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  1. Computer scientists have responded to the high prevalence of inaccurate political information online by creating systems that identify and flag false claims. Warning users of inaccurate information as it is displayed has obvious appeal, but it also poses risk. Compared to post-exposure corrections, real-time corrections may cause users to be more resistant to factual information. This paper presents an experiment comparing the effects of real-time corrections to corrections that are presented after a short distractor task. Although real-time corrections are modestly more effective than delayed corrections overall, closer inspection reveals that this is only true among individuals predisposed to reject the false claim. In contrast, individuals whose attitudes are supported by the inaccurate information distrust the source more when corrections are presented in real time, yielding beliefs comparable to those never exposed to a correction. We find no evidence of real-time corrections encouraging counterargument. Strategies for reducing these biases are discussed. 
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