LabCompass

Haifeng Huang

Social Sciences · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2006
Media Influence and PoliticsSocial Media and PoliticsMisinformation and Its ImpactsElectoral Systems and Political ParticipationChina's Socioeconomic Reforms and Governance

Publications

86

Citations

2,111

Est. group size

—

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

This researcher's political science work focuses on public opinion, political trust, and propaganda in authoritarian contexts, especially China, along with studies on misinformation and how people can be helped to resist it. Note that the publication list also contains several unrelated items (on biomedical AI models, waste management policy, and vascular disease) that appear to be bibliographic mismatches rather than this person's actual output, so students should verify authorship of individual papers before relying on this profile.

Political trust and public opinion in authoritarian regimesGovernment propaganda and censorshipOnline misinformation and interventionsChina's politics and governanceSurvey methodology and social desirability bias

Publication counts have fluctuated over the last decade, with a dip around 2019-2020 and 2023, but recent years (2024-2025) show a rebound in output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
2017: 11 publications11172018: 7 publications182019: 2 publications192020: 3 publications202021: 8 publications212022: 5 publications22232024: 6 publications242025: 8 publications252026: 1 publication26
Recent publications
Publishes in
  • Harvard Dataverse×8
  • SSRN Electronic Journal×7
  • CSR, sustainability, ethics & governance×7
  • Sustainability×3
  • Perspectives on Politics×3
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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