The rapid growth of digital media and social networking platforms has significantly increased the spread of fake news across the world. Fake news can manipulate public opinion, influence elections, create social unrest, and damage reputations. Traditional centralized systems for news verification suffer from issues such as lack of transparency, data tampering, and single point of failure. Blockchain technology, with its decentralized, immutable, and transparent nature, provides a promising solution for fake news detection and prevention. This research paper proposes a blockchain based framework for detecting and preventing fake news by ensuring authenticity, traceability, and credibility of news content. The system integrates smart contracts, distributed ledger technology, and consensus mechanisms to verify news before publication. The proposed model enhances trust in digital media ecosystems and reduces misinformation spread. The rapid growth of digital media and social networking platforms has significantly increased the spread of fake news, leading to misinformation, social unrest, and loss of public trust. Detecting and preventing fake news has become a major challenge due to the lack of transparency and centralized control in traditional systems. This research proposes a blockchain based framework combined with machine learning techniques to detect and control the spread of fake news in a secure and decentralized manner. Machine learning and Natural Language Processing NLP methods are used to analyze and classify news content as real or fake based on textual features and patterns. Once verified, the news data is converted into a cryptographic hash and stored on the blockchain, ensuring immutability, transparency, and resistance to tampering. A consensus mechanism involving validators or fact checkers is used to verify the authenticity of news before adding it to the blockchain. Users can further validate news by comparing its hash value with blockchain records. The proposed system enhances trust, improves information reliability, and reduces the dissemination of fake news. Overall, the integration of blockchain technology with intelligent detection techniques provides a secure, transparent, and efficient solution for combating fake news in digital environments. The rapid growth of digital media and social networking platforms has transformed the way information is created, shared, and consumed. While this transformation has improved communication and global connectivity, it has also increased the spread of fake news, misinformation, and disinformation. Fake news negatively impacts society by influencing public opinion, damaging reputations, creating social unrest, and weakening trust in media and institutions. Traditional fake news detection systems mainly rely on centralized authorities and platform based moderation, which often suffer from problems such as lack of transparency, bias, data manipulation, and vulnerability to cyber attacks. Therefore, there is a strong need for a secure, transparent, and reliable system to detect and prevent the spread of false information. This paper presents a blockchain based framework for fake news detection and verification. Blockchain is a decentralized and distributed ledger technology that ensures data integrity, immutability, and transparency. In the proposed system, news content is registered on the blockchain at the time of creation along with essential metadata such as publisher identity, timestamp, and digital signature. This creates a permanent and verifiable record of the source and history of the information. Once stored, the data cannot be altered or deleted without network consensus, which prevents unauthorized modification and manipulation. The proposed model integrates blockchain with smart contracts and automated verification mechanisms to evaluate the credibility of news content. Smart contracts enable real time validation using trusted publishers and fact checking entities. Suspicious or unverified content is automatically flagged, reducing its spread across digital platforms. Additionally, the system encourages community participation, allowing users, journalists, and fact checkers to contribute to content validation in a decentralized manner. This collaborative approach enhances transparency, fairness, and trust in the verification process. Experimental analysis and performance evaluation indicate that the blockchain based system provides higher accuracy, improved traceability, enhanced security, and faster verification compared to traditional centralized methods. The decentralized architecture eliminates single points of failure and strengthens resistance against cyber attacks and data tampering. Moreover, permanent rIn conclusion, the proposed blockchain based fake news detection framework offers a reliable and efficient solution to combat misinformation in the digital era. By ensuring authenticity, transparency, and data integrity, the system helps build a trustworthy news ecosystem. This research demonstrates that blockchain technology has strong potential to support ethical digital journalism and strengthen public confidence in online information systems. Future work may focus on integrating advanced artificial intelligence techniques and expanding scalability to further improve system performance and real world applicability. ecord keeping promotes accountability among publishers and discourages the intentional spread of false information. Blockchain, Fake News Detection, Smart Contracts, Distributed Ledger, Decentralization, Digital Media, Misinformation, Consensus Mechanism. 18-27 Advances in Computer Applications and Information Technology Special Issue Nutan Rohankar | Mesh Rudraka