Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe)

Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh

Abstract: The COVID-19 pandemic showed the importance of vaccination at a large scale. However, quite often people expressed different concerns they had towards vaccines which made them hesitant to take them. Some people were concerned about the potential side-effects of vaccines, while some believed that the vaccines were not necessary due to the disease being mild. These concerns were frequently shared on social media sites such as Twitter. The FIRE 2023 AISoMe track focused on identifying these specific concern(s) that people have towards vaccines from tweets, as a 12-class multi-label classification task.