There is a newer version of this record available.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 111 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 (1,332,499,832 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (344,339,997 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 (15.2 GB)
Name Size
emojis.zip
md5:1990b2b9fa4f24427309c6c9d0ab0390
12.3 MB Download
frequent_bigrams.csv
md5:298aa3888fe808f2fa7342674dee8c24
17.8 kB Download
frequent_terms.csv
md5:fa0a639e79f977a6727d1a1c6bb8b42f
11.7 kB Download
frequent_trigrams.csv
md5:2db176355096041c677c59c6e49709d6
24.3 kB Download
full_dataset-statistics.tsv
md5:a479e9da3603207c02a028664e74581b
15.6 kB Download
full_dataset.tsv.gz
md5:8bcafb08c63dfa243ef978ea880bd3af
11.4 GB Download
full_dataset_clean-statistics.tsv
md5:cf0b1d35c7a5295467921f9c87bdd292
15.1 kB Download
full_dataset_clean.tsv.gz
md5:44706fc20a1235e94e7f81b298ca0cc3
3.3 GB Download
hashtags.zip
md5:41c70d99dd9f08cbdacca022a27f901e
188.7 MB Download
mentions.zip
md5:b2949856fee8672671b8a8b57067a93c
313.9 MB Download
145,560
175,792
views
downloads
All versions This version
Views 145,5601,706
Downloads 175,792696
Data volume 274.5 TB1.7 TB
Unique views 113,4511,501
Unique downloads 33,994299

Share

Cite as