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A method to automatically retrieve frames in controversies using argument mining is proposed and applied to the controversy over fracking within the broader concerns over energy. Insights from argumentation theory are integrated with current computational text analysis capabilities to develop a method for argument mining sensitive to the detection of framing used in controversies. A large corpus news related to fracking is analyzed to compare the frequency of frames about fracking pre- and post-Trump's election.