Predicting Topic Emergence in Disinformation-Prone Domains Using Hybrid Feature Sets: Corpus Geometry, Textual Content, and Social Dynamics

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SPIRE - Sciences Po Institutional REpository
Published
2026-02-26
Primary Topic
Computational and Text Analysis Methods
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article

Predicting Topic Emergence in Disinformation-Prone Domains Using Hybrid Feature Sets: Corpus Geometry, Textual Content, and Social Dynamics

Jean‐Gabriel Ganascia, Evangelia Zve, Gauvain Bourgne
SPIRE - Sciences Po Institutional REpository
Computational and Text Analysis Methods
article

Predicting Topic Emergence in Disinformation-Prone Domains Using Hybrid Feature Sets: Corpus Geometry, Textual Content, and Social Dynamics

Jean‐Gabriel Ganascia, Evangelia Zve, Gauvain Bourgne
article en

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No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Infosys (France) (FR)
Openalex Percentile: Top 53%
Computational and Text Analysis Methods
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