Fake news filter helps fighting one of the worst plagues of digital age – misleading information presented as news. The one we built uses contributions of Facebook users to calculate score for each individual post.
For this project first we had to create a Google Chrome extension, that determined the type of each Facebook post. If it was a picture gallery, all paths of the images should have been retrieved. If it was an external link it’s URL should have been get. Similarly if the post was an advertisement, game or a text post, all corresponding data should have been obtained. A badge, that showed the content type, was appended to each post.
Finally the user could click a button to mark the post as fake or trustworthy. All clicks are submitted to a remote server, where the rating of the post is calculated.
If you like to see other Google Chrome extensions we created for our clients have a look at our eBay Scraper.