误传
互联网隐私
业务
公共关系
政治学
心理学
计算机科学
计算机安全
作者
Cameron Martel,David G. Rand
标识
DOI:10.1177/07439156251352415
摘要
Research on mitigating the effects of misinformation has contributed to the development of multiple feasible interventions designed to reduce belief in, and sharing of, falsehoods. Here we review these interventions and discuss challenges and open questions for future research. First, we provide an overview of content-neutral and content-based interventions. Next, we discuss two practical challenges to deploying and assessing these interventions in the field – scalability and pushback against content moderation efforts due to perceived political bias. Finally, we highlight several open theoretical questions and common pitfalls of research on misinformation. In particular, we argue for critical evaluation of how interventions may be effective across different types of misinformative content, different key subpopulations, and different mediums and environmental contexts.
科研通智能强力驱动
Strongly Powered by AbleSci AI