Data · dataset · 2021
COVID-19 Twitter Chatter Dataset
Listed in BERD@NFDI Data Portal
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.
Description
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.
Read the rest (1 more)
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 dataset is 14.2 GB large.
Links
Where it is published
- BERD@NFDI Data Portal record berd-platform.de/records/6eww0-vrh90 ↗
landing page · from berd platform de
- DOI doi.org/10.3390/epidemiologia2030024 ↗
DOI / persistent id · from berd platform de
Catalogue records · 1
- InvenioRDM API berd-platform.de/api/records/6eww0-vrh90 ↗
metadata API · from berd platform de
Topics
- Stated by source
- COVID-19 · social media · Twitter
- From keywords
- Economics & Finance · Medicine & Health · Social Science
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| BERD@NFDI Data Portal | 6eww0-vrh90 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:social-science | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · berd platform de | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[topic].invenio_subject:berd_platform_de:covid-19 | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:social-media | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[topic].invenio_subject:berd_platform_de:twitter | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| description | source · berd platform de | connector:berd_platform_de@1.0.0 | /metadata/description |
| license | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| publication_date | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| title | source · berd platform de | connector:berd_platform_de@1.0.0 | /metadata/title |
| updated_date | source · berd platform de | connector:berd_platform_de@1.0.0 |