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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 80 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 (1,209,709,036 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (309,773,768 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 (13.6 GB)
Name Size
emojis.zip
md5:76976b252de4ded72229611a8c890e00
9.8 MB Download
frequent_bigrams.csv
md5:66c313355dc921ebfd3d595596687647
19.2 kB Download
frequent_terms.csv
md5:aa9a52813fabc9e62315bfafaf9182a1
11.8 kB Download
frequent_trigrams.csv
md5:191d831b541068b81d4dfa8cca37cade
26.1 kB Download
full_dataset-statistics.tsv
md5:7a232aa4813f27fa8088ab15aee32d50
11.7 kB Download
full_dataset.tsv.gz
md5:d4b93a89af4c529dcfbf3a579a4783cd
10.2 GB Download
full_dataset_clean-statistics.tsv
md5:771b7e8c656e87ec10b67781bd43d9f4
11.2 kB Download
full_dataset_clean.tsv.gz
md5:0b4ef545ef655c11a28aad4bb8f370da
2.9 GB Download
hashtags.zip
md5:ccda378ab2dc48859a5d012f2973931d
167.1 MB Download
mentions.zip
md5:5e974a0a770f9872687ae18a2a287f9a
275.5 MB Download
112,509
154,899
views
downloads
All versions This version
Views 112,509628
Downloads 154,899259
Data volume 221.8 TB336.3 GB
Unique views 88,116555
Unique downloads 28,157115

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