Hierarchical Regression Results for Fake News Discussed in Group

Hierarchical regression results for fake news discussed in group. The dataset was authored by Diana Carbone and last updated on May 27, 2026. It is a 5.5 KB XLS file available under a CC-BY-4.0 license on figshare.

Use Cases

• Validate statistical models of misinformation spread based on the regression results.
• Analyze the relationship between group discussion and fake news outcomes based on the hierarchical model.
• Compare effect sizes for different predictors of fake news discussed in group.

Strengths

• Dataset is openly available under a CC-BY-4.0 license.
• File size is 5.5 KB, indicating a focused and manageable dataset.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-27 17:21:58; freshness should be verified.