Author

Mkululi Sikosana

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#machine learning Preprint Oct 2026

Does Neural Complexity Improve Health Misinformation Detection? A Leakage-Controlled Cross-Corpus Benchmark

Increasing architectural complexity is often assumed to improve health misinformation detection, yet reported gains are difficult to interpret when studies use different corpora, preprocessing pipelines, data splits, and leakage controls. This study provides a controlled cross-corpus benchmark of five compact neural ar...

Mkululi Sikosana · 0 citations

#machine learning Preprint Aug 2026

A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation

The Cognitive Propagation Score (CPS) is introduced, an interpretable post-hoc auxiliary score computed from psychologically motivated, text-derived cues capturing argument complexity, emotional intensity, and content-derived virality potential, to support diffusion-risk reasoning when engagement ground truth is incomp...

Mkululi Sikosana, Sean Maudsley-Barton, O. Ajao · 1 citation