Community question answering is the task of answering questions on a Q&A forum or board, such as Stack Overflow or Quora.
Thousands of complex natural language questions are submitted to community question answering websites on a daily basis, rendering them as one of the most important information sources these days.
Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims.
Directed graphs have been widely used in Community Question Answering services (CQAs) to model asymmetric relationships among different types of nodes in CQA graphs, e. g., question, answer, user.
We also propose a model to route newly posted questions to appropriate users based on the difficulty level of the question and the expertise of the user.