menu
techminis

A naukri.com initiative

google-web-stories
Home

>

Technology News

>

Machine Le...
source image

Hackernoon

4w

read

205

img
dot

Image Credit: Hackernoon

Machine Learning Reveals the Faces Behind Viral QAnon Posts

  • A recent study used machine learning techniques to identify the potential authors behind the viral QAnon posts.
  • The authors collected linguistic data from QAnon posts and compared them to a list of suspects provided by journalistic investigations.
  • By analyzing the writing style, the study identified two individuals, Paul F. and Ron W., as the closest matches to Q's linguistic signature.
  • These potential authors are social media activists, not high-ranking personalities from the U.S. administration.

Read Full Article

like

12 Likes

For uninterrupted reading, download the app