Sign inGet started
Paper · arXiv

Spectral Analysis of Fake News Propagation

How can we systematically represent the propagation of information? The propagation structure of fake news has been shown to be an important cue for detecting it; yet, existing propagation-based fake news detection methods have mainly relied on ad hoc topological features, and a unified view of cascade patterns is still lacking. To address this, we study news propagation from a spectral view by connecting graph spectra to propagation-related structural properties through rigorous spectral bounds. We introduce several new bounds and integrate them with existing bounds into a unified spectral representation of information propagation. We then use these spectral bounds for downstream classif...

AuthorsWeibin Cai, Reza Zafarani
Primary categorycs.SI
Published18 April 2026
Last updated at source1 August 2026
cs.SIcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/81f1550a-f023-421a-90b8-12c5360e83e9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.