Abstract

Considering the widespread harms of misinformation, interventions that help social media users identify false content are essential. Nudges – subtle modifications in users’ choice architecture – show promise for improving credibility judgements. Given that people process information differently, nudges could be particularly effective if tailored to specific user types. This study explores how technology-level and user-level factors interact to shape responses to social media content, offering a nuanced view of misinformation belief. A mixed-methods approach, combining eye tracking and think-aloud protocols, captures users’ decision-making in real-time. Departing from more linear and variable-centered studies, this research will identify configurations of conditions linked to susceptibility and allow user profiles to be generated. These profiles will inform the design of targeted nudges, offering a novel and potentially more effective strategy to reduce belief in misinformation.

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