Veganuary Social Media Text Data from US Region

Veganuary is a text dataset containing social media posts related to the Veganuary campaign, a global pledge to try a vegan diet during January. The dataset was created by Recognai and published on Hugging Face in February 2022. It contains between 1,000 and 10,000 rows of text data.

Use Cases

• Classify sentiment in text posts about participating in Veganuary.
• Analyze topic trends and common themes in user-generated content related to plant-based diets.
• Train a text generation model to produce content mimicking Veganuary-related social media posts.
• Perform temporal analysis on text data to track discussion volume during the January campaign period.

Strengths

• Contains between 1,000 and 10,000 text entries, providing a substantive corpus for analysis.
• Data is stored in Parquet format, enabling efficient storage and processing.
• Includes metadata tags specifying a US regional focus and modality as text.

Limitations

• Sample size is limited to under 10,000 rows, which may be insufficient for training large language models.
• Data is from early 2022 and may not reflect current social media trends or language.
• Geographic coverage is biased towards the US region, limiting global generalizability.

Provenance

Source

Recognai via Hugging Face.

Collection Method

Likely gathered from social media platforms or public forums; specific method is unknown.

Time Range

Presumably includes data from around the Veganuary 2022 campaign period.

Freshness

Last updated on 2022-02-04; dataset is over two years old.

Geography

Primarily US region, as indicated by platform tags.