TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers

Source
Proceedings of the ACM IEEE Joint Conference on Digital Libraries
ISSN
15525996
Date Issued
2021-01-01
Author(s)
Jain, Naman
DOI
Volume
2021-September
Abstract
Nowadays, 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.
Unpaywall
URI