The rapid proliferation of digital misinformation, sophisticated propaganda, and rhetorically manipulated media demands analytical frameworks capable of scaling without sacrificing scholarly rigor. For decades, text analysis has relied on Computer-Assisted Qualitative Data Analysis Software (CAQDAS) such as MAXQDA, CATMA, and statistical tools like T-LAB.
While rigorous, these tools are bottlenecked by manual human annotation and subjective coding schemas. Recently, a new wave of Artificial Intelligence tools—including WIBA, Rheta, and Aletheia—have attempted to automate rhetorical and logical analysis. However, they frequently suffer from narrow operational scopes or rely on monolithic, “black-box” Large Language Model (LLM) prompts that lack determinism and external factual grounding. Read the full article here.