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Up until today there are persistent problems in disinformation research. The field lacks workable definitions, it lacks the right data on reach and prevalence of disinformation, and there are practically no impact assessments conducted of interventions. In this keynote, DROG will showcase innovative solutions to solve these issues. The first is a transactional model to identify different types of disinformation and the way models are interconnected, called ‘disinfonomics’. Disinfonomics solves the definitional problem and can be used to determine more effective intervention models. Second is a proposed standardization for impact assessment that DROG has been developing in cooperation with the University of Cambridge, including a simulation environment to target social media users with disinformation, solving the question of election interference. And third, how DROG has been using metadata from social media to conduct network analysis on the basis of behavioral patterns, in close cooperation with Target FieldLab. This addresses the problem of disinformation detection and monitoring being about content, as (inauthentic) amplification makes a better objective starting point for research and monitoring.