The repository contains a collection of Arabic Tweet IDs associated with the novel coronavirus COVID-19. The dataset contains data collected from December 1st 2019 until April 11th 2020. We used Crimson Hexagon a social media analytic platform that provides paid data stream access. To comply with Twitter’s Terms of Service, we are only publicly releasing the Tweet IDs of the collected Tweets. The data is released for non-commercial research use. The total number of tweets collected until now is 3,800,855.
The associated paper to this repository can be found here: Coronavirus: Public Arabic Twitter Dataset
The Tweet-IDs are organized as follows:
- TweetIDs files are organised in folders indicating the year and month of the collection.
- Indivisual Tweet-ID files contains a collection of Tweet IDs, all follow the same structure.
- Each file is prefixed with "coronavirus-tweet-id-" followed by YEAR-Month-DAY.
- The main focus in the data set collected was on hashtags used in Saudi Arabia, although they might be used in Arabic-speaking countries outside of Saudi Arabia.
- The folder keywords contains the list of keywords used for all of the topic.
- The file accounts.txt contains the Saudi Arabia ministry of health accounts, with a total of 1600 tweets populated by these accounts.
| Hashtags Topics | Number of tweets |
|---|---|
| Populated by Saudi governmental accounts | 1,313,055 |
| Discussing Precautionary measures applied by governments | 492,343 |
| Showing social solidarity | 219,768 |
| Supporting decisions taken by governments | 1,814,477 |
| Number of original tweets | 707,829 |
|---|---|
| Number of retweets | 3,093,026 |
| number of unique users | 1,000,244 |
| number of unique users who wrote original tweets | 323,876 |
You can use tools such as the Hydrator and Twarc to retrieve the tweets. keep in mind that some of these tweets might be removed.
This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC BY-NC-SA 4.0). By using this dataset, you agree to abide by the stipulations in the license, remain in compliance with Twitter’s Terms of Service, and cite the following manuscript:
Addawood, A. Coronavirus: Public Arabic Twitter Dataset. Preprints 2020, 2020040263 (doi: 10.20944/preprints202004.0263.v1).
if you have any questions or suggestions regarding the dataset please contact Dr.Aseel Addawood at aasdawood[at]imamu[dot]edu[dot]sa