COVID-19 Vaccine Sentiment on Twitter and Reddit

A collection of results from a sentiment analysis of approximately 70,000 Reddit posts/comments and 9.5 million Tweets discussing COVID-19 vaccines. The text was classified using a fine-tuned DistilRoBERTa model. Data was collected from January 1, 2020, to March 1, 2022.

Use Cases

• Compare sentiment analysis results between the Reddit and Twitter platforms for COVID-19 vaccine discourse.
• Analyze temporal trends in sentiment across the 26-month collection period from 2020 to 2022.
• Benchmark the performance of the fine-tuned DistilRoBERTa model used for classification on this specific domain.
• Study the volume and sentiment of social media posts related to the COVID-19 vaccine topic.

Strengths

• Contains 9.5 million Tweets, providing a large sample for analysis.
• Covers a 26-month time range from January 2020 to March 2022, capturing key pandemic phases.
• Uses a fine-tuned DistilRoBERTa model for sentiment classification, offering a consistent analytical method.
• Includes data from two major social platforms, Twitter and Reddit, for cross-platform comparison.

Limitations

• The specific sentiment labels, column structure, and classification confidence scores are unknown.
• The geographic or demographic distribution of the posts is not specified, which may limit generalizability.
• The dataset's last update was in May 2022, making the data temporally stale for analyzing recent sentiment.

Provenance

Source

Twitter and Reddit.

Collection Method

Collected social media posts and classified with a fine-tuned DistilRoBERTa model.

Time Range

January 1, 2020, to March 1, 2022.

Freshness

Last updated on 2022-05-20.