Instagram Captions Comparing AI and Human Authorship

Captions were collected manually from diverse Instagram pages, with AI-generated counterparts created by models. The dataset is hosted on Kaggle and is intended for text classification and natural language processing tasks. Specific details on size, license, and authorship are not provided.

Use Cases

• Train a classifier to distinguish between AI-generated and human-written text based on caption content.
• Analyze stylistic differences in language use between AI models and humans based on the described caption pairs.
• Benchmark the performance of text generation models against human-authored social media content.
• Study linguistic features and optimization strategies for text generation in a social media context.

Strengths

• Data includes a direct comparison between AI-generated and human-authored content, enabling controlled studies.
• Source material is described as coming from diverse Instagram pages, suggesting a variety of topics or styles.

Limitations

• Row count, file format, and column definitions are unknown, which limits suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Captions collected manually from Instagram; AI counterparts generated by models.