Platform Philosophy: Transparency and Accountability
1.1 From Noise to Insight
Rinbang was founded to cut through the noise of traditional social media by providing structured, verified channels for public expression. We turn raw sentiment into actionable data, encouraging a direct accountability loop between citizens and public figures. Our system is designed for constructive engagement, not mere commentary.
1.2 The E-E-A-T Commitment
As a platform dealing with public opinion and authority, Rinbang prioritizes Expertise, Authoritativeness, and Trustworthiness (E-E-A-T). This is reflected through our transparent ranking methodology, strict anti-spam protocols, and reliance on verified user activity and publicly sourced profiles (Wikipedia).
Profile Creation and Data Sourcing
2.1 The AI-Verification Protocol
Public figure profiles are created using our AI-powered verification system, which extracts neutral biographical information from trusted external resources, primarily Wikipedia. This ensures every profile begins with verified, factual data—minimizing bias and reinforcing data integrity.
2.2 Community Input & Data Maintenance
After a profile is published, both automated systems and community members help maintain accuracy. Users can report inaccurate or outdated information, ensuring the platform remains reliable and up-to-date.
The Sentiment Scoring Algorithm and Rankings
3.1 Rating Mechanism (−10 to +10)
Users submit sentiment ratings on a scale ranging from −10 (Extreme Disapproval) to +10 (Extreme Approval). This system supports nuanced expression of public opinion, moving far beyond binary metrics.
3.2 Authority Score Calculation
The Authority Score is computed using a weighted algorithm incorporating recency, volume, and distribution of ratings. The system highlights three core dimensions:
- Love Score: Weighted average of positive sentiment.
- Hate Score: Weighted average of negative sentiment.
- Trending Score: Measures velocity and acceleration of sentiment in the last 24–72 hours.
3.3 Anti-Manipulation Protocols
Advanced anti-spam and anti-brigading mechanisms ensure the integrity of the ranking system. Ratings from unverified or suspicious accounts receive lower weight or are removed entirely.
User Interaction and Content (UGC)
4.1 Posts, Hashtags & Geo-Targeting
The Stream allows structured user-generated content targeting public figures. Each post includes text, mentions, hashtags, and geographic coordinates—data critical for aggregating demand signals.
4.2 The Global Demand Map
The Map aggregates structured UGC to display global and local demands visually. Repeated hashtags and mentions within specific locations reveal high-priority social or political issues.
The Impact Point System
5.1 Defining the Impact Point
The Impact Point measures how responsibly a public figure reacts to public demands surfaced on Rinbang. It reflects real-world responsiveness rather than popularity alone.
5.2 Closing the Feedback Loop
When figures respond to public concerns, users confirm whether actions were taken. Verified responses increase Impact Points, strengthening accountability.
User Trust Levels and Gamification
6.1 Trust Levels
User trust levels are determined by account age, verification, and consistency. Higher trust results in stronger weighting of ratings and creates a more credible sentiment ecosystem.
6.2 Medals and Incentives
Gamification elements such as medals reward constructive engagement and help maintain high-quality community standards.
Data Governance and API Access
7.1 Data Use Policy
Aggregated sentiment data, demand mapping, and trend insights may be publicly accessible for research and transparency, aligned with our GDPR-compliant Privacy Policy.
7.2 Political and Ideological Neutrality
Rinbang’s algorithms and moderation policies remain strictly neutral. The platform mirrors public sentiment rather than shaping narratives.
Glossary of Key Terms
Authority Ranking
The combined score reflecting Love, Hate, and Trending metrics.
Impact Point
A measure of a public figure’s responsiveness to community demands.
Verified User Rating
A sentiment rating submitted by a trusted, verified user whose input carries higher algorithmic weight.
Contact and Legal Information
For questions regarding methodology, legal matters, or this Whitepaper, contact us at legal@rinbang.com.