This study analyzes Swiss water governance as a network of interrelated issues. It compares how organizations reflect relations between governance issues in their activity with the way issue relations are depicted by the media (issue attention-activity fit). To do so, a media data analysis, supported by machine learning, is combined with a nation-wide survey. Prominent areas of misfit relate to the coordination between water saving measures and drought risks; the exploitation of subterranean resources and drinking water protection; and issues of micropollutants. The study demonstrates that comparing organizational activity with media attention is particularly well suited to recognize newly emerging, currently neglected areas of governance.