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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 83 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 (1,222,981,652 unique tweets), and a cleaned version with no retweets on the full_dataset-clean.tsv file (313,558,225 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 (13.8 GB)
Name Size
emojis.zip
md5:d68bf4698fc83738d2598f7fde75eda0
10.0 MB Download
frequent_bigrams.csv
md5:003a8e5ef73d2db68f3bf723c51a5459
18.7 kB Download
frequent_terms.csv
md5:9e13d13ed843d51bac5c3a5ab95b6aae
11.7 kB Download
frequent_trigrams.csv
md5:b3ea4e64fbcc9a35d54f2b583c175aac
25.8 kB Download
full_dataset-statistics.tsv
md5:0b5b864c9514441156547a30c05509a5
12.1 kB Download
full_dataset.tsv.gz
md5:8ba708a4e9d4731e25405931ba71799f
10.4 GB Download
full_dataset_clean-statistics.tsv
md5:6cb3b7f2a49cc361ea5ca6dd6eabc62e
11.6 kB Download
full_dataset_clean.tsv.gz
md5:97c6bd667d6c1fb9f6f759ebc97d0907
3.0 GB Download
hashtags.zip
md5:7d90902f8c3485bf6cd6edc34cbbe43f
169.7 MB Download
mentions.zip
md5:04434ac190836e7e71e731207c8fb5da
280.1 MB Download
113,602
155,260
views
downloads
All versions This version
Views 113,602935
Downloads 155,260316
Data volume 222.3 TB501.7 GB
Unique views 88,908793
Unique downloads 28,355127

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