Avinash Saraf
Biographic Data
| ID | 6072987 |
|---|---|
| NAME | Avinash Saraf |
| GIVEN NAMES | Avinash |
| FAMILY NAME | Saraf |
| SIGNATURE | SARAF A |
| AFFILIATIONS | Brittany Seymour and Elsbeth Kalenderian are with the Department of Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Boston, MA. Rebekah Getman is with the Harvard Global Health Institute, Cambridge, MA. Avinash Saraf and Lily H. Zhang are students at Harvard College, Cambridge, and interns at the Harvard Global Health Institute, Cambridge. |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
When Advocacy Obscures Accuracy Online: Digital Pandemics of Public Health Misinformation Through an Antifluoride Case Study
Objectives. In an antifluoridation case study, we explored digital pandemics and the social spread of scientifically inaccurate health information across the Web, and we considered the potential health effects. Methods. Using the social networking site Facebook and the open source applications Netvizz and Gephi, we analyzed the connectedness of antifluoride networks as a measure of social influence, the social diffusion of information based on co…
When Advocacy Obscures Accuracy Online: Digital Pandemics of Public Health Misinformation Through an Antifluoride Case Study
Objectives. In an antifluoridation case study, we explored digital pandemics and the social spread of scientifically inaccurate health information across the Web, and we considered the potential health effects. Methods. Using the social networking site Facebook and the open source applications Netvizz and Gephi, we analyzed the connectedness of antifluoride networks as a measure of social influence, the social diffusion of information based on co…
When Advocacy Obscures Accuracy Online: Digital Pandemics of Public Health Misinformation Through an Antifluoride Case Study
Objectives. In an antifluoridation case study, we explored digital pandemics and the social spread of scientifically inaccurate health information across the Web, and we considered the potential health effects. Methods. Using the social networking site Facebook and the open source applications Netvizz and Gephi, we analyzed the connectedness of antifluoride networks as a measure of social influence, the social diffusion of information based on co…
Computer Science (1 works) · Coronavirus disease 2019 (COVID-19) (1 works) · Diffusion of innovations (1 works) · Health Literacy and Information Accessibility (1 works) · Information Dissemination (1 works) · Internet privacy (1 works) · Medicine (1 works) · Misinformation (1 works) · Misinformation and Its Impacts (1 works) · Pandemic (1 works)