A Multi-Layer AI Framework for Information Landscape Analysis
This paper proposes a multi-layer AI framework for information landscape analysis in the context of information disorder. Rather than treating misinformation detection as a binary fact-checking task, the framework analyzes political and media content across multiple dimensions, including source reliability, factual structure, framing, bias, emotional activation, manipulation patterns, and propagation dynamics. The goal is to move beyond isolated claim verification toward a structured representation of the informational environment surrounding an event, entity, or narrative. We argue that AI systems for media analysis should support epistemic mapping: a transparent, multi-dimensional accou...
| Authors | Maryam Fooladi, Federico Bottino |
|---|---|
| Primary category | cs.CY |
| Published | 22 May 2026 |
| Last updated at source | 22 May 2026 |
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