How to Measure Geographic Bias in Search Results with Python & Massive Proxies

Описание: Ever wondered why search results look different in New York vs. Houston? The web isn't a single, universal space—it's fragmented by geography, algorithms, and commercial interests. In this tutorial, we'll show you how to measure this "Splinternet effect" using Python and Massive ISP proxies.

What You'll Learn:
✅ Why the web shows different results based on your location
✅ How to use residential and ISP proxies to simulate searches from multiple cities
✅ Step-by-step Python code to collect and compare search results across locations
✅ How to quantify geographic bias using Average Precision correlation
✅ Real-world applications for SEO, competitive intelligence, and market research

Read the complete guide with detailed methodology and analysis:
https://www.joinmassive.com/blog/trac...

Whether you're an SEO specialist, data scientist, or market analyst, this experiment will help you understand how location affects the digital world—and how to turn that insight into a strategic advantage.