COVID-19 TweetIDs: Twitter Data for Non-Commercial Research

An ongoing collection of Tweet IDs associated with COVID-19, commenced on January 28, 2020. The dataset includes historical tweets from the preceding 7 days, with the first tweets dating back to January 21, 2020. It was created by Emily Chen at the University of Southern California for non-commercial research use.

Use Cases

• Track the spread of COVID-19 information and misinformation based on tweet content and keywords.
• Analyze public sentiment and discourse evolution during the pandemic based on the real-time and historical tweet collection.
• Study the role of specific accounts in COVID-19 communication based on the followed accounts mentioned in the collection method.

Strengths

• Collection began on January 28, 2020, providing early-pandemic data.
• Includes both real-time streaming data and historical tweets gathered via Twitter's APIs.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Southern California

Collection Method

Tweets collected via Twitter's search and streaming APIs, following specified accounts and keywords.

Time Range

From January 21, 2020, ongoing.