Securing Indonesian Hoax News Dataset with Blockchain, IPFS, and Voting Mechanism

The spread of fake news and hoaxes on the internet has become a serious issue, with inaccurate information being presented as fact and affecting public opinion. Machine learning has been used to combat this issue, but the lack of open datasets for hoaxes in Indonesia poses a challenge to researchers. Building a dataset for hoax news dataset in Indonesia presents challenges such as the speed of hoax dissemination, the need for validation, and the difficulty in accessing and tracking dispersed datasets. Therefore, the paper proposes the solution of securing the dataset with blockchain, and voting mechanisms that can provide a transparent and democratic process for validating hoaxes. To ensure the integrity and security of the dataset, the paper proposes using a combination of blockchain technology and the use of InterPlanetary File System (IPFS). The blockchain technology can be used to create an immutable record of the dataset, ensuring that any changes to the data are transparent and traceable. IPFS can be used to store the dataset in a distributed manner, making it more resilient to attacks or data loss. The voting mechanism can be used to validate the authenticity of the data and ensure that only valid and trustworthy data is included. The proposed solution addresses the challenges of hoaxes and misinformation, which often evolve with the changing trends in society and make it up to date. The use of blockchain technology and IPFS ensures that the dataset is secure and trustworthy, while the voting mechanism ensures that only valid data is included.