Huu Dat Tran Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

University of Central Arkansas

faculty

2 h-index 15 pubs 28 cited

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Biography and Research Information

OverviewAI-generated summary

Huu Dat Tran's research focuses on understanding public perception and media influence across various platforms and topics. His work has investigated how social media, such as Twitter and TikTok, shapes political discourse and public opinion, particularly concerning events like the 2020 US Presidential Election and policy debates around platforms like TikTok. Tran also examines the relationship between media diversity, public knowledge, and xenophobia, as well as how message formats and mood influence the effectiveness of environmental labels. His scholarship extends to self-presentation and self-esteem on social media, and the connection between knowledge of the media industry and media trust in different governmental systems. With an h-index of 2 and 28 citations across 15 publications, Tran's work contributes to the fields of communication, political science, and social psychology.

Metrics

  • h-index: 2
  • Publications: 15
  • Citations: 28

Selected Publications

  • “What in the World!”: A Computational and Quantitative Content Analysis of International News Diversity in the US 2018–2022 (2026) DOI
  • Using TikTok as a Search Engine: Affordances, Perceived Credibility, and Evaluative Actions (2025) DOI
  • How Single vs. Multiple-Statement Fact-Checking and Partisan Identity Influence Individuals’ Trust in Counter-Attitudinal Political Fact-Checks (2025) DOI

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