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Hoax Classification with Vertex AI and Cloud Function

  • Automating Hoax Classification with Google Vertex AI and Cloud Function for efficient classification of misinformation and hoaxes online.
  • Prerequisites for the implementation include Python 3.8+, Google Cloud SDK, functions-framework, and vertexai Python packages.
  • The process involves importing libraries, configuring the Generative AI model, defining the Hoax Classification Function, and creating the Cloud Function for classification requests.
  • The classify_claim function processes textual claims, constructs prompts, identifies classification categories, and utilizes a GenerativeModel for detailed justifications.
  • The Cloud Function, classify, is set up as an HTTP-triggered function that parses JSON data from requests for classification inputs.
  • Deployment involves deploying the function to Google Cloud and testing it using tools like curl or Postman to send HTTP requests with JSON data.
  • This automated system can efficiently detect hoaxes at scale, process text content, and provide evidence to combat misinformation.
  • Readers are encouraged to deploy the hoax classification function to leverage AI technology in the fight against misinformation.
  • Special thanks are given to Nicholas Arsa for collaborating on the project that utilizes Google Cloud credits.
  • The article provides a comprehensive guide for automating hoax classification with Vertex AI and Cloud Functions to enhance online content verification.

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