Evidence map›Paper›PMID 42510367›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Meaning Construction: Online Narratives of Supervisor-Postgraduate Relationships in Digital Communities.

Jingjing Zhou, Yushu Zhang, Yujie Dong, Lingli Xia, Yuxin Qin, Xiaoli Ye

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

6 authors.

Jingjing ZhouSchool of Education, South-Central Minzu University, Wuhan 430074, China.ORCID 0009-0004-2224-8450
Yushu ZhangInstitute of Higher Education, Anhui University, Hefei 230039, China.
Yujie DongInstitute of Higher Education, Anhui University, Hefei 230039, China.
Lingli XiaSchool of Education, Central China Normal University, Wuhan 430079, China.
Yuxin QinInstitute of Higher Education, Anhui University, Hefei 230039, China.
Xiaoli YeInstitute of Higher Education, Anhui University, Hefei 230039, China.ORCID 0009-0000-6820-5094

Funding

National Education Science Planning of the Ministry of Education of China DDA220344
6 · The paper itself

Abstract

As digital media become deeply embedded in postgraduate students' daily learning and social interactions, online narratives of supervisor-postgraduate relationships have emerged as a crucial means for them to express authentic experiences and seek emotional support. Adopting a sensemaking perspective, this study employs online ethnography and thematic analysis to investigate postgraduate students' narratives of supervisor-postgraduate relationships on a Douban group. The findings reveal four core thematic dimensions of these online narratives: identity formation, emotional interaction, experience sharing, and social connection. These dimensions help postgraduate students clarify their self-perception, release emotions, acquire practical experience, and establish a sense of group belonging, particularly in contexts where institutional support is insufficient. Online narratives essentially serve as a compensatory self-help channel for postgraduate students to cope with real-world challenges. They highlight structural shortcomings in offline supervisory governance and offer theoretical and practical insights to optimize supervisor-postgraduate relationships in the digital age.

Indexed as

digital communitydouban groupmeaning constructionnetnographysensemaking theorysupervisor–postgraduate relationshipthematic analysis

Identifiers

PMID42510367
PMCPMC13405747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.