FakeOrNot
Crowd-powered content verification system
What It Does
FakeOrNot is a community-driven platform where:
- Users vote on content authenticity
- Admins verify controversial cases
- Trusted users gain voting weight over time
How It Works
1. User Votes
Community members classify content as Real/Fake
2. Admin Verifies
Disputed cases get manual review
3. Earn Points
Accurate voters gain influence
4. Weighted Future Votes
High-score users impact results more
What will be the algorithm used for point system of users ? This.
Technical Stack
Backend
- Go
- MongoDB (user points storage)
Monitoring
- Prometheus (track vote throughput)
- Grafana (admin dashboard)
Anti-Cheat
- One Vote per User per Article
- Admin override tools
System Stats
Cooking
Active voters
Cooking
Admin-verified accuracy
Cooking
Avg. vote processing
Project Roadmap & Future Enhancements
- LeaderBoards: Authors with highest number of fakevotes and Users with highest number of points.
- Aggregation Pipelines: Sorting of articles based on recent spikes of votes (trending) , most voted etc.
- Algorithm for point system: I dont think that social network algo is relevant here , I dont know any idea about this NOW . Will do it in future , as of now 1 point for everybody lol
- If needed : Will implement my log management tool for batching request and concurrency
Key Challenges During Implementation
- Threaded Comments : Tree based structure with combination of parent-child relationships.
- Optimised DB Calls: Bulk article payload delivery over one monolithic request can/will cause High latency , Increased server load.