Detection of fake news has spurred widespread interests in areas such as healthcare and
Internet societies, in order to prevent propagating misleading information for commercial and
political purposes. However, efforts to study a general framework for exploiting knowledge,
for judging the trustworthiness of given news based on their content, have been limited.
Indeed, the existing works rarely consider incorporating knowledge graphs (KGs), which
could provide rich structured knowledge for better language understanding. In this work, we�…