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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

fake news stories

biblio

Visible to the public Classifying Fake News Articles Using Natural Language Processing to Identify In-Article Attribution as a Supervised Learning Estimator

Submitted by grigby1 on Fri, 08/28/2020 - 12:23pm
  • news article
  • information accuracy
  • key linguistic characteristics
  • learning (artificial intelligence)
  • Linguistics
  • machine learning
  • mainstream media platforms
  • Media
  • Metrics
  • natural language processing
  • Influence Mining
  • pattern classification
  • pubcrawl
  • radio news
  • resultant process precision
  • social media conduits
  • social media platforms
  • social networking (online)
  • supervised learning estimator
  • tools
  • fake news articles
  • Attribution Classification
  • Bayes methods
  • Bayesian machine learning system
  • classifier performance
  • component
  • composability
  • deceptive content
  • Decision Making
  • fake news
  • attribution
  • fake news classifier
  • fake news detector
  • fake news identification study
  • fake news stories
  • feature extraction
  • Grammar
  • Human behavior
  • in-article attribution

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