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Mr.Sidharth Sharma
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Abstract : Misinformation has been a persistent and detrimental phenomenon in our society in many ways, including individuals' physical health and economic security. With the advent of short video platforms and associated applications, dissemination of multi-modal misinformation, including images, texts, audios, and videos, have increased these issues. The advent of generative AI models such as ChatGPT and Stable Diffusion has further enhanced the complexity, providing give rise to Artificial Intelligence Generated Content (AIGC) and posing new challenges in the detection and mitigation of misinformation. Therefore, the conventional methods of misinformation detection and intervention have proved to be insufficient in this new paradigm. This paper examines the challenge posed by AIGC in the context of misinformation. It analyzes the problem from a psychological and societal point of view, and investigates the subtle manipulation traces in AIGC at signal, perceptual, semantic, and human levels. Through examining manipulation traces like signal manipulation, semantic inconsistency, logical incoherence, and psychological strategies, our goal is to address AI-generated misinformation and present a conceptual design of systematic explainable solution. Finally, we hope this paper will provide useful insights into the fight against misinformation, especially in the age of AIGC.
Keyword AI- Generated Content (AIGC), Multimodal, Generative AI Models Misinformation Detection.
Reference:
  1. Jasper Gnana Chandran, J., Karthick, R., Rajagopal, R., & Meenalochini, P. (2023). Dual-channel capsule generative adversarial network optimized with golden eagle optimization for pediatric bone age assessment from hand X-ray image. International Journal of Pattern Recognition and Artificial Intelligence, 37(02), 2354001.
  2. Karthick, R., Prabha, M., Sabapathy, S. R., Jiju, D., & Selvan, R. S. (2023, October). Inspired by social-spider behavior for microwave filter optimization, swarm optimization algorithm. In 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)(Vol. 1, pp. 1-4). IEEE.
  3. Vijayalakshmi, S., Sivaraman, P. R., Karthick, R., & Ali, A. N. (2020, September). Implementation of a new Bi-Directional Switch multilevel Inverter for the reduction of harmonics. In IOP Conference Series: Materials Science and Engineering(Vol. 937, No. 1, p. 012026). IOP Publishing.
  4. Kiruthiga, B., Karthick, R., Manju, I., & Kondreddi, K. (2024). Optimizing harmonic mitigation for smooth integration of renewable energy: A novel approach using atomic orbital search and feedback artificial tree control. Protection and Control of Modern Power Systems, 9(4), 160-176.
  5. Sulthan Alikhan, J., Miruna Joe Amali, S., & Karthick, R. (2024). Deep Siamese domain adaptation convolutional neural network-based quaternion fractional order Meixner moments fostered big data analytical method for enhancing cloud data security. Network: Computation in Neural Systems, 1-28.
  6. Sakthi, P., Bhavani, R., Arulselvam, D., Karthick, R., Selvakumar, S., & Sudhakar, M. (2022, September). Energy efficient cluster head selection and routing protocol for WSN. In AIP Conference Proceedings(Vol. 2518, No. 1). AIP Publishing.
  7. Aravindaguru, I., Arulselvam, D., Kanagavalli, N., Ramkumar, V., & Karthick, R. (2022, September). Space cloud in cubesat-Consigning expert system to space. In AIP Conference Proceedings(Vol. 2518, No. 1). AIP Publishing.
  8. Karthick, R., Prabaharan, A. M., & Selvaprasanth, P. (2019). A Dumb-Bell shaped damper with magnetic absorber using ferrofluids. International Journal of Recent Technology and Engineering (IJRTE), 8.
  9. Selvan, R. S., Wahidabanu, R. S. D., Karthick, B., Sriram, M., & Karthick, R. (2020). Development of Secure Transport System Using VANET. TEM (H-Index), 82.
  10. Karthick, R., & Sundararajan, M. (2018). Optimization of MIMO Channels Using an Adaptive LPC Method. International Journal of Pure and Applied Mathematics, 118(10), 131-135.
  11. Lopez, S., Sarada, V., Praveen, R. V. S., Pandey, A., Khuntia, M., & Haralayya, D. B. (2024). Artificial intelligence challenges and role for sustainable education in india: Problems and prospects. Sandeep Lopez, Vani Sarada, RVS Praveen, Anita Pandey, Monalisa Khuntia, Bhadrappa Haralayya (2024) Artificial Intelligence Challenges and Role for Sustainable Education in India: Problems and Prospects. Library Progress International, 44(3), 18261-18271.
  12. Kumar, N., Kurkute, S. L., Kalpana, V., Karuppannan, A., Praveen, R. V. S., & Mishra, S. (2024, August). Modelling and Evaluation of Li-ion Battery Performance Based on the Electric Vehicle Tiled Tests using Kalman Filter-GBDT Approach. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)(pp. 1-6). IEEE.
  13. Sharma, S., Vij, S., Praveen, R. V. S., Srinivasan, S., Yadav, D. K., & VS, R. K. (2024, October). Stress Prediction in Higher Education Students Using Psychometric Assessments and AOA-CNN-XGBoost Models. In 2024 4th International Conference on Sustainable Expert Systems (ICSES)(pp. 1631-1636). IEEE.
  14. Yamuna, V., Praveen, R. V. S., Sathya, R., Dhivva, M., Lidiya, R., & Sowmiya, P. (2024, October). Integrating AI for Improved Brain Tumor Detection and Classification. In 2024 4th International Conference on Sustainable Expert Systems (ICSES)(pp. 1603-1609). IEEE.

Anuprathibha, T., Praveen, R. V. S., Jayanth, H., Sukumar, P., Suganthi, G., & Ravichandran, T. (2024, October). Enhancing Fake Review Detection: A Hierarchical Graph Attention Network Approach Using Text and Ratings. In 2024 Global Conference on Communications and Information Technologies (GCCIT) (pp. 1-5). IEEE.