arXiv:2606.26115v1 Announce Type: cross Abstract: 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 a
The proliferation of digital content and the increasing sophistication of information manipulation necessitate advanced AI frameworks to analyze complex information landscapes.
A multi-layered AI approach to information analysis could fundamentally change how institutions understand and respond to information disorder, moving beyond simplistic fact-checking.
The focus shifts from isolated content verification to a structured, multi-dimensional assessment of information environments, offering more nuanced insights into influence operations.
- · Intelligence agencies
- · Social media platforms
- · Disinformation researchers
- · National security organizations
- · Perpetrators of disinformation
- · Binary fact-checking platforms
Improved detection and understanding of sophisticated influence campaigns.
Development of adaptive defenses against rapidly evolving information manipulation tactics.
Enhanced societal resilience to information disorder, potentially impacting democratic processes and public trust.
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Read at arXiv cs.AI