CML-COVID: COVID-19 Twitter Tweet IDs from March-July 2020

March 2020 to July 2020, the CML-COVID dataset contains 19,298,967 million tweet IDs from 5,977,653 unique individuals related to COVID-19. It was created by Dhiraj Murthy and is hosted by the Texas Data Repository Harvested Dataverse. The data is released as tweet IDs requiring hydration via the Twitter API.

Use Cases

• Study public sentiment and discourse evolution based on the large-scale collection of COVID-19 tweets.
• Analyze information spread and user engagement based on the volume of tweets and unique users.
• Train topic detection models based on the dataset's focus on COVID-19 conversations.
• Conduct longitudinal analysis of social media behavior based on the four-month collection period.

Strengths

• Large scale with 19,298,967 million tweet IDs.
• Broad user base from 5,977,653 unique individuals.
• Clear temporal coverage from March to July 2020.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal bias inherent to the specific collection period.

Provenance

Source

Texas Data Repository Harvested Dataverse

Collection Method

Collected via Twitter API search queries, with filenames prefixed by the query used.

Time Range

March 2020 to July 2020

Freshness

Last updated 2024-03-18 11:11:46; freshness should be verified.

Geography

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