Spaces:
Running
Running
| import logging | |
| import os | |
| from typing import Dict, Any, List | |
| logger = logging.getLogger(__name__) | |
| class BiasAnalyzer: | |
| def __init__(self): | |
| self.resources_dir = os.path.join(os.path.dirname(__file__), '..', 'resources') | |
| self.left_keywords = self._load_keywords('left_bias_words.txt') | |
| self.right_keywords = self._load_keywords('right_bias_words.txt') | |
| def _load_keywords(self, filename: str) -> List[str]: | |
| """Load keywords from file.""" | |
| try: | |
| filepath = os.path.join(self.resources_dir, filename) | |
| with open(filepath, 'r', encoding='utf-8') as f: | |
| return [line.strip().lower() for line in f if line.strip() and not line.startswith('#')] | |
| except Exception as e: | |
| logger.error(f"Error loading {filename}: {str(e)}") | |
| return [] | |
| def analyze(self, text: str) -> Dict[str, Any]: | |
| """Detect bias using keyword analysis.""" | |
| try: | |
| text_lower = text.lower() | |
| # Count matches | |
| left_count = sum(1 for word in self.left_keywords if word in text_lower) | |
| right_count = sum(1 for word in self.right_keywords if word in text_lower) | |
| total_words = left_count + right_count | |
| if total_words == 0: | |
| return { | |
| "bias": "Neutral", | |
| "bias_score": 0.0, # True neutral | |
| "bias_percentage": 0 # Neutral percentage | |
| } | |
| # New bias score formula (-1.0 left, 0.0 neutral, 1.0 right) | |
| bias_score = (right_count - left_count) / total_words | |
| # Convert bias_score to percentage (-100% to +100%) | |
| bias_percentage = bias_score * 100 | |
| logger.info(f"Bias score: {bias_score:.2f}, Bias percentage: {bias_percentage:.1f}%") | |
| # Determine bias label | |
| if bias_score < -0.8: | |
| bias = "Strongly Left" | |
| elif bias_score < -0.5: | |
| bias = "Moderately Left" | |
| elif bias_score < -0.2: | |
| bias = "Leaning Left" | |
| elif bias_score > 0.8: | |
| bias = "Strongly Right" | |
| elif bias_score > 0.5: | |
| bias = "Moderately Right" | |
| elif bias_score > 0.2: | |
| bias = "Leaning Right" | |
| else: | |
| bias = "Neutral" | |
| return { | |
| "bias": bias, | |
| "bias_score": round(bias_score, 2), # Keep 2 decimal places | |
| "bias_percentage": abs(round(bias_percentage, 1)) | |
| } | |
| except Exception as e: | |
| logger.error(f"Error in bias analysis: {str(e)}") | |
| return { | |
| "bias": "Error", | |
| "bias_score": 0.0, | |
| "bias_percentage": 0 | |
| } | |