(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 12, No. 8, 2021 515 | Page www.ijacsa.thesai.org Lightweight Chain for Detection of Rumors and Fake News in Social Media Yazed Alsaawy 1 , Ahmad Alkhodre 2 , Nour M. Bahbouh 3 , Adnan Abi Sen 4 , Adnan Nadeem 5 Department of Information Technology, Faculty of Computer Science and Information System Islamic University, Medina, KSA 1, 2, 4, 5 University of Granada Spain 3 Abstract—Social media has become one of the most important sources of news in our lives, but the process of validating news and limiting rumors remains an open research issue. Many researchers have suggested using Blockchain to solve this problem, but it has traditionally failed due to the large volume of data and users in such environments. In this paper, we propose to modify the structure of the Blockchain while preserving its main characteristics. We achieve this by integrating customize blockchain with the Text Mining (TM) algorithm to create a modified Light Weight chain (LWC). LWC will speed up the verification process, which is carried out through proof of good history where the nodes will have the weights according to their previous posts. Moreover, the LWC will be compatible with different applications such as verifying the authenticity of news or legal religious ruling (fatwas). In this research, we have implemented a simple model to simulate the proposed LWC for the detection of fake news and preserving the characteristics and features of the traditional Blockchain. The results on experimental data reflect the effectiveness of the proposed algorithm in establishing the chain. Keywords—Component; fake news detection; text mining; blockchain; detection algorithms words I. INTRODUCTION Actually, "the production of false rumors or news that might prejudice public system or security, or send or re-send them through social media or any technical means, is an information crime that carries a sentence of five years in prison and a fine of three million riyals, Noting that the sixth article of the system "fighting information crimes" Any person who commits any of the following information crimes; production that violates public order, religious values, public morals, or the sanctity of private life, shall be punished with imprisonment for a period not exceeding five years and a fine not exceeding three million riyals, or one of these two penalties, preparing it, sending it, or storing it through the information network, or one of the computers. ”[Okaz Newspaper]. All this poses a big challenge for researchers, to find an effective solution to the problem of information validity and reliability. When digital content is shared, video or pictures of any event, how can we trust its authenticity and credibility? Considering that, the public is losing their trust in media due to the absence of reliable indication of facts. The 21st century’s beginning set the premise for today’s disruptive digital economy, wherever creating and presenting digital content has become convenient and easy. Digital content in the form of many multimedia types of blogs is being created and published at large scales today. Fake news misguides the public or just seeking more page views to get more income by dishonestly transforming a new kind of yellow press. Whereas, putting an end to these wrongdoings has become necessary. An instinctive way to neutralize fake news in social networks is to apply a central regulatory authority to handle the news flow. However, applying such authority requires adjusting the functional and the model of trust in social networks that is tough as it is a public and open network. Blockchain technology is a technology that can ensure the security and reliability of various forms of information such as news. It can establish the largest distributed record that allows the transfer of ownership or the exchange of trade transactions without the need for a third party. In addition to achieving a high degree of safety and reliability. To date, this technology has only been used in the commercial and financial domains, and its applications have been limited to digital currencies, electronic payment, smart contracts, and some latest applications in medical information confidentiality. One of the major challenges is to uphold the decentralization of social networks while limiting fake news sharing. Our study in this paper involves:  Analyzing and detecting the fake news on social networks.  Verifying the source integrity of information.  Ranking the news with an indicator of authenticity. Due to the anonymity discussed earlier, users can validate the news feed with no pressure. Consequently, their validation cannot be biased to any agendas. After the news is published, the deployment will be in the form of a chain transaction. And then with a certain degree of vitality, validators receive a request to validate the news [2]. The validator will give value to the correctness of this news. Those values will indicate the authenticity of the news. Due to the decentralization and anonymity of the system, their verification is transparent and trustworthy. Once the verification is performed, the news will have a ranking of authenticity. These ranks will be included anywhere the news is distributed.