This section employs algorithms to detect and remove shared quotations in QAnon texts, mitigating biases and ensuring accurate authorship profiling.

Machine learning identifies linguistic patterns in QAnon texts, suggesting key authors like Ron W. and Paul F., and uncovering distinct writing styles.

Using stylometric analysis, this part explores the linguistic signatures of QAnon texts, revealing potential multiple authors & new insights into their origins

This portion of the study explores QAnon's societal influence and evaluates competing theories about the identity of "Q".