School of Psychological Science (M304), University of Western Australia, Perth, 6009, Australia.
Network Science Institute, Northeastern University, Boston, USA.
Sci Rep. 2024 May 20;14(1):11495. doi: 10.1038/s41598-024-62286-7.
Nudge-based misinformation interventions are presented as cheap and effective ways to reduce the spread of misinformation online. However, despite online information environments typically containing relatively low volumes of misinformation, most studies testing the effectiveness of nudge interventions present equal proportions of true and false information. As the effectiveness of nudges can be highly context-dependent, it is imperative to validate the effectiveness of nudge-based interventions in environments with more realistic proportions of misinformation. The current study (N = 1387) assessed the effectiveness of a combined accuracy and social-norm nudge in simulated social-media environments with varying proportions of misinformation (50%, 20%, and 12.5%) relative to true and non-news-based (i.e., "social") information. The nudge intervention was effective at improving sharing discernment in conditions with lower proportions of misinformation, providing ecologically valid support for the use of nudge-based interventions to counter misinformation propagation on social media.
基于轻推的错误信息干预措施被认为是一种廉价且有效的方法，可以减少在线错误信息的传播。然而，尽管在线信息环境通常包含相对较少的错误信息，但大多数测试轻推干预措施有效性的研究都呈现了真假信息的相等比例。由于轻推的有效性可能高度依赖于上下文，因此必须在具有更现实的错误信息比例的环境中验证基于轻推的干预措施的有效性。本研究（N=1387）评估了在具有不同错误信息比例（50%、20%和 12.5%）的模拟社交媒体环境中，结合准确性和社会规范轻推的有效性，与真实信息和非新闻信息（即“社交”）相比。在错误信息比例较低的情况下，轻推干预措施在提高分享辨别力方面是有效的，为在社交媒体上对抗错误信息传播使用基于轻推的干预措施提供了生态有效的支持。
