Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis

This dataset comprises 500,153 Instagram posts related to COVID-19, published between January 2020 and September 2024. The posts span 161 unique languages and include a total of 535,021 distinct hashtags. Following the creation of the dataset, a multilingual sentiment analysis was conducted. This analysis classified each post into one of three categories: positive, negative, or neutral. The sentiment classification is provided as an additional attribute within the dataset, offering a comprehensive overview of the emotional tone expressed across the posts. This labeled dataset provides valuable insights into public sentiment regarding COVID-19 across different languages and time periods.