Evidence map›Paper›PMID 41981123›Full record

ArticleScientific reports2026

The effect of social media information on college major choices in China: a difference-in-differences analysis.

Lijing Ma, Bo Liu, Yilong Wu, Qingsong Li, Chuanhua Zeng

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Lijing MaSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Bo LiuSchool of Marxism, Sichuan Technology and Business University, Chengdu, 611745, China. liub1012@163.com.
Yilong WuSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Qingsong LiSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Chuanhua ZengSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.

Funding

Education and Teaching Reform Projects from Xihua University xcjz2025010
6 · The paper itself

Abstract

The choice of a college major in China is a high-stakes decision often plagued by information asymmetry. This study provides a large-scale causal analysis of how social media influencers impact these choices. Leveraging the "Zhang Xuefeng Phenomeno", an event where a prominent influencer vehemently discouraged Journalism and Communication majors, as a natural experiment, we employ a difference-in-differences (DID) design on a comprehensive dataset of university admission ranks from 2017 to 2023, covering over 3.3 million observations. Our findings reveal that the influencer's negative signal caused the admission rank for Journalism and Communication to worsen by a substantial 13.1% across all institutions and by 24.7% at elite Double First-Class Initiative universities. A significant asymmetric response is identified, as the negative impact is nearly twice the magnitude of the positive effect observed for the endorsed Computer Science major, suggesting that student decisions are driven more by loss aversion than by the pursuit of opportunity. The robustness of these estimates is confirmed using event-study approaches and placebo tests in untargeted fields such as Philosophy and History. Furthermore, an exploratory analysis offers suggestive evidence of positive spillover effects on related practical fields, such as Transportation. A triple-difference (DDD) analysis reveals this impact is significantly weaker in provinces with higher per capita GDP. This research provides robust evidence that social media influencers have become powerful new players in the educational landscape, capable of significantly influencing students' intentions to choose a major. It also highlights novel challenges for policymakers in mitigating information asymmetry and optimizing human capital allocation to support the development of new quality productive forces.

Indexed as

Choice BehaviorMedia ExposureSocial MediaStudentsUniversitiesChinaDigital MediaHumans

Identifiers

PMID41981123
PMCPMC13234011

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.