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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

NEW in Version 12: Besides our regular update, we have now included daily sorted counts of hashtags, mentions, and emojis (character and text) found on English tweets. These are zipped under: hashtags.zip, mentions.zip, and emojis.zip. There is one file per day properly labeled.  

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).

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 (361,227,967 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (88,259,532 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 statistics-full_dataset.tsv and statistics-full_dataset-clean.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. The 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 (3.4 GB)
Name Size
emoji.zip
md5:f400a3f6e3a91ea6a813f3152771ef2a
2.1 MB Download
frequent_bigrams.csv
md5:973d0df9fc606db1d2d9329f092ce3ac
24.2 kB Download
frequent_terms.csv
md5:f240dcbc3b5f5bf562ba203d77388bf6
12.4 kB Download
frequent_trigrams.csv
md5:fd0e03406a91638e2c6efdd19308de38
18.7 kB Download
full_dataset-statistics.tsv
md5:fa57606ca7ea3cb0191d6b01a924ccc5
2.7 kB Download
full_dataset.tsv.gz
md5:9dcc7cb6eb37d5e5a4052ead000eb8c9
2.6 GB Download
full_dataset_clean-statistics.tsv
md5:6c3f90fdb95b530f9992810081573cc8
2.7 kB Download
full_dataset_clean.tsv.gz
md5:9f1fabc61e6e282967d41ed3ef8625f4
685.6 MB Download
hashtags.zip
md5:e47f25c1009da78d5afcfcd1c3b0be3d
44.7 MB Download
mentions.zip
md5:993805abf4e1d4239f3da03297b1f29d
76.5 MB Download
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