International Journal For Multidisciplinary Research

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VerifyIt: A Multi-Modal Misinformation and Fake News Detection System

Author(s) Mr. Vivek Bhagwat, Mr. Smit Borkhetaria, Devansh Sanghvi, Karan Parelkar, Shwetambari Borade
Country India
Abstract The rapid proliferation of misinformation and fake news across digital platforms has become a major societal concern, affecting public opinion, democratic processes, healthcare decisions, and economic stability. The scale, speed, and complexity of online information dissemination make traditional manual
fact-checking approaches inadequate. In response to this challenge, this paper presents VerifyIt, a multi-modal misinformation and fake news detection system designed to provide automated,scalable, and explainable verification of digital content in real time. VerifyIt integrates Large Language Models (LLMs), Natural
Language Processing (NLP) techniques, semantic similarity analysis, and real-time evidence retrieval to assess the credibility of user-submitted claims. The system supports multiple input modalities, including text, images, URLs, and audio, enabling verification across diverse digital content formats. Non-text inputs are transformed into standardized textual representations using Optical Character Recognition (OCR), speech-to-text conversion, and web scraping mechanisms. The verification pipeline decomposes complex claims into factual sub-claims, retrieves corroborating or contradictory evidence from trusted online sources, and applies probabilistic scoring models to classify information as verified or deceptive. Emphasis is placed on explainability and transparency by generating human-readable summaries that justify each verification decision.
The modular and scalable architecture of VerifyIt allows efficient handling of concurrent requests and adaptability to evolving misinformation patterns. The proposed system demonstrates the potential of AI-driven fact verification in enhancing information integrity and combating the spread of misinformation in realworld digital ecosystems.
Keywords Large Language Model (LLM), Fake News Detection, Natural Language Processing (NLP), Semantic Similarity, Evidence Retrieval, Claim Decomposition, Probabilistic Scoring, Knowledge-Grounded Evaluation, Explainability, Real-Time Verification, Misinformation Detection.
Field Engineering
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-18
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