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University of California Davis What approaches are most effective at targeting vaccine misinformation on social media among users unlikely to visit fact-checking websites or engage with thorough corrections? In light of increasing levels of vaccine hesitancy in several countries, researchers are studying the role of exposure to misinformation - particularly as it spreads on social media - as one of the factors that could negatively influence vaccination attitudes and decisions. One approach being studied is the design of platform-based interventions to provide social media users with signals on content and source quality. This paper explores 2 central questions: (i) Can one such signal - fact-checking labels on misinformation - result in more favourable attitudes toward vaccines, and is the effect contingent upon race, education, and/or conspiracy ideation? (ii) Does the fact-checking labels effect depend on the source to which the label is attributed?

United statesMagdalena wojcieszakChristopher calabreseJingwen zhangUniversity of california davisCenters for diseaseJohns hopkins universityAmerican broadcasting corporationDeep learning algorithmsDisease controlAdverse events reporting systemFlu shotSocial media can be effectively reducedCredible factKaren nikos roseஒன்றுபட்டது மாநிலங்களில்