A Comprehensive Study on Addressing Trust Erosion in Multimedia in The Indian Context
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.3.05Keywords:
Algorithms, BNS, Deepfake, Disinformation, IPC, IT Act, Journalism, Law, Misinformation, Multimedia, TrustDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The widespread use of multimedia helps users to connect, create, and inform easily, but the consequences of inappropriate usage, including altered content, deepfakes, and misleading material, are severely damaging. It can undermine trust, influence public opinion, deceive people, go against Government rules and regulations, and even incite violence due to its inherent characteristic of being quick and widespread. Spreading illicit material, committing cyberbullying, and harassing individuals are a few cases of multimedia misuse. An integrated approach combining technology, digital literacy, critical thinking, guidelines, and timely legal reforms is the only possible solution to curb the complexity of multimedia misuse. The observations made in this paper advocate for stronger legislative measures and cross-disciplinary collaboration to address the evolving landscape of trust erosion.Abstract
How to Cite
Downloads
Similar Articles
- Sharada C, T N Ravi, S Panneer Arokiara, Lancaster sliced regressive keyword extraction based semantic analytics on social media documents , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Jayaganesh Jagannathan, Dr. Agrawal Rajesh K, Dr. Neelam Labhade-Kumar, Ravi Rastogi, Manu Vasudevan Unni, K. K. Baseer, Developing interpretable models and techniques for explainable AI in decision-making , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Nilay Shukla, Ketan Desai, Study on the right to education with special references to public private partnerships , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Srinithiya, K. Menaka, Optimized Hybrid Feature Selection Techniques for Detecting Iron Deficiency Anemia , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- J. Helan Shali Margret, N. Amsaveni, Application of Lotka’s law in Indian cytokine publications: A scientometric study based on web of science during 1998 TO 2022 , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- G GAYATHRI DEVI, Dr R Radha, Dark web exploitation of women and children: Understanding the phenomenon and combating its impact , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- B. Nivedetha, Water Quality Prediction using AI and ML Algorithms , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Annalakshmi D., C. Jayanthi, An asymmetric key encryption and decryption model incorporating optimization techniques for enhanced security and efficiency , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Susithra N, Rajalakshmi K, Ashwath P, Performance analysis of compressive sensing and reconstruction by LASSO and OMP for audio signal processing applications , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

