This repository contains the datasets collected and annotated for the DSAA'2022 paper: Understanding Stay-at-home Attitudes through Framing Analysis of Tweets Understanding Stay-at-home Attitudes.
This dataset includes the annotation for relevant tweets originated from the U.S. with their attitudes toward stay-at-home orders, quality, and moral frames. Cells with N/A values are not annotated.
- Attitude: Pro=1, Against=2, Undecided=3
- Quality: Vivid=V, Genetic=G
This dataset contains the tweet_ids of tweets predicted as relevant by the classifier.