虚假信息的心理学：以人为中心的虚假信息检测综述
The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
AI总结：
本文从人类心理学视角系统综述了虚假信息检测，揭示现有事实核查方法的局限，并提出融合认知偏差与情感反应的神经行为模型作为未来方向。
摘要：
虚假信息仍然是数字时代最重大的问题之一。尽管自动化事实核查已成为一种可行的解决方案，但当前大多数系统仅限于评估事实准确性。然而，虚假信息的危害性影响超越了简单的虚假陈述；它利用了个人感知、解释和情感反应信息的方式。这凸显了超越事实性、采用更以人为中心的检测框架的必要性。在本综述中，我们探讨了传统事实核查方法与认知偏差、社会动态和情感反应等心理学概念之间不断演变的相互作用。通过从人类心理和行为的视角分析最先进的虚假信息检测系统，我们揭示了当前方法的关键局限性，并确定了改进的机会。此外，我们概述了未来的研究方向，旨在创建更稳健和更具适应性的框架，例如将技术因素与人类认知和社会影响的复杂性相结合的神经行为模型。这些方法为更有效地检测和减轻虚假信息的社会危害提供了有前景的途径。
英文摘要：
Misinformation remains one of the most significant issues in the digital age. While automated fact-checking has emerged as a viable solution, most current systems are limited to evaluating factual accuracy. However, the detrimental effect of misinformation transcends simple falsehoods; it takes advantage of how individuals perceive, interpret, and emotionally react to information. This underscores the need to move beyond factuality and adopt more human-centered detection frameworks. In this survey, we explore the evolving interplay between traditional fact-checking approaches and psychological concepts such as cognitive biases, social dynamics, and emotional responses. By analyzing state-of-the-art misinformation detection systems through the lens of human psychology and behavior, we reveal critical limitations of current methods and identify opportunities for improvement. Additionally, we outline future research directions aimed at creating more robust and adaptive frameworks, such as neuro-behavioural models that integrate technological factors with the complexities of human cognition and social influence. These approaches offer promising pathways to more effectively detect and mitigate the societal harms of misinformation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
