Data Interview Question

Filtering Fake News in Social Media Feeds

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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.