Evidence map›Paper›PMID 42687055›Full record

ArticleCulture, medicine and psychiatry2026

"I Really Feel Heard by AI": A Cultural Case Study of AI-Mediated Listening Across China and the UK.

Xin Zhan

Abstract readCase Reports
In one paragraph

Article in Culture, medicine and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Xin ZhanDepartment of Sociology, University of Cambridge, Cambridge, UK. xz434@cam.ac.uk.ORCID https://orcid.org/0009-0004-5580-1734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing use of generative AI for emotional support has prompted growing debate about the future of mental health care. This article suggests that such reliance is better understood not simply as a technological shift, but as symptomatic of a wider crisis in the politics of listening. This cultural case study examines the experiences of Lily, a 24-year-old Chinese migrant woman navigating emotional distress across uneven care infrastructures in China and the UK. Drawing on person-centred ethnography, it shows how AI chatbots come to function as provisional sites of care under conditions of precarity, gendered obligation, and moralised endurance. The analysis conceptualises these chatbot interactions as a care-patch: a temporary form of digital holding that emerges where human listening is scarce, delayed, or experienced as burdensome. Rather than treating AI use as a matter of technological adoption, the case situates AI-mediated listening within culturally specific moral relations of obligation and responsibility. In doing so, it reframes therapeutic automation as an index of the erosion of listening as a shared social good and redirects attention to the political and ethical challenge of rebuilding infrastructures of human listening capable of absorbing distress without extracting it, outsourcing it, or returning it as blame.

Indexed as

Mental Health ServicesPsychological DistressChinaFemaleGenerative Artificial IntelligenceHumansTransients and MigrantsUnited KingdomYoung AdultCareDigital mental healthGenerative AIListeningMigration

Identifiers

PMID42687055
PMCPMC13538232

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.