Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study

We were able to observe people's eating habits using social media data to investigate the effects of COVID-19 on dietary behaviors. Deep learning for image classification and text analysis was applied, revealing a decline in users' emotions and a change in dietary patterns and attitudes during and after the lockdown period. The findings of this study suggest the need for further investigations into the factors that influence dietary behaviors and the pandemic's implications of these changes for long-term health outcomes.