Fakebox analyzes news articles to assess wether they are likely to be real news or not. By looking at a range of available aspects of an article (title, content and URL) using built-in machine learning models and a manually curated database, Fakebox can successfully identify fake news.
Uses for Fakebox
This capability has a variety of utilities:
Warn users before they share questionable content on your platform
Ensure your article content is impartial and your titles are not clickbait
Analyze ad placement to determine how often ads are placed on questionable sites
Give your manual content moderation a head start or helping hand
What Fakebox checks
Fakebox checks the following aspects of an article. Users must provide at least one property to be checked, but the more information Fakebox is given, the more useful the results will be.
Title - Titles can be clickbait or biased
Content - The textual content of an article can be analyzed to determine if its written like real news or not
Domain name - Some domains are known for hosting certain types of content, Fakebox knows about the most popular sites