In the realm of dispute resolution, diverse mechanisms, such as the democratic “one-man-one-vote” system and the DAO voting system, are employed, tailored to the nature of each case. While the former ensures equal voting power, the latter favors those with more significant stakes. However, challenges arise when prioritizing justice and factual accuracy, with these systems susceptible to misinformation and biases. In the midst of this, Reputational Weighted Consensus Protocol has emerged as a solution.
Within the justice system, the exercise of discretion by authorities, including police, prosecutors, and judges, is crucial. This discretion allows for personal judgment within defined boundaries, recognizing the uniqueness and complexity of each case. However, the delicate balance of judicial discretion can lead to subjective decisions and potential abuses, particularly in the risk of monopoly and bias in the judgment process, such as skewed jury selection and the discretionary removal of unbiased jurors.
Addressing these challenges, the Social Bureau introduces Reputational Weighted Consensus Protocol, aiming to foster trust and fairness among community members. This innovative system distributes decision-making power, enabling users to vote based on their Reputation Score — a metric influenced by past reviews, expertise, accuracy rate, moral conduct, and time and length and frequency of participation. By considering multiple aspects, The Reputational Weighted Consensus Protocol minimizes the impact of biased voters and bots, fostering a more inclusive and equitable decision-making process that seeks moral consensus rather than absolute judgment. The Consideration Score ensures trust, transparent voting maintains anonymity, and shaping incentives and consequences. Prioritizing moral principles, the system promotes understanding, empathy, and harmony within the community.
Key Components of Reputational Weighted Consensus Protocol
- Reputation Score (RS): Influenced by past reviews, expertise, accuracy rate, moral conduct, participation frequency, and length of participation.
- Impact of RS: Users with low RS have limited impact, ensuring a louder voice for those with high scores.
- Anti-bot Measure: RS serves as an anti-bot measure, making it challenging for bots to influence outcomes.
The Reputational Weighted Consensus Protocol Scoring Formula: RS = ((Accuracy Rate + Moral Rate) / 2) × Proficiency Points
- Accuracy Rate (AR): Reflects the user’s precision and proficiency in contributions, playing a crucial role in determining the overall reliability of the user on the platform.
- Moral Rate (MR): Promotes and evaluates the moral considerations and ethical conduct of users on the platform.
- Proficiency Points (PP): Measures proficiency, including Length and Frequency of Participation, reflecting anti-bot measures.
This comprehensive approach encourages responsible behavior, discourages harm, and fosters a positive community environment.
We believe that by actively participating in the platform with consideration for others and following international standards and ethical practices, users can collectively create a positive and enriching environment. The Reputation Weighted Consensus Protocol Scoring system aims to reward and promote such behavior, fostering a vibrant community where users can thrive and seek justice while upholding the values of respect and fairness.
