Reddit Post Discussion Predictors from Three Subreddits

A dataset of 5.5 KB contains tuned TF-IDF and LSA parameters for modeling discussion initiation and growth on Reddit. It was created by Cara Lynch and last updated on 2026-05-14. The data is derived from reconstructed threads from r/politics, r/CryptoCurrency, and r/CryptoCurrency, extracting textual, semantic, temporal, domain, and author features.

Use Cases

• Predicting whether a Reddit post will receive comments based on author activity and textual cues.
• Forecasting the eventual size of a discussion thread based on linked domain centrality and novelty.
• Training subreddit-specific classifiers for triage and targeted moderation using a concise feature set.
• Interpreting model predictions for discussion growth using SHAP analysis on extracted features.

Strengths

• Dataset size is 5.5 KB, indicating a focused and compact feature set.
• License is CC-BY-4.0, permitting broad reuse with attribution.
• Feature set is described as concise and interpretable, designed for transparent modeling.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the three specific subreddits studied.

Provenance

Source

figshare

Collection Method

Features extracted from reconstructed Reddit threads.

Freshness

Last updated 2026-05-14 17:34:38; freshness should be verified.