In this article, Susan Haarman discusses the ways in which datafication technologies such as Big Data and algorithms have the potential to either challenge or exacerbate what Miranda Fricker calls epistemic injustice. She briefly defines epistemic injustice using Fricker's subsets of testimonial and hermeneutical injustice before moving to the potential ways in which datafication contributes to and may prevent epistemic injustice. In the face of this dual threat and opportunity, Haarman advocates for methods of data activism, including intentional participation and storytelling, before closing by reorienting data usage as a form of rhetoric.