When geopolitics shapes what Chinese international students feel able to say

Updated Sep 07, 2026

Students can find their language and identity interpreted through geopolitical assumptions. Gengqi Xiao and Jing Yu examine this in interviews about Chinese international students’ experiences in the United States.

What the interviews reveal

The study involved 12 students at one predominantly white, research-intensive Midwestern university in 2024–25. The researchers’ definition included students from mainland China, Taiwan and a Chinese-heritage student from Canada. This is a diverse group, not a single national viewpoint.

Participants described accent- and name-based hierarchies, adapting language or concealing nationality for protection, and being treated as representatives of China in political discussions. Accounts also included fear of harassment, solidarity and deliberate efforts to negotiate identity.

Thematic analysis connects these experiences to racialised and politicised language expectations. The small, voluntary interview sample cannot estimate prevalence or establish effects on UK student survey response. The study did not test whether text-analysis software can detect self-censorship.

An editorial application

Review whether teaching discussions invite individual perspectives without expecting a student to explain or defend a country. Ask students which conditions help them contribute, using confidential routes appropriate to the sensitivity of the topic.

When interpreting student feedback, distinguish what people have actually reported from explanations for missing responses. Silence alone cannot establish fear, disengagement or satisfaction. Follow-up should make room for different experiences without presuming a shared political identity.

Reference

Gengqi Xiao and Jing Yu. “Politicized identity and language practices: Understanding Chinese international students’ language ideologies amid U.S.-China geopolitical tensions.” Higher Education. DOI: 10.1007/s10734-026-01623-3.

Reviewed 7 September 2026 against the full paper. This revision clarifies the sample and removes unsupported claims about survey non-response and detecting self-censorship.