Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jaiswal, Saakshi; Varghese, Nisha; Sridevi, R. Title A name given to the resource Truth Twisters: Large Language Models Beating Humans at Fake News Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 9th International Conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CSITSS67709.2025.11294395" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSITSS67709.2025.11294395</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031437306?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031437306?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jaiswal S., Christ University, Department of Computer Science, Bengaluru, India; Varghese N., Christ University, Department of Computer Science, Bengaluru, India; Sridevi R., Christ University, Department of Computer Science, Bengaluru, India Description An account of the resource Misinformation has become a serious global problem, affecting the process of referendum and decision-making in areas such as politics, healthcare, and social movements. With the rise of advanced artificial intelligence, especially large language models (LLM), the scenario of misinformation building has changed dramatically. These models, which are known to generate coherent and human reactions, can also be used to generate reliable but false or harmful materials. This study examines the dual nature of LLM and highlights its possible misuse to create misinformation that can evade the identity mechanism. The objective of this article is to explain how LLMs can be manipulated through prompt engineering and vocabulary attacks, where adversaries use obfuscated or subtly altered language to bypass content filters and safety guidelines. Despite being fine-tuned for ethical alignment, many LLMs can still be 'jailbroken' - a process by which users modify prompts to elicit inappropriate or restricted outputs. Through a series of controlled experiments, we demonstrate sensitivity to such adverse information of state -of -the -art LLM. These findings create serious concerns about the deployment of LLM in an open-wheel environment. Although these models offer immense possibilities of innovation and productivity, their sensitivity to manipulation outlines the immediate need for strong safety measures. We conclude by discussing moral implications and proposing strategies to reduce abuse, such as better adverse training, strict deployment protocols, and continuous monitoring to balance between safety and innovation in AI. 2025 IEEE. Subject The topic of the resource adversarial attacks; content safety; jailbreaking; LLMs; misinformation; NLP Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833158894-6; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online