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 Article Faculty Publications -Articles 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 Sethurajan, Monikka Reshmi; K, Natarajan Title A name given to the resource FC-Kit: an intelligent fact-checking system for preventing fake news spread in social media through active plugins 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 Journal of Cyber Security Technology; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/23742917.2025.2572160" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/23742917.2025.2572160</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018963858?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018963858?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 Sethurajan M.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India; K N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India Description An account of the resource The rapid expansion of social media has intensified the spread of misinformation, threatening public trust, informed decision-making and societal stability. This paper introduces the Fact-Checking Kit (FC-Kit), a plugin-based, real-time misinformation detection framework designed for seamless integration into social media platforms. At its core, the system employs the proposed CanineNet News Sentinel (CnNS) model, which incorporates advanced algorithms for detecting fake news while also assessing bias indicators, identifying clickbait headlines, detecting poor text framing and calculating an article credibility rate. Experimental evaluations on benchmark datasets Twitter and Twitch demonstrate that FC-Kit achieves 99% detection accuracy and reduces computational time by 41.4% compared to state-of-the-art methods. Unlike conventional fact-checking systems, FC-Kit actively tracks the news dissemination chain, enabling early intervention before misinformation gains traction. Its modular plugin architecture supports real-time analysis, ensuring media literacy promotion and fostering critical thinking among users. By combining content credibility scoring with advanced detection features, FC-Kit offers a scalable and practical solution for social media platforms, fact-checking organizations and researchers committed to combating online misinformation. This work advances the state-of-the-art in misinformation detection and emphasizes the necessity of embedding automated fact-checking tools directly into social media platforms. 2025 Informa UK Limited, trading as Taylor &amp; Francis Group. Subject The topic of the resource CanineNet News Sentinel; deep learning; fact-checking; fake news detection; misinformation; Natural Language Processing (NLP); social media Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Relation A related resource ISSN: 23742917; Language A language of the resource English Type The nature or genre of the resource Article 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