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Description: Misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information but have not yet targeted social processes. Here, we examine whether providing balanced social reference cues in addition to flagging misinformation leads to reductions in sharing behavior. In 3 field experiments (N=886, N=322, and N=278) on Twitter, we show that highlighting which content others within the personal network share and, more importantly, not share combined with misinformation flags significantly and meaningfully reduces the amount of misinformation shared (Study 1-3). We show that this reduction is driven by change in injunctive social norms (Study 2) but not social identity (Study 3). Social reference cues, combined with misinformation flags, are feasible and scalable means to effectively curb sharing misinformation on social media.

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A fully reproducible capsule of the analysis environment in RStudio (incl. the reproducible manuscript and all data) can be found on CodeOcean here: https://codeocean.com/capsule/7883768/tree/v1

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