Our project recognises that the use of passive voice focuses mainly on the victim and places the perpetrator in the background which can be detrimental to the discourse on gender-based violence. To do this, a dataset was prepared by collecting numerous media reports that adopted the passive writing style. Our code produced an accuracy of 81% using Python’s SpaCy library which identifies the passive voice in the provided headlines. It was concluded that we should move towards a more neutral and sensitive reportage.