Constructing a Blockchain-based Framework for Enhancing the Reliability of Election Polls
Jhe-Yu Lin, Yu-Hwa Liu, Yu‐Chi Chen, Chih-Chieh Chang · 2024
This paper proposes an innovative blockchain framework to enhance the reliability of public opinion surveys in Taiwan, addressing prevalent challenges such as sample bias, manipulation of results, and a lack of transparency. Leveraging blockchain's core features — immutability, traceability, and transparency — we aim to refine and improve survey methodologies. The framework comprises two main components: the first is the application of the Analytic Hierarchy Process (AHP) to calculate weights, allowing for the adjustment of survey results based on trust scores from both the public and experts. This approach ensures the generation of more balanced and representative public opinion reports. The second component uses blockchain technology to record both traditional and direct public opinion survey data, ensuring the data's integrity and verifiability. This implementation guarantees that all aspects of the survey process are transparent and secure, significantly reducing the possibility of unfair manipulation and thereby enhancing the trustworthiness and transparency of the survey results. By offering a more accurate representation of public opinion, this research contributes to social science by introducing innovative methods and advancing survey technology. The blockchain framework addresses existing polling issues, setting new standards for accuracy and reliability in Taiwan's electoral polls, and enhancing democratic integrity.