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Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes
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Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes (2021)Misinformation warnings: Twitter’s soft m…Using a Global Pandemic as a Teachable Moment to Promote Vaccine Literacy and Build Resilience to Misinformation (2020)Using a Global Pandemic as a …The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings (2020)The Implied Truth Effect: Att…Officials gird for a war on vaccine misinformation (2020)Officials gird for a war on v…Assessing COVID-19 vaccine literacy: a preliminary online survey (2020)Assessing COVID-19 vaccine li…A global survey of potential acceptance of a COVID-19 vaccine (2020)A global survey of potential …When Users Control the Algorithms (2019)When Users Control the Algori…Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact-Check Tags in Reducing Belief in False Stories on Social Media (2019)Real Solutions for Fake News?…Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate (2018)Weaponized Health Communicati…Generalised scepticism: how people navigate news on social media (2018)Generalised scepticism: how p…Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media (2018)Appealing to Sense and Sensib…Using Twitter to Understand Public Perceptions Regarding the # HPV Vaccine: Opportunities for Public Health Nurses to Engage in Social Marketing (2017)Using Twitter to Understand P…Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter (2016)Applying Multiple Data Collec…Belief Echoes: The Persistent Effects of Corrected Misinformation (2015)Belief Echoes: The Persistent…When Corrections Fail: The Persistence of Political Misperceptions (2010)When Corrections Fail: The Pe…Explicit warnings reduce but do not eliminate the continued influence of misinformation (2010)Explicit warnings reduce but …When “Just Say No” is not enough: Affirmation versus negation training and the reduction of automatic stereotype activation (2006)When “Just Say No” is not eno…The Role of Social Media in Knowledge, Perceptions, and Self-Reported Adherence Toward COVID-19 Prevention Guidelines: Cross-Sectional Study (2024)The Role of Social Media in K…Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. 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References

  • 2010When Corrections Fail: The Persistence of Political Misperceptions3,173 cited
  • 2020A global survey of potential acceptance of a COVID-19 vaccine2,902 cited
  • 2018Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate1,148 cited
  • 2020The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings717 cited
  • 2019Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact-Check Tags in Reducing Belief in False Stories on Social Media657 cited
  • 2015Belief Echoes: The Persistent Effects of Corrected Misinformation625 cited
  • 2010Explicit warnings reduce but do not eliminate the continued influence of misinformation480 cited
  • 2006When “Just Say No” is not enough: Affirmation versus negation training and the reduction of automatic stereotype activation305 cited
  • 2020Assessing COVID-19 vaccine literacy: a preliminary online survey281 cited
  • 2018Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media187 cited
  • 2018Generalised scepticism: how people navigate news on social media146 cited
  • 2016Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter121 cited
  • 2020Officials gird for a war on vaccine misinformation120 cited

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2017
Using Twitter to Understand Public Perceptions Regarding the # HPV Vaccine: Opportunities for Public Health Nurses to Engage in Social Marketing
78 cited
  • 2019When Users Control the Algorithms66 cited
  • 2020Using a Global Pandemic as a Teachable Moment to Promote Vaccine Literacy and Build Resilience to Misinformation42 cited
  • Cited by

    • 2024The Role of Social Media in Knowledge, Perceptions, and Self-Reported Adherence Toward COVID-19 Prevention Guidelines: Cross-Sectional Study6 cited