# Rumor Detection on Twitter (Persian Rumor Dataset) (test) Source: [Rumor Detection on Twitter (Persian Rumor Dataset) (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:58:49.015Z Evaluation of Rumor Detection performance on the test split of the Twitter (Persian Rumor Dataset), using precision, recall, and F1 scores across True Rumor (TR), False Rumor (FR), and average categories. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Rumor Detection | | Dataset (including any stated split) | Twitter (Persian Rumor Dataset) (test) | | Metric | Precision (TR) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 3 of 3 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Precision (TR)](): Higher is better; unit: PERCENT. - [Recall (TR)](): Higher is better; unit: PERCENT. - [F1 Score (TR)](): Higher is better; unit: PERCENT. - [Precision (FR)](): Higher is better; unit: PERCENT. - [Recall (FR)](): Higher is better; unit: PERCENT. - [F1 Score (FR)](): Higher is better; unit: PERCENT. - [Precision (Avg)](): Higher is better; unit: PERCENT. - [Recall (Avg)](): Higher is better; unit: PERCENT. - [F1 Score (Avg)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Precision (TR) | Result date | Report paper | | --- | --- | --- | --- | | Jahanbakhsh-Nagadeh et al. | 76 | Not recorded | 68fa6cd91e209131cea36392 | | Content features + SPR | 73.6 | Not recorded | 68fa6cd91e209131cea36392 | | Zamani et al. | 56.8 | Not recorded | 68fa6cd91e209131cea36392 | ### Jahanbakhsh-Nagadeh et al. Precision (TR): 76. Result ID: 698f44413a6c314849f79149. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Features":"Content-based"}. This record does not assert independent reproduction. ### Content features + SPR Precision (TR): 73.6. Result ID: 698f44413a6c314849f7914a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Features":"Content-based + Spread Power of Rumor (SPR)"}. This record does not assert independent reproduction. ### Zamani et al. Precision (TR): 56.8. Result ID: 698f44413a6c314849f79148. [Reporting paper]() Recorded evaluation configuration: {"Features":"Content-based"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.