Md Zainal Abedin
Biographic Data
| ID | 6957225 |
|---|---|
| NAME | Md Zainal Abedin |
| GIVEN NAMES | Md Zainal |
| FAMILY NAME | Abedin |
| SIGNATURE | ABEDIN M Z |
| AFFILIATIONS | Bangladesh University of Business and Technology |
| ORCID | 0000-0003-1898-9569 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Unveiling the Theoretical Foundations and Practical Applications of Key Conceptual Research Models in Marketing, Management, Technology, and Information Systems
This systematic review aims to uncover the theoretical foundations and practical applications of prominent research models within the domains of marketing, management, technology, and information systems. The study examines a comprehensive set of 143 articles, from which 106 peer-reviewed sources were meticulously selected for analysis. Utilizing both qualitative and quantitative approaches, the review integrates findings from systematic reviews,…
Advanced Detection and Forecasting of Fake News on Social Media Platforms Using Natural Language Processing and Artificial Intelligence
In the stage of pervasive digital communication, the rapid dissemination of fake news via social media platforms poses significant challenges to public discourse, societal trust, and institutional integrity. Fake news, characterized by fabricated or misleading content, spreads rapidly across platforms like Facebook, Twitter, WhatsApp, influencing political outcomes and public perceptions. Traditional methods of manual fact-checking cannot keep pa…
No prominent works on this page.
Unveiling the Theoretical Foundations and Practical Applications of Key Conceptual Research Models in Marketing, Management, Technology, and Information Systems
This systematic review aims to uncover the theoretical foundations and practical applications of prominent research models within the domains of marketing, management, technology, and information systems. The study examines a comprehensive set of 143 articles, from which 106 peer-reviewed sources were meticulously selected for analysis. Utilizing both qualitative and quantitative approaches, the review integrates findings from systematic reviews,…
Advanced Detection and Forecasting of Fake News on Social Media Platforms Using Natural Language Processing and Artificial Intelligence
In the stage of pervasive digital communication, the rapid dissemination of fake news via social media platforms poses significant challenges to public discourse, societal trust, and institutional integrity. Fake news, characterized by fabricated or misleading content, spreads rapidly across platforms like Facebook, Twitter, WhatsApp, influencing political outcomes and public perceptions. Traditional methods of manual fact-checking cannot keep pa…
Artificial Intelligence (1 work) · Computer Science (1 work) · Data science (1 work) · History (1 work) · History (1 work) · Misinformation and Its Impacts (1 work) · Natural (archaeology (1 work) · Natural language processing (1 work) · Social media (1 work) · World Wide Web (1 work)