Jain, NamanSingh, Mayank2025-08-282025-08-282021-06-01http://arxiv.org/abs/2106.07213https://d8.irins.org/handle/IITG2025/19815Nowadays, researchers have moved to platforms like Twitter to spread information about their ideas and empirical evidence. Recent studies have shown that social media affects the scientific impact of a paper. However, these studies only utilize the tweet counts to represent Twitter activity. In this paper, we propose TweetPap, a large-scale dataset that introduces temporal information of citation/tweets and the metadata of the tweets to quantify and understand the discourse of scientific papers on social media.en-USe-Printe-Print123456789/435