Gender Differences in Covid-19 Tweeting: Word Frequency Statistics from March 2020

Word frequency statistics and graphs from the paper "Gender Differences in Covid-19 Tweeting in English". The dataset is based on English-language tweets matching specific COVID-19 queries collected between March 10 and 23, 2020. It was created by author Mike Thelwall.

Use Cases

• Analyze gender differences in language use based on word frequency statistics mentioned in the description
• Study public discourse on COVID-19 during the early pandemic period based on tweets from March 2020
• Conduct comparative text analysis based on the described collection of English tweets matching specific queries

Strengths

• Data is derived from a specific academic paper, providing a research context.
• The collection period is clearly defined as March 10-23, 2020.
• The source data is English tweets matching specific COVID-19-related queries.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's scope is limited to a specific two-week period in March 2020.

Provenance

Source

Mike Thelwall

Collection Method

Tweets in English matching the queries: coronavirus; “corona virus”; COVID-19; COVID19

Time Range

March 10-23, 2020