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AI writing detection practices analyzed in real-world contexts

By PulseAugur Editorial · [1 sources] ·

A new paper explores how people identify AI-generated writing in real-world contexts, such as on English Wikipedia and among students. The research indicates that these identifications are not based on specific textual features alone, but often stem from perceived pragmatic infelicities or mismatches with the context. These AI identifications can serve as a tool to define and enforce sociolinguistic norms, determining what is considered appropriate or human-like within a given context. AI

IMPACT Understanding the social and contextual factors influencing AI detection can inform the development of more nuanced and less biased AI identification tools.

RANK_REASON The cluster contains an academic paper detailing research findings on AI-generated writing identification. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

AI writing detection practices analyzed in real-world contexts

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16 / 100
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The cluster contains an academic paper detailing research findings on AI-generated writing identification. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Michelle Morgenstern, Julia Witte Zimmerman, Tabia Tanzin Prama, Kristine Harootunian, June Clark, Bryn Loftness, Calla Beauregard, Juniper Lovato ·

    Contextuality and Contradictions: Exploring Real-World Identifications of AI-Generated Writing

    arXiv:2611.08704v1 Announce Type: new Abstract: As AI-generated content spreads into nearly every domain of human interaction, practices and discourses of AI detection, both formal and informal, have become an everyday part of how people interact with text and with each other. In…

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