When geopolitics shapes what Chinese international students feel able to say

By Student Voice AI

Published Feb 28, 2026 · Updated Feb 28, 2026

At Student Voice AI, we see how quickly campus climate can shift, and how that shift shows up in student voice data, especially in open-text comments about belonging, safety, and being listened to. In a recent paper in Higher Education, Gengqi Xiao and Jing Yu examine how U.S.-China geopolitical tensions shape Chinese international students’ language practices and identity negotiations. For UK higher education teams, the paper is a reminder that what students say, and what they choose not to say, can be shaped by perceived risk and visibility, not only by “satisfaction” or teaching quality. [Paper Source]

Context and research question

Universities are international spaces, but they are not insulated from global politics. When geopolitics becomes part of everyday public discourse, international students can find that their accents, names, and participation are interpreted through assumptions about national identity. That matters for student experience work because the consequences are practical: participation in class, willingness to seek help, and confidence leaving honest feedback can all be affected.

Xiao and Yu use a raciolinguistic perspective to ask how U.S.-China geopolitical tensions influence Chinese international students’ (CISs) understanding of language and identity, and how those tensions shape what happens in academic and social spaces. The study draws on qualitative interviews with 12 CISs at a large Midwestern university in the United States, analysed through thematic analysis.

Key findings

First, the paper shows how linguistic features become status signals. Students described accent- and name-based hierarchies where Western-aligned speech is granted credibility, while Chinese linguistic features are treated as “other”. In practice, this means that the same contribution can be heard differently depending on who makes it, and how their language is perceived.

Second, the findings highlight protective adaptation. Students adopted strategies to reduce visibility and risk, including concealing their national identity, selectively code-switching, and performing “Americanness”. These strategies can be rational, but they come with a student voice cost: when participation feels unsafe, students contribute less, ask fewer questions, and may avoid putting specific experiences into written feedback.

"Students adopt adaptive strategies, such as concealing their national identity, selectively code-switching, and performing “Americanness,” to protect themselves in academic and social spaces."

Third, the authors describe how macro-level tensions can become micro-level experiences. Geopolitics shows up in classrooms through tokenisation and in public life through harassment and fear. Tokenisation matters because it turns some students into representatives for a country or a political position, rather than ordinary members of a cohort. Harassment and fear matter because they change day-to-day routines, and they shape which spaces students avoid.

Finally, the study emphasises that politicised identity is not just background context. Language performance is evaluated through a geopolitical lens, which can constrain participation and well-being. The paper also notes moments of critical reflexivity, solidarity, and resilience, but the core implication for institutions is clear: inclusion work has to anticipate these dynamics, not only respond after harm has occurred.

Practical implications

For UK higher education teams using module evaluations, NSS-style surveys, or targeted international student feedback, there are practical ways to translate these findings into action.

Treat “speaking up” as a safety issue as well as an engagement issue. If students may be judged through accent, name, or geopolitics, build psychologically safe routines for participation in seminars and group work, and make it explicit that students are not expected to “represent” a nation or group.
Use student voice questions that capture mechanism, not only sentiment. Open-text prompts that ask what made a space feel safe or unsafe, and what changed that feeling, are more actionable than generic satisfaction items.
Design feedback channels for trust. Where risk is perceived, anonymity, clear escalation routes, and visible “you said, we did” loops matter. If students believe reporting leads to exposure or inaction, they will self-censor.
Analyse inclusion signals by cohort where governance allows. Segmenting open-text feedback by international status, programme, and other characteristics can reveal patterns that disappear in averages.
Connect qualitative and scaled measures. Short belonging or safety items can show direction, but free-text comments often reveal the mechanism, for example tokenisation in class, peer exclusion, or fear of harassment.

Student Voice Analytics supports this kind of work by categorising inclusion and belonging themes in open-text feedback, and by helping teams track how those themes shift over time across cohorts.

FAQ

Q: How can we use surveys to understand whether international students feel safe to speak up?

A: Ask about specific contexts, not only overall satisfaction. In addition to a short belonging or safety item, include open-text prompts about seminars, group work, and staff interactions, for example “What makes it easier or harder to contribute in teaching sessions?” and “Have recent events outside the university affected your sense of safety or belonging on campus?”. Make confidentiality clear, and close the loop with visible actions so students can see that sensitive feedback leads to change.

Q: What should we be cautious about when applying this study to a UK institution?

A: The study draws on interviews with a small number of students in a single US setting, so it does not estimate prevalence. Its value is in surfacing mechanisms, how geopolitics and racialised perceptions can shape language, identity, and participation. For UK decision-making, treat the findings as hypotheses to test against your own evidence, including pulse surveys, open-text comments, incident reporting trends, and targeted follow-up conversations.

Q: What does this mean for analysing open-text student comments at scale?

A: It highlights that silence can be a signal. If students feel exposed or tokenised, they may avoid leaving identifiable detail in comments, or stop responding altogether. Analysing open-text at scale helps you spot recurring themes (belonging, safety, discrimination, classroom climate), but it works best when paired with segmentation and careful interpretation of who is responding, who is not, and what kinds of experiences may be under-reported.

References

[Paper Source]: Gengqi Xiao, Jing Yu "Politicized identity and language practices: Understanding Chinese international students’ language ideologies amid U.S.-China geopolitical tensions" DOI: 10.1007/s10734-026-01623-3

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