Fake news identification

  Talk to an expert
request
Request
Develop a model to assign a score to each piece of news on the Web, measuring the probability of it being a fake.
approach
Approach
By training AI models with data from semantic analysis and technical page data, we created an engine that responds to URL analysis requests with a "Fake News Index”.
result
Result
Web-based application capable of identifying over 70% of fake news, with fewer than 5% of legitimate news mistakenly flagged among the most suspicious.
Categories
Type
  AI & Data Science
Predictive analysis
Need
  Benefit
Data valorization
  Business function
Sales & Marketing
  Industry
Publishers, Public Administration, Data Providers, Education
  Business Model
B2B
  Business Size
Large Enterprises
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