The objective of this project is to design and develop a trust-based system for verifying social media content authenticity. The system evaluates trust scores using user behavior, content history, and verification rules to reduce misinformation while helping students understand trust modeling, content moderation, and secure system design.
Study challenges of misinformation, fake news, and content manipulation on social media platforms.
Analyze trust-based verification concepts including user reputation, content credibility, and activity patterns.
Prepare Software Requirement Specification (SRS) and content verification workflow documentation.
Design system architecture integrating content submission, trust evaluation engine, and moderation dashboard.
Create database schema for users, posts, trust scores, reports, verification status, and audit logs.
Implement secure user authentication and role-based access (Admin, Moderator, User).
Develop module for content posting and metadata collection (time, frequency, engagement).
Design trust score calculation logic based on predefined rules (user history, reports, engagement).
Implement content verification status such as trusted, under review, or flagged.
Build dashboards for moderators to review flagged content and trust metrics.
Restrict moderation actions using role-based authorization.
Maintain audit logs for content reviews and trust score updates.
Apply input validation and secure coding practices to prevent misuse.
Perform unit testing and system testing for verification logic.
Generate reports on misinformation trends and user trust levels.
Prepare documentation including ER diagrams, flowcharts, trust model explanation, and test cases.
