Could AI algorithms hold China’s solution for global narrative on Tibet?
At the Second Xizang International Communication Conference in Lhasa, American media professional Zachary Lundquist, also known as Huang Hao and employed by the state-run China International Communications Group (CICG), stated that China needs to adapt to Western algorithms to improve its global narrative on Tibet. Lundquist argued that the primary obstacle to projecting a positive image of modern Tibet is not political hostility but the recommendation engines of Silicon Valley.

Briefing Summary
AI-generatedAt the Second Xizang International Communication Conference in Lhasa, American media professional Zachary Lundquist, also known as Huang Hao and employed by the state-run China International Communications Group (CICG), stated that China needs to adapt to Western algorithms to improve its global narrative on Tibet. Lundquist argued that the primary obstacle to projecting a positive image of modern Tibet is not political hostility but the recommendation engines of Silicon Valley. He explained that these algorithms, by learning associations over time, often direct Western users searching for "Tibet" towards a pre-existing, politicized narrative, creating an information bubble that silences other viewpoints. Lundquist's assessment was delivered to over 300 media professionals, government officials, and academics.
Article analysis
Model · rule-basedKey claims
4 extractedAlgorithms learn associations over time, creating an information cocoon where rational voices are drowned out.
Algorithms steer Western users searching "Tibet" towards a pre-existing, highly politicized narrative.
The biggest barrier to projecting an accurate image of modern Tibet is Silicon Valley's recommendation engines, not political hostility.
China needs to "dance" with Western algorithms to win the global narrative war over Tibet.