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AI disinformation detection hampered by cognitive fatigue, study finds

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv explores how humans perceive AI-generated disinformation, using a cybersecurity kill chain framework to analyze the findings. The research involved 504 participants who classified news fragments, revealing a gap between suspicion and accuracy in detecting fake news. Key findings indicate that current large language models often produce text indistinguishable from human writing, and prolonged exposure to fake news leads to cognitive fatigue that impairs detection, while AI origin detection remains stable. AI

IMPACT Highlights the challenge of distinguishing AI-generated disinformation and suggests intervention points for proactive defense against cognitive attacks.

RANK_REASON Academic paper on AI safety and human-computer interaction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI disinformation detection hampered by cognitive fatigue, study finds

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Academic paper on AI safety and human-computer interaction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Alexander Loth, Martin Kappes, Marc-Oliver Pahl ·

    Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens

    arXiv:2608.21389v1 Announce Type: cross Abstract: Generative AI enables customized misinformation at scale, yet defenses remain largely reactive. We present empirical findings from a human-subject study (n=504 participants, n=2,438 judgments) in which users classified news fragme…

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