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February 14, 2026Journal of the Association for Information Science and Technology0 citations

How does information resource value of AI ‐generated content emerge? An exploratory study from the user evaluation perspective

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YZYu ZhuCLChenyu LiJYJiyuan Ye

Key Points

  • This study aims to explore how users perceive the value of AI-generated content and identify the processes that contribute to this value emergence.
  • Conducted in-depth, semi-structured interviews with 22 experienced AI-generated content users.
  • Utilized content analysis to assess factors influencing perceived value.
  • Developed an AIGC-Value-Added Framework outlining user-AIGC interaction phases.
  • Identified four phases in user-AIGC interactions: value exposure, value forming, value anchoring, and value realization.
  • Proposed an integrative framework to illustrate how value emerges in AI-generated content.
  • Demonstrated how these interactions enhance the overall resource value of AI-generated content.

Abstract

Abstract AI‐generated content (AIGC), a novel information resource, has seen an irreversible growth trend in the information ecosystem. However, most prior AIGC studies focus on technological adoption and static evaluation, while little attention has been paid to the value emergence and value‐added processes of AIGC at the information resource level. This study employed in‐depth, semi‐structured interviews with 22 experienced AIGC users and utilized content analysis to examine the factors influencing users' perceived value of AIGC, identify value‐added processes, and explore the underlying mechanisms. Based on these findings, we propose the AIGC‐Value‐Added Framework, delineating four user‐AIGC interaction phases: value exposure, value forming, value anchoring, and value realization, which collectively enhance the resource value of AIGC. This study introduces an integrative framework for understanding how value emerges and is added to AIGC as an information resource, thereby enriching the Library and Information Science literature on information value‐adding practices in the AIGC context and offering stakeholders practical insights for optimizing AIGC leverage.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/699011172ccff479cfe5782fhttps://doi.org/10.1002/asi.70061
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