • Expand the dataset to include videos where they are transcribed as accurately as possible.
      • Re-test the algorithm/classifier to make sure a drop in accuracy hasn’t occurred
      • Re-test that the key features for articles can apply to the transcriptions
    • Fourth Level Goals:
      • 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
    • Fifth Level Goal:
      • The app/website will keep a record of things that have been deemed credible or not 
      • Create a browser extension that will take the media from the current tab and check if it is credible
    • Sixth Level Goal:
      • The app/website and browser extension will scan and search for certain keywords set by the user and check new content that’s been uploaded

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