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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

Version 107 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 (1,325,503,311 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (342,130,453 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 (15.1 GB)
Name Size
emojis.zip
md5:61b0b761127aae88c97ead959bb5b3aa
12.0 MB Download
frequent_bigrams.csv
md5:0892d6a33c1f9ea13f02aa88b0f0aaae
17.8 kB Download
frequent_terms.csv
md5:c0c5c44c685a6bcc90f6f59fd17bc036
11.6 kB Download
frequent_trigrams.csv
md5:3723b37869dd575a3a214633604947b6
24.9 kB Download
full_dataset-statistics.tsv
md5:d07caa1d79df86b59b5d7ad4940cb57d
15.1 kB Download
full_dataset.tsv.gz
md5:3a57f625eb9161d68d213d67ff4deb7a
11.3 GB Download
full_dataset_clean-statistics.tsv
md5:ebeeafcb060fab0ae61f88c66cbc36ea
14.6 kB Download
full_dataset_clean.tsv.gz
md5:a9cebcec4d6656bac6f9f058dfc1e9bf
3.3 GB Download
hashtags.zip
md5:bc071b2c2ee252a5d379a1dfc3646c6f
187.0 MB Download
mentions.zip
md5:2251804cdfb9fe8482561f49d0069a23
311.1 MB Download
145,665
175,821
views
downloads
All versions This version
Views 145,665485
Downloads 175,8211,854
Data volume 274.5 TB18.9 TB
Unique views 113,543384
Unique downloads 34,012116

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