AI vs. AI: An AI-Enabled Conversational Intervention to Inoculate Against AI-Generated Fake News

IF 6.2 3区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Systems Frontiers Pub Date : 2026-10-24 DOI:10.1007/s10796-026-10827-y

Mohammad S. Najjar, Murtaza Nasir

引用次数: 0

Abstract

Generative artificial intelligence (GenAI) is a double-edged sword that can be used to amplify the proliferation of highly sophisticated fake news as well as to fight it. In this work, we explore a new route: using one AI to inoculate humans against fake news generated by another AI. Motivated by psychological inoculation theory, we created ‘Alex’, a conversational AI agent that engages users in an adaptive conversational dialogue designed to build cognitive resilience against AI-generated, AI-related fake news. We tested its efficacy in a Solomon four-group experiment with 542 participants. The results of a 2 × 2 ANOVA show a significant main effect of the intervention on participants’ discrimination of true and false headlines, with no significant evidence of pretest sensitization. We show that AI can be designed as a scalable, interactive conversational intervention for delivering psychological inoculation against AI-generated, AI-related fake news.

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人工智能vs.人工智能：人工智能支持的对话干预，以预防人工智能产生的假新闻

生成式人工智能（GenAI）是一把双刃剑，既可以用来放大高度复杂的假新闻的扩散，也可以用来打击它。在这项工作中，我们探索了一条新的路线：使用一个人工智能来接种人类对抗另一个人工智能产生的假新闻。在心理接种理论的推动下，我们创造了“Alex”，这是一个对话式人工智能代理，可以让用户参与自适应对话，旨在建立对人工智能生成的、与人工智能相关的假新闻的认知弹性。我们在所罗门四组实验中测试了542名参与者的有效性。2 × 2方差分析的结果显示，干预对参与者对真假标题的区分有显著的主效应，没有显著的测试前致敏证据。我们表明，人工智能可以被设计成一种可扩展的、交互式的对话干预，用于提供心理接种，以对抗人工智能生成的、与人工智能相关的假新闻。

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

Information Systems Frontiers 工程技术-计算机：理论方法

CiteScore

13.30

自引率

18.60%

发文量

127

审稿时长

9 months

期刊介绍： The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.