The ongoing challenge of misinformation on social media motivates ongoing efforts to find effective countermeasures. In this study, we evaluated the potential of personalized nudging to reduce the sharing of misinformation on social media, as personalized support has been successfully applied in other areas of critical information handling. In an online experiment ( \(N = 396\) ) exposing users to social media posts, we assessed the degree of misinformation sharing between groups receiving (1) no nudges, (2) non-personalized nudges, and (3) personalized nudges. Personalization was based on three psychometric dimensions—general decision-making style, consideration of future consequences, and need for cognition—to assign the most appropriate nudge from a pool of five nudges. The results showed significant differences (p < .05) between all three groups, with the personalized nudge group sharing the least misinformation. Detailed analyses at the nudge level revealed that one nudge was universally effective and two nudges were effective only in their personalized form. The results generally confirm the potential of personalization, although the effect is limited in scope. These findings shed light on the nuanced results of nudging studies, highlight the benefits of personalization, and raise ethical considerations regarding the privacy implications of personalization and those inherent in nudges.

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Mitigating Misinformation Sharing on Social Media through Personalized Nudging

  • Katrin Hartwig

摘要

The ongoing challenge of misinformation on social media motivates ongoing efforts to find effective countermeasures. In this study, we evaluated the potential of personalized nudging to reduce the sharing of misinformation on social media, as personalized support has been successfully applied in other areas of critical information handling. In an online experiment ( \(N = 396\) ) exposing users to social media posts, we assessed the degree of misinformation sharing between groups receiving (1) no nudges, (2) non-personalized nudges, and (3) personalized nudges. Personalization was based on three psychometric dimensions—general decision-making style, consideration of future consequences, and need for cognition—to assign the most appropriate nudge from a pool of five nudges. The results showed significant differences (p < .05) between all three groups, with the personalized nudge group sharing the least misinformation. Detailed analyses at the nudge level revealed that one nudge was universally effective and two nudges were effective only in their personalized form. The results generally confirm the potential of personalization, although the effect is limited in scope. These findings shed light on the nuanced results of nudging studies, highlight the benefits of personalization, and raise ethical considerations regarding the privacy implications of personalization and those inherent in nudges.