# Abuse Detection on Sarcasm Dataset

Source: [Abuse Detection on Sarcasm Dataset](<https://www.sota2.com/research/sota/abuse-detection-on-sarcasm-dataset>)

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

Data updated: 2026-02-26T05:24:20.970Z

Evaluation of Abuse Detection performance using the Sarcasm Dataset, measured by AUC, Accuracy, Precision, Recall, and F1 score.

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 | Abuse Detection |
| Dataset (including any stated split) | Sarcasm Dataset |
| Metric | AUC |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [AUC](<https://www.sota2.com/research/sota/abuse-detection-on-sarcasm-dataset.md?metric=AUC>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/abuse-detection-on-sarcasm-dataset.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/abuse-detection-on-sarcasm-dataset.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/abuse-detection-on-sarcasm-dataset.md?metric=Recall>): Higher is better; unit: PERCENT.

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

## Recorded results

| Method | AUC | Result date | Report paper |
| --- | --- | --- | --- |
| DL-Text & Metadata (Interleaved) | 98 | Not recorded | 68fa64121e209131cea02881 |
| DL-Text & Metadata (Naive Train.) | 97 | Not recorded | 68fa64121e209131cea02881 |
| DL-Text & Metadata (Tran. Lear.) | 97 | Not recorded | 68fa64121e209131cea02881 |
| DL-Text & Metadata (Tran. Lear. FT) | 97 | Not recorded | 68fa64121e209131cea02881 |
| DL-Metadata only | 96 | Not recorded | 68fa64121e209131cea02881 |
| DL-Text only | 81 | Not recorded | 68fa64121e209131cea02881 |
| Rajadesingan, Zafarani, and Liu 2015 | 70 | Not recorded | 68fa64121e209131cea02881 |
| Baseline Naive Bayes | 66 | Not recorded | 68fa64121e209131cea02881 |

### DL-Text & Metadata (Interleaved)

AUC: 98. Result ID: 698c0b72f729bc7f68e7fb52.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: {"Features":"Text & Metadata","Training Strategy":"Interleaved Training"}. This record does not assert independent reproduction.

### DL-Text & Metadata (Naive Train.)

AUC: 97. Result ID: 698c0b72f729bc7f68e7fb4f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: {"Features":"Text & Metadata","Training Strategy":"Naive Training"}. This record does not assert independent reproduction.

### DL-Text & Metadata (Tran. Lear.)

AUC: 97. Result ID: 698c0b72f729bc7f68e7fb50.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: {"Features":"Text & Metadata","Training Strategy":"Transfer Learning"}. This record does not assert independent reproduction.

### DL-Text & Metadata (Tran. Lear. FT)

AUC: 97. Result ID: 698c0b72f729bc7f68e7fb51.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: {"Features":"Text & Metadata","Training Strategy":"Transfer Learning with Fine-Tuning"}. This record does not assert independent reproduction.

### DL-Metadata only

AUC: 96. Result ID: 698c0b72f729bc7f68e7fb4d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: {"Features":"Metadata only"}. This record does not assert independent reproduction.

### DL-Text only

AUC: 81. Result ID: 698c0b72f729bc7f68e7fb4e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: {"Features":"Text only"}. This record does not assert independent reproduction.

### Rajadesingan, Zafarani, and Liu 2015

AUC: 70. Result ID: 698c0b72f729bc7f68e7fb4c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Baseline Naive Bayes

AUC: 66. Result ID: 698c0b72f729bc7f68e7fb4b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64121e209131cea02881.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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