How Correction Formats Change Belief Updating In Misinformation Exposure Across Digital Platforms

Abstract

Digital platforms have increased sources of misinformation exposure and tools to counteract the misinformation available to us, but the updating of beliefs is skewed. The article focuses on the role of correction format in influencing the belief revision following exposure to misinformation in platform conditions. The study utilized a secondary qualitative research design to synthesize qualitative results of published studies on digital misinformation correction to derive an inductive, mechanism-based explanation of why and when individuals update beliefs, do not update beliefs, or change behavior, instead of beliefs, to arrive at its result. There are five themes that the synthesis brings out. To begin with, when credit is expressed with the help of format cues (transparency, sourcing, and perceived legitimacy), format cues are also able to be counter-argued when they are used as a partisan contention. Second, there is an enormous conditioning effect of cognitive effort; in-feed labels and micro-prompts have a high frequency of encounter but a shallow update. In contrast, narrative corrections and detailed explainers have a high capacity to produce deeper updating but low uptake in attention-sparse conditions. Third, identity threat and reactance arise when the corrections are seen as coercive, especially when the politicized deals are concerned or when there are signals that relate to moderation, investigating the censorship frames. Fourth, conversational conditions repurpose the result: thread corrections, when used to encourage learning among bystanders via social proof, can actually promote learning, but may also intensify polarization and foster misinformation via repetition. Fifth, timing and visibility moderate effectiveness: prebunking may influence the interpretation in advance when familiarity has not yet solidified, and debunking works best when it has coherent alternative explanations and when it reaches the users early enough to counter repeated exposure. In general, the results indicate that the conditional factors of correction format according to the affordances of the platform, social meaning, and interventions should be assessed on both examples of belief and behavioral outcomes. The article rounds off with design suggestions regarding platforms and research recommendations on the persistence, individually conveyed messaging conditions, and developing correction facilities.