Initial Thematic Codes for Twitter Posts Analysis

A 9.9 KB Excel file containing initial qualitative codes derived from a thematic analysis of Twitter posts. The dataset was created by researcher Robert L. Feller and was last updated in April 2026. It represents a foundational coding structure for analyzing social media content.

Use Cases

• Validating automated topic modeling algorithms against the human-derived thematic codes.
• Training supervised classifiers for tweet categorization using the provided code labels as targets.
• Informing the development of codebooks for subsequent, larger-scale content analysis studies on social media.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and adaptation.
• Provides a concrete, human-generated coding framework for thematic analysis of social media text.

Limitations

• The dataset is extremely small at 9.9 KB, indicating a very limited sample of codes or posts.
• Without column names or row counts, the structure and scope of the coding data are unclear.
• The temporal coverage of the source Twitter posts is unknown, limiting analysis of trends over time.

Provenance

Source

Robert L. Feller, published on the figshare platform.

Collection Method

Codes derived from subjecting Twitter posts to thematic analysis.

Time Range

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Freshness

Last updated in 2026, indicating planned maintenance or future versioning.

Geography

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