- "Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact"
- "The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings"
- "“I Won the Election!”: An Empirical Analysis of Soft Moderation
Interventions on Twitter"
- "Two Truths and a Lie: Exploring Soft Moderation of COVID-19
Misinformation with Amazon Alexa"
- "You’re definitely wrong, maybe: Correction style has minimal effect on corrections of misinformation online"
- "Mobilizing Users: Does Exposure to Misinformation and Its Correction Affect Users’ Responses to a Health Misinformation Post?"
- "Trustworthy misinformation mitigation with soft information nudging"
- "Community-Based Fact-Checking on Twitter's Birdwatch Platform"
- "Nudge Effect of Fact-Check Alerts: Source Influence and Media Skepticism on Sharing of News Misinformation in Social Media"
- "Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention"
- "FeedReflect: A Tool for Nudging Users to Assess News Credibility on Twitter"
- "Exploring lightweight interventions at posting time to reduce the sharing of misinformation on social media"
- "Understanding and Reducing the Spread of Misinformation Online"
- "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter"
- "Shifting attention to accuracy can reduce misinformation online"
- "Privacy Nudges for Social Media: An Exploratory Facebook Study"
- "Field experiments on social media"
- "Political fact-checking on Twitter: When do corrections have an effect?"
- "Social correction across party lines in a Twitter field experiment"
- "Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment"
- "SMS advertising: How message relevance is linked to the attitude toward the brand?"

Literature on Soft Moderation of Misinformation on Twitter

When addressing and attempting to minimize misinformation on Twitter, one can pair a tweet containing misinformation with another tweet about the same topic that only contains true information. This is a way to provide a soft nudge to Twitter users, informing them of potential false information in tweets they're reading. 

University of Michigan - Ann Arbor

Twitter is a social media platform that has also become a major source of information for many people, partly due the popularity among many politicians and celebrities.  

Knowledge sharing on Twitter

Twitter has been a main source of misinformation, especially during the COVID-19 pandemic. False information regarding ways to prevent the spread of the virus, the origins of the virus, side effects of the vaccine, and etc can all be found on Twitter. 

COVID-19 Misinformation on Twitter

Articles referenced on Twitter may affect the number of citations on the articles references. 

Citations of References on Twitter

Twitter has been used for academic discussions and research related to COVID-19. 

COVID-19 Research on Twitter

Even prior to COVID-19, researchers have been using Twitter as a platform for knowledge sharing and dissemination of scientific literature and research collaboration and discussion. 

Research on Twitter

Since the initial developmental stages of the COVID-19 vaccines, Twitter has been a platform where people discussed and shared their thoughts and information about the vaccines. Some examples include public announcements such as the content of the vaccine and regional distributions and user expressing their perceptions and sentiments towards the vaccine. 

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