social-media-intelligence

# Social media intelligence Systematic approaches for monitoring, analyzing, and investigating social media for journalism. ## When to activate - Tracking how a story spreads across platforms - Investigating potential coordinated inauthentic behavior - Monitoring breaking news across social platforms - Analyzing account networks and relationships - Detecting bot activity or manipulation campaigns - Building evidence trails for digital investigations - Archiving social content before deletion ## Real-time monitoring ### Multi-platform tracker ```python from dataclasses import dataclass, field from datetime import datetime from typing import List, Optional, Dict from enum import Enum import hashlib class Platform(Enum): TWITTER = "twitter" # X since 2023; "twitter" retained for legacy data FACEBOOK = "facebook" INSTAGRAM = "instagram" TIKTOK = "tiktok" YOUTUBE = "youtube" REDDIT = "reddit" THREADS = "threads" BLUESKY = "bluesky" MASTODON = "mastodon" TELEGRAM = "telegram" @dataclass class SocialPost: platform: Platform post_id: str author: str content: str timestamp: datetime url: str engagement: Dict[str, int] = field(default_factory=dict) media_urls: List[str] = field(default_factory=list) archived_urls: List[str] = field(default_factory=list) content_hash: str = "" def __post_init__(self): # Hash content for duplicate detection self.content_hash = hashlib.md5( ...