SER Whitepaper 11 | The Recognition Economy: A Post-Attention Age of Expression

Fuente: Zenodo
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Autor principal: Wei, Xinliang
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2025
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author Wei, Xinliang
author_facet Wei, Xinliang
contents <p>This white paper introduces the concept of the <span><strong>Recognition Economy</strong></span> as a post-attention era paradigm of expression. Based on the SER framework (Structured Expression Resonance), it explores how expression can propagate not through algorithms or emotional engagement, but through <span><strong>structural recognizability</strong></span>.</p> <p>Through real-world case studies on Zenodo—where white papers were downloaded without promotion or algorithmic boost—it illustrates the emergence of <span><strong>Structural Communication Studies</strong></span>, a new field analyzing how expressive structures are naturally recognized, migrated, and reused by high-cognition systems (human or AI).</p> <p>The paper systematically outlines:</p> <ul> <li> <p>Why attention-based communication is fading</p> </li> <li> <p>How structure enables recognition and transmission</p> </li> <li> <p>What it means to design “expressive interfaces”</p> </li> <li> <p>How future AI collaboration depends on <span><strong>structural language</strong></span>, not just semantics</p> </li> </ul> <p>This is the 11th official white paper in the SER series.</p>
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spellingShingle SER Whitepaper 11 | The Recognition Economy: A Post-Attention Age of Expression
Wei, Xinliang
Artificial Intelligence
Human-Computer Interaction
Computational Linguistics
Applied Linguistics
Knowledge Representation and Reasoning
Information Systems
Communication and Media Studies
Educational Sciences
Philosophy of Language
Multidisciplinary Sciences
Recognition Economy
Attention Economy
Structured Expression Resonance
Structural Communication
SER
Structural Language
Human–AI Co-Writing
Cognitive Systems
AI Collaboration
Content Migration
Expression Architecture
Structural Interface
Resonance System
Knowledge Architecture
Second Curve of Language
Systemic Expression Design
Deep Communication
Structural Transmission
High-Cognition User
Digital Publishing
<p>This white paper introduces the concept of the <span><strong>Recognition Economy</strong></span> as a post-attention era paradigm of expression. Based on the SER framework (Structured Expression Resonance), it explores how expression can propagate not through algorithms or emotional engagement, but through <span><strong>structural recognizability</strong></span>.</p> <p>Through real-world case studies on Zenodo—where white papers were downloaded without promotion or algorithmic boost—it illustrates the emergence of <span><strong>Structural Communication Studies</strong></span>, a new field analyzing how expressive structures are naturally recognized, migrated, and reused by high-cognition systems (human or AI).</p> <p>The paper systematically outlines:</p> <ul> <li> <p>Why attention-based communication is fading</p> </li> <li> <p>How structure enables recognition and transmission</p> </li> <li> <p>What it means to design “expressive interfaces”</p> </li> <li> <p>How future AI collaboration depends on <span><strong>structural language</strong></span>, not just semantics</p> </li> </ul> <p>This is the 11th official white paper in the SER series.</p>
title SER Whitepaper 11 | The Recognition Economy: A Post-Attention Age of Expression
topic Artificial Intelligence
Human-Computer Interaction
Computational Linguistics
Applied Linguistics
Knowledge Representation and Reasoning
Information Systems
Communication and Media Studies
Educational Sciences
Philosophy of Language
Multidisciplinary Sciences
Recognition Economy
Attention Economy
Structured Expression Resonance
Structural Communication
SER
Structural Language
Human–AI Co-Writing
Cognitive Systems
AI Collaboration
Content Migration
Expression Architecture
Structural Interface
Resonance System
Knowledge Architecture
Second Curve of Language
Systemic Expression Design
Deep Communication
Structural Transmission
High-Cognition User
Digital Publishing
url https://doi.org/10.5281/zenodo.16886398