Widely distributed misinformation shared across social media channels is a pressing issue that poses a significant threat to many aspects of society's well-being. Inaccurate shared information causes confusion, can adversely affect mental health, and can lead to mis-informed decision-making. Therefore, it is important to implement proactive measures to intervene and curb the spread of misinformation where possible. This has prompted scholars to investigate a variety of intervention strategies for misinformation sharing on social media. This study explores the typology of intervention strategies for addressing misinformation sharing on social media, identifying 4 important clusters - cognition-based, automated-based, information-based, and hybrid-based. The literature selection process utilized the PRISMA method to ensure a systematic and comprehensive analysis of relevant literature while maintaining transparency and reproducibility. A total of 139 articles published from 2013-2023 were then analyzed. Meanwhile, bibliometric analyses were conducted using performance analysis and science mapping techniques for the typology development. A comparative analysis of the typology was conducted to reveal patterns and evolution in the field. This provides valuable insights for both theory and practical applications. Overall, the study concludes that scholarly contributions to scientific research and publication help to address research gaps and expand knowledge in this field. Understanding the evolution of intervention strategies for misinformation sharing on social media can support future research that contributes to the development of more effective and sustainable solutions to this persistent problem.

翻译：社交媒体渠道中广泛传播的错误信息是一个紧迫问题，对社会福祉的诸多方面构成重大威胁。不准确的共享信息会引发困惑，可能对心理健康产生不利影响，并导致决策失误。因此，采取积极措施进行干预并在可能情况下遏制错误信息的传播至关重要。这促使学者们对社交媒体错误信息分享的各种干预策略展开研究。本研究探讨了应对社交媒体错误信息分享的干预策略类型，识别出四个重要集群——基于认知的、基于自动化的、基于信息的以及基于混合的干预策略。文献筛选过程采用PRISMA方法，确保在保持透明度和可重复性的同时对相关文献进行系统全面的分析。共分析了2013年至2023年间发表的139篇文献。同时，采用绩效分析和科学图谱技术进行文献计量分析以构建类型学框架。通过对该类型学进行比较分析，揭示了该领域的发展模式与演进脉络。这为理论研究和实践应用提供了宝贵见解。总体而言，研究结论表明，科学研究与学术出版领域的贡献有助于填补研究空白并拓展该领域的知识体系。理解社交媒体错误信息分享干预策略的演进，能够支持未来研究开发更有效、可持续的解决方案以应对这一长期存在的问题。