This post discusses the bottleneck of Chinese language data for LLM training and proposes a practical multi-source pipeline. It details how to scrape clean, structured data from key Chinese social platforms like Weibo, Bilibili, and Xiaohongshu to enrich training datasets.
This guide addresses the frustration with Twitter/X data access paywalls, offering a roadmap for effective and legal scraping in 2026. It aims to empower developers, researchers, and marketers to extract crucial platform data without breaking the bank.
The author outlines a practical, structured approach to auditing audience quality for influencer marketing, aiming to prevent wasted spend by focusing on believable engagement signals rather than relying on superficial metrics or "fake-AI" solutions. The post details how to build this audit using JavaScript and Python with public social data.