Amini Arash, Bayiz Yigit Ege, Lee Eun-Ju, Somer-Topcu Zeynep, Marculescu Radu, Topcu Ufuk
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA.
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
Sci Adv. 2025 Jun 20;11(25):eadu7743. doi: 10.1126/sciadv.adu7743. Epub 2025 Jun 18.
Competition among news sources over public opinion can incentivize them to resort to misinformation. Sharing misinformation may lead to a short-term gain in audience engagement but ultimately damages the credibility of the source, resulting in a loss of audience. To understand the rationale behind news sources sharing misinformation, we model the competition between sources as a zero-sum sequential game, where news sources decide whether to share factual information or misinformation. Each source influences individuals based on their credibility, the veracity of the article, and the individual's characteristics. We analyze this game through the concept of quantal response equilibrium, which accounts for the bounded rationality of human decision-making. The analysis shows that the resulting equilibria reproduce the credibility-opinion distribution of real-world news sources, with hyperpartisan sources spreading the majority of misinformation. Our findings provide insights for policymakers to mitigate the spread of misinformation and promote a more factual information landscape.
新闻来源之间围绕公众舆论的竞争可能会促使它们诉诸错误信息。分享错误信息可能会在短期内提高受众参与度,但最终会损害消息来源的可信度,导致受众流失。为了理解新闻来源分享错误信息背后的原理,我们将各来源之间的竞争建模为一个零和序贯博弈,其中新闻来源决定是分享事实信息还是错误信息。每个来源根据其可信度、文章的真实性以及个人特征来影响个人。我们通过量子响应均衡的概念来分析这个博弈,该概念考虑了人类决策的有限理性。分析表明,由此产生的均衡再现了现实世界新闻来源的可信度 - 舆论分布,极端党派化的来源传播了大部分错误信息。我们的研究结果为政策制定者减轻错误信息的传播并促进更基于事实的信息环境提供了见解。