Politricks: Teaching political tricks and discernment through active and passive tools.

IF 3.8 Q2 MULTIDISCIPLINARY SCIENCES
PNAS nexus Pub Date : 2025-08-08 eCollection Date: 2025-08-01 DOI:10.1093/pnasnexus/pgaf245
Shaye-Ann M Hopkins, Rebecca M Rayburn-Reeves, Jan W Lindemans, Kathleen C O'Gorrman, Ian A Vandewalker, Caylin A Luebeck, Joseph J Sherlock
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引用次数: 0

Abstract

In an age of information overload, misinformation poses a growing threat to democracy. Inoculation theory suggests that exposing individuals to manipulation techniques can help build resistance to misinformation and improve their ability to discern such content over time. However, little research has directly compared the effectiveness of active learning tools, such as gamified interventions, to passive learning methods, like informational guides, for enhancing the detection of misinformation within important public issues, such as elections and climate change. To address this gap, we designed two tools aimed at enhancing users' ability to recognize manipulation strategies used to disseminate misinformation: an interactive game (Politricks) and a passive learning-based guide, and compared the impact to a control condition (Tetris). Through two survey experiments (N = 1,035), we explored the effect on beliefs about election-related misinformation (study 1), and the transferability of these resources to climate change misinformation (study 2). Both learning tools significantly improved discernment and reduced engagement with manipulative content. While both interventions were almost equally effective, the tools had a stronger impact on election misinformation detection, compared to climate change misinformation. Notably, the Politricks game showed stronger discernment effects among individuals with lower initial discernment, particularly those with stronger beliefs in the inaccuracy of the 2020 election results and conservatives. These findings suggest that both active and passive tools can enhance discernment and resilience against misinformation. These results highlight the effectiveness of both active and passive learning tools across misinformation domains.

政治技巧:通过主动和被动的工具教授政治技巧和辨别力。
在信息过载的时代,错误信息对民主构成了越来越大的威胁。接种理论认为,让个人接触操纵技术可以帮助建立对错误信息的抵抗力,并随着时间的推移提高他们辨别此类内容的能力。然而,很少有研究直接比较主动学习工具(如游戏化干预)与被动学习方法(如信息指南)在加强对重要公共问题(如选举和气候变化)中错误信息的检测方面的有效性。为了解决这一差距,我们设计了两个旨在提高用户识别用于传播错误信息的操纵策略的能力的工具:一个互动游戏(poliricks)和一个被动的基于学习的指南,并将其影响与控制条件(俄罗斯方块)进行了比较。通过两个调查实验(N = 1,035),我们探讨了对选举相关错误信息信念的影响(研究1),以及这些资源对气候变化错误信息的可转移性(研究2)。这两种学习工具都显著提高了识别能力,减少了对操纵性内容的参与。虽然这两种干预措施几乎同样有效,但与气候变化错误信息相比,这些工具对选举错误信息检测的影响更大。值得注意的是,poliricks游戏在初始识别力较低的个体中显示出更强的识别力效应,特别是那些对2020年选举结果的不准确性有更强信念的个体和保守派。这些发现表明,主动和被动工具都可以增强对错误信息的洞察力和弹性。这些结果强调了主动和被动学习工具在错误信息领域的有效性。
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
CiteScore
1.80
自引率
0.00%
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