[Paper Review] How can we combat online misinformation? A systematic overview of current interventions and their efficacy

Pica Johansson, Florence E. Enock+5 more|arXiv (Cornell University)|Dec 22, 2022

Misinformation and Its Impacts4 citations

TL;DR

This paper presents a systematic, three-tiered framework to categorize and evaluate interventions against online misinformation, organizing them into: (1) preparation to reduce susceptibility, (2) curbing spread and effects, and (3) responsive actions. It synthesizes existing research to assess efficacy, offering policymakers and researchers a structured, evidence-based tool to evaluate and select interventions, with key findings highlighting the moderate to strong effectiveness of media literacy and pre-bunking, while fact-checking and algorithmic interventions show mixed results.

ABSTRACT

The spread of misinformation is a pressing global problem that has elicited a range of responses from researchers, policymakers, civil society and industry. Over the past decade, these stakeholders have developed many interventions to tackle misinformation that vary across factors such as which effects of misinformation they hope to target, at what stage in the misinformation lifecycle they are aimed at, and who they are implemented by. These interventions also differ in how effective they are at reducing susceptibility to (and curbing the spread of) misinformation. In recent years, a vast amount of scholarly work on misinformation has become available, which extends across multiple disciplines and methodologies. It has become increasingly difficult to comprehensively map all of the available interventions, assess their efficacy, and understand the challenges, opportunities and tradeoffs associated with using them. Few papers have systematically assessed and compared the various interventions, which has led to a lack of understanding in civic and policymaking discourses. With this in mind, we develop a new hierarchical framework for understanding interventions against misinformation online. The framework comprises three key elements: Interventions that Prepare people to be less susceptible; Interventions that Curb the spread and effects of misinformation; and Interventions that Respond to misinformation. We outline how different interventions are thought to work, categorise them, and summarise the available evidence on their efficacy; offering researchers, policymakers and practitioners working to combat online misinformation both an analytical framework that they can use to understand and evaluate different interventions (and which could be extended to address new interventions that we do not describe here) and a summary of the range of interventions that have been proposed to date.

Motivation & Objective

• To address the growing challenge of online misinformation by systematically mapping and evaluating existing interventions across disciplines and methodologies.
• To develop a hierarchical, evidence-based framework that organizes interventions into three core categories: preparation, curtailment, and response.
• To assess the efficacy of interventions across different stages of the misinformation lifecycle, identifying strengths, limitations, and tradeoffs.
• To reduce fragmentation in civic and policymaking discourse by synthesizing scattered scholarly work into a coherent analytical tool.
• To provide researchers, practitioners, and policymakers with a reusable framework to evaluate current and future interventions.

Proposed method

• The authors conducted a systematic overview of scholarly literature on online misinformation interventions, drawing from multiple disciplines including computer science, sociology, and communication studies.
• They developed a hierarchical framework with three main intervention types: (1) preparing individuals to resist misinformation, (2) reducing the spread and impact of misinformation, and (3) responding to misinformation after it emerges.
• Interventions were categorized based on target stage in the misinformation lifecycle, implementation actor (e.g., platform, educator, fact-checker), and intended mechanism of action.
• The study synthesized evidence on intervention efficacy using existing meta-analyses, RCTs, and observational studies, focusing on outcomes like reduced susceptibility, decreased sharing, and improved detection.
• The framework was validated through iterative review and alignment with existing literature to ensure conceptual clarity and practical utility.
• The paper emphasizes the importance of context, timing, and implementation fidelity in determining intervention success.

Experimental results

Research questions

• RQ1 How can interventions against online misinformation be systematically categorized based on their mechanism and timing in the misinformation lifecycle?
• RQ2 What is the relative efficacy of different intervention types—preparation, curtailment, and response—in reducing susceptibility to and spread of misinformation?
• RQ3 What are the key challenges, tradeoffs, and contextual factors affecting the success of misinformation interventions?
• RQ4 How do interventions vary in effectiveness depending on the stage of misinformation (e.g., pre-emptive vs. reactive)?
• RQ5 What evidence supports the use of specific interventions such as media literacy, pre-bunking, fact-checking, or algorithmic filtering?

Key findings

• Media literacy and pre-bunking interventions show moderate to strong evidence of reducing susceptibility to misinformation, particularly when delivered before exposure.
• Fact-checking interventions have mixed effectiveness, with some studies showing short-term impact but limited long-term retention or behavioral change.
• Interventions that target the platform level—such as content moderation and algorithmic filtering—show variable results, often constrained by scalability, transparency, and potential for bias.
• Curtailment strategies, such as warning labels and source credibility indicators, are more effective when combined with educational components.
• The effectiveness of interventions is highly context-dependent, with cultural, political, and technological factors significantly influencing outcomes.
• There is a notable gap in long-term evaluation of interventions, with most studies focusing on short-term behavioral or attitudinal changes rather than sustained impact.