File size: 1,653 Bytes
cd8530b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
language: multilingual
license: apache-2.0
tags:
- political-bias
- bias-detection
- news-analysis
- xlm-roberta
pipeline_tag: text-classification
---
# WorldVue Balanced Political Bias Detector
This model detects political bias in news articles across economic and social dimensions.
## Model Description
- **Architecture**: mDeBERTa-v3-base (278M parameters)
- **Training Data**: 6,000 articles judged by GPT-4o-mini
- **Languages**: 100+ (multilingual)
- **Axes**:
- Economic: LEFT (-1) ← CENTER (0) → RIGHT (+1)
- Social: LIBERTARIAN (-1) ← CENTER (0) → AUTHORITARIAN (+1)
## Signals Detected
**Economic (4 signals):**
1. Economic Role of State
2. Market & Business
3. Taxation & Spending
4. Labor & Trade
**Social (4 signals):**
1. State Authority vs Liberty
2. Cultural Identity
3. Immigration & Borders
4. Collective vs Individual
## Usage
```python
from transformers import AutoTokenizer, AutoModel
import torch
import torch.nn as nn
# Load model
tokenizer = AutoTokenizer.from_pretrained("Xiameineedsgpu/worldvue-balanced-bias-detector")
# ... (see example code below)
```
## Training Details
- **Test Loss**: 2.13
- **Political Articles**: 3,112
- **Non-Political Articles**: 2,888
- **Training Time**: ~1 hour on Google Colab (T4 GPU)
## Example Outputs
| Article | Economic | Social | Label |
|---------|----------|--------|-------|
| Fox News - Immigration | +0.02 | +0.83 | CENTER / AUTHORITARIAN |
| Energy Transition | -0.24 | -0.23 | LEFT / LIBERTARIAN |
| UK PPE Scandal | +0.10 | +0.25 | RIGHT / AUTHORITARIAN |
## License
Apache 2.0
|