Social Media

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Communicating through Social Media It is important for effective risk communication during COVID-19 to instruct, inform, and motivate appropriate self-protective behaviors, and it is also important to monitor the changing environment and address the informational needs of the public. This Read More
This week is full of information about misinformation. All across the globe, misinformation about COVID-19 is a major threat to public health. In this research study of prevalence and predictors of belief in misinformation across the United States, the United Read More
Misinformation on Social Media This month, the American Journal of Public Health published a special issue on health misinformation on social media. Below are just a few highlights from the issue: Five evidence-based recommendations for government and public health organizations Read More
Official Communication Strategies and Effectiveness Two articles discuss how government sources are the most used and trusted sources of information about COVID-19. One article specifically focuses on how young adults use government websites more than other age groups, and how Read More
In this article, health risk communication scholars use systems theory to analyze U.S. government communication during the COVID-19 pandemic and offer recommendations for local, national, and international governments to effectively communicate with the public: Actively seek and respond to relevant Read More
Now that the earliest stages of COVID-19 have passed, it is important to assess the communication to the public about health risk. Although standards of crisis and risk communication are applicable (i.e., have an informed plan, tailor messages to the Read More
Resurgence of vaccine-preventable diseases, or VPD’s, has led the World Health Organization to declare vaccine hesitancy as one of the top ten threats to global health. The resurgence of VPD’s in recent times may be directly linked to the rapid Read More
There are ongoing concerns about the accuracy of COVID-19 case counts due to issues such as lack of access to testing and difficulty in measuring recoveries. This retrospective study applied machine learning, infoveillance techniques to detect and characterize user-generated conversations Read More

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