Dec. 24, 2023, 9:24 p.m. | Dr. Tony Hoang

The Artificial Intelligence Podcast linktr.ee

AI applications are increasingly being trained to detect and filter out fake news, enhancing accuracy and speed in distinguishing between truth and fallacy. By analyzing content structure, language usage, and data, AI can flag unreliable stories across platforms like Facebook and Twitter. Moreover, AI is utilized in politics, finance, and healthcare to prevent the circulation of misleading information. The use of Natural Language Processing (NLP), credibility assessment, and pattern detection allows AI to comprehend human language cues, evaluate news source …

accuracy ai applications applications data facebook fake fake news filter game industries language platforms politics power speed stories twitter usage

More from linktr.ee / The Artificial Intelligence Podcast

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist, Demography and Survey Science, University Grad

@ Meta | Menlo Park, CA | New York City

Computer Vision Engineer, XR

@ Meta | Burlingame, CA