task_categories:text-classification language:en license:cc-by-4.0 size_categories:1M<n<10M region:us
---
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
size_categories:
- 1M<n<10M
---

# ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels

### Description

**Data 1:** Raw and Unlabeled; 2 million unlabeled replies from 17 Telegram channels.

**Data 2:** Raw and Labeled; 15,076 replies from 17 Telegram channels categorized as no threat, judicial threat, and non-judicial threat.

### Citation

If you use this dataset, please cite:

```
@INPROCEEDINGS{10459792,  
  author={Ravi, Kamalakkannan and Vela, Adan Ernesto and Jenaway, Elizabeth and Windisch, Steven},  
  booktitle={2023 International Conference on Machine Learning and Applications (ICMLA)},   
  title={Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study},   
  year={2023},  
  pages={1520-1527},  
  keywords={Analytical models; Annotations; Social networking (online); Transfer learning; Predictive models; Threat assessment; Data models; social networking (online); Telegram; learning (artificial intelligence); human-in-the-loop; radicalization behavioral indicators; text analysis; predictive models; natural language processing},  
  doi={10.1109/ICMLA58977.2023.00229}
}
```