[D] [P] Machine Learning Applications for Classification of Propoganda Posts
Hi! I was wondering if there have been any models / datasets that have been collected for creating a ML Model (RNN or some other architecture) that would be able to detect from text whether or not a specific text is propoganda from country A, B, or C.
In recent years, a lot of governments have employed people to make thousands of accounts and thousands of bots to disseminate misinformation. Are there any research papers or datasets that would be useful in this task?