Meta information about the article such as author, date of creation, source domain will be appended as extra token in addition to the input sequence and sent for training

Meta information allows the TGM to learn the relationship between original content and the meta information.

First controllable TGM proposed is the GROVER model which can create trustworthy fake news content using meta-information of the news article (such as headline, author, and date). that is harder for humans to identify than human written fake news and can thus pose a significant threat.