There is a newer version of this record available.

Dataset Open Access

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Banda, Juan M.; Tekumalla, Ramya; Wang, Guanyu; Yu, Jingyuan; Liu, Tuo; Ding, Yuning; Artemova, Katya; Tutubalina, Elena; Chowell, Gerardo

Version 97 of the dataset. The peer-reviewed publication for this dataset has now been published  in Epidemiologia an MDPI journal, and can be accessed here: https://doi.org/10.3390/epidemiologia2030024. Please cite this when using the dataset.

Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 we have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets.

The data collected from the stream captures all languages, but the higher prevalence are:  English, Spanish, and French. We release all tweets and retweets on the full_dataset.tsv file (1,294,109,409 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (332,706,324 unique tweets). There are several practical reasons for us to leave the retweets, tracing important tweets and their dissemination is one of them. For NLP tasks we provide the top 1000 frequent terms in frequent_terms.csv, the top 1000 bigrams in frequent_bigrams.csv, and the top 1000 trigrams in frequent_trigrams.csv. Some general statistics per day are included for both datasets in the full_dataset-statistics.tsv and full_dataset-clean-statistics.tsv files. For more statistics and some visualizations visit: http://www.panacealab.org/covid19/ 

More details can be found (and will be updated faster at: https://github.com/thepanacealab/covid19_twitter) and our pre-print about the dataset (https://arxiv.org/abs/2004.03688

As always, the tweets distributed here are only tweet identifiers (with date and time added) due to the terms and conditions of Twitter to re-distribute Twitter data ONLY for research purposes. They need to be hydrated to be used.

This dataset will be updated bi-weekly at least with additional tweets, look at the github repo for these updates. Release: We have standardized the name of the resource to match our pre-print manuscript and to not have to update it every week.
Files (14.7 GB)
Name Size
emojis.zip
md5:1df9f69a805e89b55deff543bde76009
11.3 MB Download
frequent_bigrams.csv
md5:5f3042d65a996ac7d3062da758935f3b
18.5 kB Download
frequent_terms.csv
md5:e6543768556cea06cf4814f75eb99149
11.7 kB Download
frequent_trigrams.csv
md5:633c1b0108dbc0b9e37fdb4473b11661
25.2 kB Download
full_dataset-statistics.tsv
md5:a827cfdc12f96fb5402fe90f485624a3
13.9 kB Download
full_dataset.tsv.gz
md5:fda28cdd77f9cd8e5456d50ee9622b43
11.0 GB Download
full_dataset_clean-statistics.tsv
md5:08a2ffca173dd071fa9cc857d29db2fb
13.4 kB Download
full_dataset_clean.tsv.gz
md5:3971107f13e77e1bafcacfa30d582289
3.2 GB Download
hashtags.zip
md5:5fed7b60025b4159981e05ffc91eb6a7
180.7 MB Download
mentions.zip
md5:41bb63fe8e1b8a9a5576f515d9d04b53
300.6 MB Download
144,537
175,263
views
downloads
All versions This version
Views 144,537462
Downloads 175,263162
Data volume 273.8 TB350.7 GB
Unique views 112,665382
Unique downloads 33,71378

Share

Cite as