A Differential Epidemic Model for Information, Misinformation, and Disinformation in Online Social Networks

These days the online social network has become a huge source of data. People are actively sharing information on these platforms. The data networks can be misinformation, information, and disinformation. Because have an important part our lives, makes great impact us. Here differential epidemic model for disinformation is proposed. expression basic reproduction number been developed. Again, stability condition system at both infection-free endemic equilibriums points discussed. numerical simulation performed to validate theoretical results. Data available Twitter related COVID-19 vaccination used perform experiment. Finally, authors discuss control strategy minimize misinformation vaccination.