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.