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Identify Features for Fake News Detection on Facebook

MetaData Scientist · Onsite
HardData ScientistOnsiteMachine Learning

Last updated

Identify Features for Fake News Detection on Facebook evaluates core ML concepts, assumptions, math intuition, training/evaluation trade-offs, and practical failure modes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Scenario

Following detection of increasing fake news, you are tasked with proposing an automated classification solution.

Question

What features and modelling approach would you use to build a machine-learning system that flags fake news on Facebook?

Hints

Discuss text, user, network, temporal features; model choices; evaluation metrics; handling concept drift.