The increasing availability of digital behavioral data and computational tools has transformed how communication researchers study media use, exposure, and effects. These developments offer unprecedented analytical depth – but also introduce new complexities in measurement, theory-building, and ethical practice. This year’s conference of the Methods Division invites contributions that advance and critically engage with computational approaches to the measurement of media use and effects – through methodological innovation, conceptual refinement, or empirical application.
We seek submissions that explore how computational methods can not only extend but also rethink established approaches to studying media exposure, its drivers, and its consequences.