Hamid Keshavarz
Biographic Data
| ID | 7597586 |
|---|---|
| NAME | Hamid Keshavarz |
| GIVEN NAMES | Hamid |
| FAMILY NAME | Keshavarz |
| SIGNATURE | KESHAVARZ H |
| AFFILIATIONS | Shahid Beheshti University |
| ORCID | 0000-0002-5589-238X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Generative AI and health misinformation
Generative AI transforms the health misinformation landscape by lowering barriers to creation and exploiting platform and behavioral dynamics. Current mitigation strategies-spanning technical, sociotechnical, and governance layers-are promising but remain nascent and unevenly evaluated. Future work must prioritize multimodal, multilingual, and health‐specific verification, as well as real‐world testing of interventions, to build equitable and res…
Assessing electronic readiness in university libraries
The current research aimed to develop and evaluate a fundamental and international model for assessment of electronic readiness (e-readiness) in university libraries, following an extensive investigation of existing theoretical frameworks at national, international and organizational levels. Documentary research and analytical survey were the methods used in this study. Considering the factor loading using CFA and path analysis, the weights of ev…
No prominent works on this page.
Assessing electronic readiness in university libraries
The current research aimed to develop and evaluate a fundamental and international model for assessment of electronic readiness (e-readiness) in university libraries, following an extensive investigation of existing theoretical frameworks at national, international and organizational levels. Documentary research and analytical survey were the methods used in this study. Considering the factor loading using CFA and path analysis, the weights of ev…
Generative AI and health misinformation
Generative AI transforms the health misinformation landscape by lowering barriers to creation and exploiting platform and behavioral dynamics. Current mitigation strategies-spanning technical, sociotechnical, and governance layers-are promising but remain nascent and unevenly evaluated. Future work must prioritize multimodal, multilingual, and health‐specific verification, as well as real‐world testing of interventions, to build equitable and res…
Artificial Intelligence in Healthcare and Education (1 work) · Biostatistics (1 work) · Business (1 work) · Computer Science (1 work) · Corporate governance (1 work) · Cronbach's alpha (1 work) · E-Government and Public Services (1 work) · Ethics and Social Impacts of AI (1 work) · Exploratory factor analysis (1 work) · Generative grammar (1 work)