Who Is Spreading AI-Generated Health Rumors? A Study on the Association Between AIGC Interaction Types and the Willingness to Share Health Rumors

IF 5.5 1区文学 Q1 COMMUNICATION

Social Media + Society Pub Date : 2025-02-27 DOI:10.1177/20563051251323391

Zehang Xie

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引用次数: 0

Abstract

Generative chatbots based on artificial intelligence technology have become an essential channel for people to obtain health information. They provide not only comprehensive health information but also real-time virtual companionship. However, the health information provided by AI may not be completely accurate. Employing a 3 × 2 × 2 experimental design, the research examines the effects of interaction types with AI-generated content (AIGC), specifically under virtual companionship and knowledge acquisition scenarios, on the willingness to share health-related rumors. In addition, it explores the impact of the nature of the rumors (fear vs hope) and the role of altruistic tendencies in this context. The results show that people are more willing to share rumors in a knowledge acquisition situation. Fear-type rumors can stimulate people’s willingness to share more than hope-type rumors. Altruism plays a moderating role, increasing the willingness to share health rumors in the scenario of virtual companionship, while decreasing the willingness to share health rumors in the scenario of knowledge acquisition. These findings support Kelley’s three-dimensional attribution theory and negativity bias theory, and extend these results to the field of human–computer interaction. The results of this study help to understand the rumor spreading mechanism in the context of human–computer interaction and provide theoretical support for the improvement of health chatbots.

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谁在传播人工智能生成的健康谣言？AIGC 互动类型与分享健康谣言意愿之间的关联研究

基于人工智能技术的生成聊天机器人已成为人们获取健康信息的重要渠道。它们不仅能提供全面的健康信息，还能提供实时的虚拟陪伴。然而，人工智能提供的健康信息可能并不完全准确。本研究采用 3 × 2 × 2 的实验设计，考察了与人工智能生成内容（AIGC）的互动类型，特别是在虚拟陪伴和知识获取场景下，对分享健康相关谣言意愿的影响。此外，研究还探讨了谣言性质（恐惧与希望）的影响以及利他主义倾向在其中的作用。结果表明，在获取知识的情况下，人们更愿意分享谣言。恐惧型谣言比希望型谣言更能激发人们的分享意愿。利他主义起着调节作用，在虚拟陪伴情景下，人们分享健康谣言的意愿会增加，而在知识获取情景下，人们分享健康谣言的意愿会降低。这些发现支持了凯利的三维归因理论和否定偏差理论，并将这些结果扩展到了人机交互领域。本研究的结果有助于理解人机交互背景下的谣言传播机制，并为改进健康聊天机器人提供理论支持。

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

Social Media + Society COMMUNICATION-

CiteScore

9.20

自引率

3.80%

发文量

111

审稿时长

12 weeks

期刊介绍： Social Media + Society is an open access, peer-reviewed scholarly journal that focuses on the socio-cultural, political, psychological, historical, economic, legal and policy dimensions of social media in societies past, contemporary and future. We publish interdisciplinary work that draws from the social sciences, humanities and computational social sciences, reaches out to the arts and natural sciences, and we endorse mixed methods and methodologies. The journal is open to a diversity of theoretic paradigms and methodologies. The editorial vision of Social Media + Society draws inspiration from research on social media to outline a field of study poised to reflexively grow as social technologies evolve. We foster the open access of sharing of research on the social properties of media, as they manifest themselves through the uses people make of networked platforms past and present, digital and non. The journal presents a collaborative, open, and shared space, dedicated exclusively to the study of social media and their implications for societies. It facilitates state-of-the-art research on cutting-edge trends and allows scholars to focus and track trends specific to this field of study.