Crowd Cognition Group, Ludwig Maximilian Unversität, Gabelsbergerstr 62, Munich 80333, Bavaria, Germany.
Philosophy, LMU, Geschwister Scholl Platz 1, Munich 80539, Bavaria, Germany.
Proc Biol Sci. 2024 Feb 28;291(2017):20232011. doi: 10.1098/rspb.2023.2011.
Polarization raises concerns for democracy and society, which have expanded in the internet era where (mis)information has become ubiquitous, its transmission faster than ever, and the freedom and means of opinion expressions are expanding. The origin of polarization however remains unclear, with multiple social and emotional factors and individual reasoning biases likely to explain its current forms. In the present work, we adopt a principled approach and show that polarization tendencies can take root in biased reward processing of new information in favour of choice confirmatory evidence. Through agent-based simulations, we show that confirmation bias in individual learning is an independent mechanism and could be sufficient for creating polarization at group level independently of any additional assumptions about the opinions themselves, beliefs about them, information transmission mechanisms or the structure of social relationship between individuals. This generative process can interact with polarization mechanisms described elsewhere, but constitutes an entrenched biological tendency that helps explain the extraordinary resilience of polarization against mitigating efforts such as dramatic informational change in the environment.
极化引起了人们对民主和社会的关注,这种现象在互联网时代愈演愈烈,(错误)信息无处不在,其传播速度前所未有,言论表达的自由和手段也在不断扩大。然而,极化的根源尚不清楚,多种社会和情感因素以及个体推理偏差可能解释了其当前的形式。在本工作中,我们采用一种严谨的方法,表明极化趋势可能源于对新信息的有偏差的奖励处理,偏向于确认性证据。通过基于代理的模拟,我们表明个体学习中的确认偏差是一个独立的机制,并且可以在不考虑任何关于意见本身、对它们的信念、信息传播机制或个体之间社会关系结构的其他假设的情况下,足以在群体层面上产生极化。这种生成过程可以与其他地方描述的极化机制相互作用,但它构成了一种根深蒂固的生物倾向,可以帮助解释极化现象对缓解措施的非凡抵抗力,例如环境中戏剧性的信息变化。