Intervention strategies for misinformation sharing on social media: A bibliometric analysis

TL;DR

This paper systematically analyzes intervention strategies for misinformation sharing on social media, categorizing them into four types and examining their evolution through bibliometric analysis of 139 studies from 2013 to 2023.

Contribution

It introduces a typology of intervention strategies and provides a comprehensive bibliometric analysis of relevant literature, revealing patterns and trends in the field.

Findings

Identified four main clusters of intervention strategies: cognition-based, automated-based, information-based, hybrid-based.

Mapped the evolution and trends in misinformation intervention research over a decade.

Provided insights to guide future research and practical solutions for misinformation mitigation.

Abstract

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.