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Effects of Fact-Checking Social Media Vaccine Misinformation on Attitudes toward Vaccines


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 States , Magdalena Wojcieszak , Christopher Calabrese , Jingwen Zhang , University Of California Davis , Centers For Disease , Johns Hopkins University , American Broadcasting Corporation , Deep Learning Algorithms , Disease Control , Adverse Events Reporting System , Flu Shot , Social Media Can Be Effectively Reduced , Credible Fact , Karen Nikos Rose , ஒன்றுபட்டது மாநிலங்களில் , கிறிஸ்டோபர் காலப்ரஸே , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா டேவிஸ் , மையங்கள் க்கு நோய் , ஜான்ஸ் ஹாப்கின்ஸ் பல்கலைக்கழகம் , அமெரிக்கன் ஒளிபரப்பு நிறுவனம் , நோய் கட்டுப்பாடு , காய்ச்சல் ஷாட் , சமூக மீடியா முடியும் இரு திறம்பட குறைக்கப்பட்டது , நம்பகமான உண்மை , கரேன் நிகோஸ் உயர்ந்தது ,