# Rumor Detection on Telegram Persian Rumor Dataset (test)

Source: [Rumor Detection on Telegram Persian Rumor Dataset (test)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:58:49.029Z

Evaluation of Rumor Detection performance on the test split of the Telegram Persian Rumor Dataset, utilizing precision, recall, and F1 scores across true and false rumor classifications.

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) | Telegram 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)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=Precision%20(TR)>): Higher is better; unit: PERCENT.

- [Recall (TR)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=Recall%20(TR)>): Higher is better; unit: PERCENT.

- [F1 Score (TR)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=F1%20Score%20(TR)>): Higher is better; unit: PERCENT.

- [Precision (FR)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=Precision%20(FR)>): Higher is better; unit: PERCENT.

- [Recall (FR)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=Recall%20(FR)>): Higher is better; unit: PERCENT.

- [F1 Score (FR)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=F1%20Score%20(FR)>): Higher is better; unit: PERCENT.

- [Precision (Avg)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=Precision%20(Avg)>): Higher is better; unit: PERCENT.

- [Recall (Avg)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=Recall%20(Avg)>): Higher is better; unit: PERCENT.

- [F1 Score (Avg)](<https://www.sota2.com/research/sota/rumor-detection-on-telegram-persian-rumor-dataset-test.md?metric=F1%20Score%20(Avg)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision (TR) | Result date | Report paper |
| --- | --- | --- | --- |
| Content features + SPR | 85.5 | Not recorded | 68fa6cd91e209131cea36392 |
| Jahanbakhsh-Nagadeh et al. | 77.4 | Not recorded | 68fa6cd91e209131cea36392 |
| Zamani et al. | 62.8 | Not recorded | 68fa6cd91e209131cea36392 |

### Content features + SPR

Precision (TR): 85.5. Result ID: 698f44413a6c314849f7914d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cd91e209131cea36392.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cd91e209131cea36392.md>)

Recorded evaluation configuration: {"Features":"Content-based + Spread Power of Rumor (SPR)"}. This record does not assert independent reproduction.

### Jahanbakhsh-Nagadeh et al.

Precision (TR): 77.4. Result ID: 698f44413a6c314849f7914c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cd91e209131cea36392.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67e51e209131cea18f4f.md>)

Recorded evaluation configuration: {"Features":"Content-based"}. This record does not assert independent reproduction.

### Zamani et al.

Precision (TR): 62.8. Result ID: 698f44413a6c314849f7914b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cd91e209131cea36392.md>)

Recorded evaluation configuration: {"Features":"Content-based"}. This record does not assert independent reproduction.

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