Recently, a microblogging system company has problem with their posts, i.e., blogs and tweets. The companys system allows blogs and tweets that include texts and links to websites and resources. The tweets are limited posts with a particular number of characters, more specifically, the limit is 140 characters. The posts can be followed and accessed by an enormous number of users. These users can see other users tweets in a timeline. The users can also create own tweets, and it is possible to retweet information, i.e., sharing information, that has been given by others. When a post is provided, a timestamp is used (date and time). The problem now is that the company has found tweets that contain false news that are fabricated without foundation and need an AI-system that can find these tweets. The news can be good news, negative news, false news and false negative news. The AI-system shall be able to filter the news and provide the news without the false information (that is false news and false negative news). Hence, the AI-system shall use news feeds to filter the news and create news feeds that only cover true news and provide news to the users. Your task is to suggest a solution based on one AI-technique that handles the requirements presented above. The solution shall be well-described with valid arguments. Describe your solution by providing answers for following tasks, a) - d), below:

b) Design showing the model and architecture of the content of the system and dependencies between the parts