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Muhammad Rizqullah Ramadhan

Biographic Data

ID6673481
NAMEMuhammad Rizqullah Ramadhan
GIVEN NAMESMuhammad Rizqullah
FAMILY NAMERamadhan
SIGNATURERAMADHAN M R
AFFILIATIONSBinus University
ORCID0009-0005-2207-2253
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Content over appearance

    Open Access•Indra Prawira, Muhammad Rizqullah Ramadhan et al.•ARTICLE•Media International Australia•2026•References: 1

    This study examined the Indonesian youth's perceptions of the trustworthiness of artificial intelligence (AI) news presenters. The theoretical framework employed is cognitive psychology and journalistic ethics, and data were obtained via a questionnaire from 120 high school students. Instead of traditional statistical analysis, this study utilized a proposed interpretable machine learning frameworks that benefit from offering more detailed analys…

No prominent works on this page.

  • Content over appearance

    Open Access•Indra Prawira, Muhammad Rizqullah Ramadhan et al.•ARTICLE•Media International Australia•2026•References: 1

    This study examined the Indonesian youth's perceptions of the trustworthiness of artificial intelligence (AI) news presenters. The theoretical framework employed is cognitive psychology and journalistic ethics, and data were obtained via a questionnaire from 120 high school students. Instead of traditional statistical analysis, this study utilized a proposed interpretable machine learning frameworks that benefit from offering more detailed analys…

CLARITY (1 work) · Computational and Text Analysis Methods (1 work) · Content analysis (1 work) · Context (archaeology (1 work) · Credibility (1 work) · Ethics and Social Impacts of AI (1 work) · Indonesian (1 work) · Misinformation and Its Impacts (1 work) · Perception (1 work) · Trustworthiness (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae