Check out this article at Pacific Standard about Professor Nick Beauchamp’s paper at this year’s Political Science Association Conference, where he uses text analysis, machine learning, and participants recruited through Northeastern’s Volunteer Science platform to automatically craft progressively more persuasive text. In this paper, Beauchamp, a NULab core faculty member, tests this by creating increasingly more persuasive text in favor of Obamacare, but the process could be used for ads, speeches, or any other kind of persuasive text.