This paper advocates an actor-centered, relational view of agency and proposes Quantitative Narrative Analysis (QNA) as a promising method for operationalizing and measuring agency. QNA organizes the information contained in narrative texts by exploiting the invariant linguistic structural properties of narrative—namely, sets of SVOs (Subject, Verb, Object) organized in predictable sequences and where in narrative S are actors and V are actions. The relational data made available by QNA are ideally suited for analysis with geographic information systems (GIS) tools, sequence analysis, or network analysis. These tools preserve the centrality of agency (actors and their actions) in social scientific explanation of social reality. An application of QNA to newspaper stories of lynchings in Georgia (1875–1930) will illustrate the power of this approach. The paper complements the illustration of this quantitative way of measuring agency with discourse analysis—another popular social science approach to texts. We will rely on this approach to illustrate how linguistic and rhetorical strategies can be used to hide agency in texts and the challenges (and solutions) this poses for measurement: How can we measure something that is not there?