Filtering Fake News in Social Media Feeds

Requirements Clarification & Assessment

1. Understanding "Unhealthy" News

   • Definition: News that is either factually incorrect, misleading, or posted by fake accounts.
   • Business Goal: Enhance user experience and increase engagement by ensuring the newsfeed is credible and trustworthy.

2. Defining Metrics for Success

   • Engagement: Number of news articles read per user per day.
   • Accuracy: Rate of successful identification of fake news.
   • User Feedback: User satisfaction ratings and feedback on news credibility.

3. Feature Identification

   • Demographic Information: Analyzing IP addresses, account creation dates, and user activity patterns.
   • Content Analysis: Natural Language Processing (NLP) techniques to evaluate content for signs of misinformation.
   • User Behavior: Frequency of posts, engagement metrics (likes, shares), and patterns of interaction with potentially fake accounts.

4. Data Requirements

   • Sources: Public datasets, partnerships with fact-checking organizations, and user-reported data.
   • Labeling: Collaborate with experts for manual labeling and develop a system for ongoing data annotation.