Recent advances in communication studies have seen much greater attention paid to the development, appropriation, and reflection on computational methods for analyzing large and heterogeneous data. Despite its considerable contributions, big data analytics has been criticized for the lack of contextual consideration for a long time. In other words, scholarships with computational methods may suffer from the pitfall of not unpacking, recognizing, and theorizing the richness of associated contextual elements in (big) data. This preconference aims to address such issues by advancing a context-aware approach in computational methods and by articulating an interrogation of contextual elements in using computational methods. A context-aware approach in computational methods is particularly valuable to IAMCR as a worldwide professional organization in the field of media and communication research, as this approach recognizes a reality where people communicate in diverse ways against different contexts. To acknowledge and explicate such context-bound ways plays a crucial role to explain variation in communication practices and networks, and to appreciate the plurality of communicative phenomena across the globe.