Evidence map›Paper›PMID 41477108›Full record

ArticleSocial sciences & humanities open2025

Anti-Asian sentiment on social media and mental health among Asian and Asian American populations in the United States during the COVID-19 pandemic: A systematic literature review.

Chulwoo Park, Chelsea Gamboa Lingao

Abstract read
In one paragraph

Article in Social sciences & humanities open, 2025. 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

2 authors.

Chulwoo ParkDepartment of Sociology, Anthropology, and Public Health, University of Maryland Baltimore County, Baltimore, MD, 21250, United States.ORCID 0000-0003-0667-6549
Chelsea Gamboa LingaoDepartment of Public Health and Recreation, San José State University, San Jose, CA, 95192, United States.

Funding

Language Identity and Mental Health Disparities among Multilingual 1.5 Generation Asian/Asian American Immigrant Young Adults: A Mixed Methods StudyR16GM150715 · NIGMS · SAN JOSE STATE UNIVERSITY · PI PARK, CHULWOO · 2023 to 2025
$549k
NIGMS NIH HHS R16 GM150715
6 · The paper itself

Abstract

Asian and Asian American populations in the United States represent the fastest-growing group, with an 81% increase between 2000 and 2019. During the COVID-19 pandemic, they were targeted by anti-Asian racism, leading to experiences of discrimination, stigmatization, verbal harassment, and physical attacks. The purpose of this study was to conduct a systematic literature review to understand how anti-Asian sentiment, particularly through social media, affected the mental health of Asian populations. We established six key areas as eligibility criteria: (1) Asian populations, (2) the COVID-19 pandemic, (3) racism and discrimination, (4) mental health, (5) the role of social media, and (6) the United States. Using five online databases-PubMed, Web of Science, CINAHL, ScienceDirect, and OpenGrey-we applied the PRISMA 2020 flow diagram, which resulted in 15 articles for review. A total of four themes emerged. First, during the COVID-19 pandemic, Asian and Asian American populations experienced high rates of racial prejudice and discrimination, which were widely discussed on social media. Second, there was no geographic pattern distinguishing rural and urban areas in terms of anti-Asian hate incidents. Third, prejudice and discrimination had a negative impact on mental health. Lastly, social media served as both a platform for spreading and combating anti-Asian hate crimes. Future studies should examine how social media particularly influences offline hate crimes and explore culturally tailored interventions to reduce racism and discrimination among Asian and Asian American populations, ultimately promoting community resilience.

Indexed as

Anti-Asian sentimentCOVID-19Discrimination and racismMental healthSocial mediaXenophobia

Identifiers

PMID41477108
PMCPMC12753001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.