Doug Smith, Noah Yoshida, Cami Carballo

Special thanks also to UTA ClaimBuster fact-checking team

• Code is primarily python2.7, please alias/run appropriately in your environment.
• All data in REQUIREMENTS.txt pip install -r REQUIREMENTS.txt
• spacy english module: python -m spacy download en

• Configure your environment and install the requisite packages as explained in dependencies.
• Start the django server in mysite/

cd mysite
python manage.py runserver

• Server should start up and listen on a local port(8000).

fact JSON structure:

{
  date: Date
  sourceList: []{
    author: String
    publisher: String
    date: Date
    url: String
  }
  distilledFact: String
  factStrings: []String
  factHash: Hash
  confidenceScore: Number
}

distilledFact: - String summarizing this fact based on common interpretation of all fact strings

factStrings: - Actual quotes of all strings that reduce to this fact

factHash: - Hashed representation of what the fact concerns (Subjects x Sentiment)

confidenceScore: - Numeric representation of how often this fact has been presented/verified

BBC

Top Stories: http://feeds.bbci.co.uk/news/rss.xml

Politics: http://feeds.bbci.co.uk/news/politics/rss.xml

NYT

Home Page: http://rss.nytimes.com/services/xml/rss/nyt/HomePage.xml

US: http://rss.nytimes.com/services/xml/rss/nyt/US.xml

Politics: http://rss.nytimes.com/services/xml/rss/nyt/Politics.xml