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Historical newspapers are of interest to many humanities scholars as sources of information and language closely tied to a particular time, social context and place. Digitised newspapers are also of interest to many data-driven researchers who seek large bodies of text on which they can try new methods and tools. Recently, large consortia projects applying data science and computational methods to historical newspapers at scale have emerged, including NewsEye, \textit{impresso}, Oceanic Exchanges and Living with Machines. This multi-paper panel draws on the work of a range of interdisciplinary newspaper-based digital humanities and/or data science projects, alongside 'provocations' from two senior scholars who will provide context for current ambitions. As a unique opportunity for stakeholders to engage in dialogue, for the DH2019 community to ask their own questions of newspaper-based projects, and for researchers to map methodological similarities between projects, it aims to have a significant impact on the field.