Algorithm to emotion: a three-stage model of user acceptance for AI-generated news platforms

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics Pub Date : 2025-08-09 DOI:10.1016/j.tele.2025.102312

Ke Zhang, Yuchen Xie, Wangjing Han, Dandan Zhang, Yan Quan

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引用次数: 0

Abstract

With the rapid development of AI, Users’ acceptance of intelligent recommendation technology on news platforms directly affects the effectiveness and sustainability of using intelligent recommendation AI news. This study investigates user acceptance of AI-driven news recommendation platforms by applying the Artificial Intelligent Device Use Acceptance (AIDUA) model. Through a survey of 1,100 users, we examine how six AI-specific factors—social influence, perceived novelty, intelligence, accuracy, transparency, and fairness—shape performance expectancy and effort expectancy, ultimately influencing acceptance decisions. Results reveal that all six factors positively impact performance expectancy, while social influence, accuracy, transparency, and fairness reduce effort expectancy. Notably, perceived accuracy (β = 0.200) exerts the strongest effect, underscoring content quality as a critical driver of trust. Emotion mediates between cognitive evaluations and behavioral outcomes, with positive emotions enhancing acceptance and negative emotions amplifying resistance. The study advances theoretical understanding by extending the AIDUA model to AI journalism, highlighting the dual-path role of cognitive and affective evaluations.

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从算法到情感：人工智能新闻平台用户接受度的三阶段模型

随着人工智能的快速发展，新闻平台用户对智能推荐技术的接受程度直接影响到智能推荐AI新闻使用的有效性和可持续性。本研究通过应用人工智能设备使用接受度（AIDUA）模型来调查人工智能驱动的新闻推荐平台的用户接受度。通过对1100名用户的调查，我们研究了6个特定于人工智能的因素——社会影响力、感知新颖性、智力、准确性、透明度和公平性——如何塑造绩效预期和努力预期，最终影响接受决策。结果表明，所有六个因素都对绩效预期产生积极影响，而社会影响力、准确性、透明度和公平性会降低努力预期。值得注意的是，感知准确性（β = 0.200）发挥了最强的作用，强调内容质量是信任的关键驱动因素。情绪在认知评价和行为结果之间起中介作用，积极情绪增强接纳，消极情绪放大抗拒。该研究通过将AIDUA模型扩展到人工智能新闻，突出了认知和情感评估的双重路径作用，从而推进了理论认识。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.