Subject |
Social Science, Health Informatics, Computer Science |
Specific subject area |
Twitter stance detection, Sentiment analysis, |
|
Polarization among in audiences |
Type of data |
Text (CSV-formatted) |
How data were acquired |
Twitter API |
Data format |
Raw, Filtered |
Parameters for data collection |
Keyword query: Coronavirus; Corona; COVID-19; Covid19; |
|
Sars-cov-2; COVD; Pandemic (case insensitive) |
Description of data collection |
We collected Twitter data for April 2020 with the specified |
|
keyword queries. We considered only root tweets (excluding retweets). |
Data source location |
http://www.Twitter.com |
Data accessibility |
https://doi.org/10.17632/38nyzyt9bz.1 |
|
We adhere to Twitter’s terms and conditions by not providing the tweet |
|
JSON, but sharing the stance labels with the tweet IDs, so that the tweets |
|
can be rehydrated from the Twitter API. |