Rajesh Kumar Shukla
Biographic Data
| ID | 8968358 |
|---|---|
| NAME | Rajesh Kumar Shukla |
| GIVEN NAMES | Rajesh Kumar |
| FAMILY NAME | Shukla |
| SIGNATURE | SHUKLA R K |
| AFFILIATIONS | IFTM University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Deep-Fakes and Fractured Realities: Reconfiguring Trust in Digital Media
The paper is a critical analysis of the way artificial intelligence-generated deep-fakes undermine authenticity in media, journalistic credibility, platform regulation, and democratic discourse. It identifies gap in current literature that missing a comprehensive theoretical framework, which would describe the systemic and multi-layered erosion of trust created by synthetic media. To address this gap, the article introduces Fractured Reality Fram…
Digital Rumors, Cognitive Trust, and News Verification Behavior: A Quantitative Assessment of Fake News Consumption Among Journalism Students in Delhi-NCR Universities
Cognitive and behavioral reactions to fake news by journalism students is a little-studied aspect of media literacy scholarship, especially in a time when fake news is proliferating and increasingly pervasive. This study is a quantitative analysis of the interaction of fake news exposure, digital rumors consumption, cognitive trust formation, peer influence, social media dependency, and digital literacy in influencing news verification behavior a…
Dimensionality Reduction of Spatio-Temporal Data: A Comprehensive Literature Review
Spatio-temporal data has become increasingly abundant due to the proliferation of sensors, mobile devices, satellites, and smart infrastructures. Such data, encompassing both spatial and temporal dimensions, is inherently high-dimensional, complex, and often redundant. Managing, analyzing, and extracting meaningful insights from spatio-temporal datasets poses significant computational and interpretational challenges. Dimensionality reduction tech…
No prominent works on this page.
Dimensionality Reduction of Spatio-Temporal Data: A Comprehensive Literature Review
Spatio-temporal data has become increasingly abundant due to the proliferation of sensors, mobile devices, satellites, and smart infrastructures. Such data, encompassing both spatial and temporal dimensions, is inherently high-dimensional, complex, and often redundant. Managing, analyzing, and extracting meaningful insights from spatio-temporal datasets poses significant computational and interpretational challenges. Dimensionality reduction tech…
Deep-Fakes and Fractured Realities: Reconfiguring Trust in Digital Media
The paper is a critical analysis of the way artificial intelligence-generated deep-fakes undermine authenticity in media, journalistic credibility, platform regulation, and democratic discourse. It identifies gap in current literature that missing a comprehensive theoretical framework, which would describe the systemic and multi-layered erosion of trust created by synthetic media. To address this gap, the article introduces Fractured Reality Fram…
Digital Rumors, Cognitive Trust, and News Verification Behavior: A Quantitative Assessment of Fake News Consumption Among Journalism Students in Delhi-NCR Universities
Cognitive and behavioral reactions to fake news by journalism students is a little-studied aspect of media literacy scholarship, especially in a time when fake news is proliferating and increasingly pervasive. This study is a quantitative analysis of the interaction of fake news exposure, digital rumors consumption, cognitive trust formation, peer influence, social media dependency, and digital literacy in influencing news verification behavior a…
Misinformation and Its Impacts (2 works) · Social media (2 works) · Social Media and Politics (2 works) · Artificial Intelligence (1 works) · Cognition (1 works) · Computer Science (1 works) · Critical theory (1 works) · Data mining (1 works) · Data reduction (1 works) · Democracy (1 works)