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The document analyzes 4,798 peer-reviewed publications to determine which social media design interventions effectively reduce misinformation. It identifies a scientific consensus that content labeling and correction information are effective, while the impact of other strategies remains unproven. The report emphasizes the need for more diverse, multi-lingual research and standardized metrics to improve the global information environment.

The report identifies content labeling and corrective information as the most scientifically validated methods for reducing the impact of misinformation on user perception. While other strategies like content management and media literacy are recognized as plausible, their effectiveness remains uncertain due to a lack of rigorous, standardized, and diverse empirical data. The authors call for more research in non-English languages and across more diverse geographic regions to improve the global information environment.

The report analyzes 4,798 peer-reviewed papers to determine which interventions effectively mitigate digital misinformation. While many countermeasures are proposed, fewer than one-fifth report measurable impacts. Meta-analysis of 43 experiments confirms that content labels and corrective information are effective in reducing the effects of misinformation on user perceptions. The authors call for more standardized definitions, robust statistical reporting, and a shift in research focus beyond Western countries and the English language to improve the global information environment.

The report analyzes 43 studies from 18 manuscripts published between 2006 and 2022 to assess how digital platforms can combat misinformation. It finds that content labeling and corrective information both significantly improve users' ability to perceive the accuracy of information, though results vary by topic and design. The analysis highlights a heavy reliance on USA-based samples and a high level of heterogeneity in social science research, suggesting a need for more standardized measures and diverse geographic data.

The International Panel on the Information Environment (IPIE) analyzed 4,798 peer-reviewed publications to determine which design solutions mitigate misinformation. While a systematic review of 588 empirical articles endorsed four strategies, a meta-analysis of 43 experiments validated only two: content labeling and corrective information. The report highlights significant gaps in research, noting a lack of standardized definitions, insufficient data from technology firms, and a heavy bias toward English-language studies focused on Western countries.

The 2023 IPIE expert survey identifies the availability of reliable information and diversity of voices as critical for a healthy information landscape. Social media platforms and politicians are viewed as primary threats across all government types, though specific concerns vary: experts on autocracies highlight state-led manipulation, while those focusing on democracies emphasize foreign interference and climate misinformation. A significant majority of researchers cite the lack of access to platform data as the primary obstacle to understanding the global information environment.

The report identifies a growing scientific consensus that content labeling and corrective information are effective at reducing the impact of disinformation on user perceptions. While other strategies like content moderation and media literacy are plausible, their effectiveness remains uncertain. The document emphasizes a critical need for more transnational, multilingual research and standardized metrics to improve the global information environment.

The IPIE analyzed 4,798 peer-reviewed publications to evaluate strategies for improving the global information environment. A scientific consensus has emerged that content labeling and corrective information are effective in reducing the influence of disinformation on user opinions. While other strategies like content moderation and media literacy are discussed, their effectiveness remains uncertain due to a lack of empirical data and standardized metrics. The report emphasizes the need for more diverse, multi-lingual research and better access to real-world data from tech companies to improve policy development.

The document synthesizes evidence from 4,798 peer-reviewed publications to evaluate strategies for improving the global information environment. It identifies a growing scientific consensus that content labeling and corrective information are effective in reducing the impact of misinformation on user perceptions. While other interventions—such as content moderation, media literacy, and advertising policy changes—are considered reasonable, the report notes that evidence for their effectiveness is less certain. The analysis highlights significant gaps in current research, specifically the over-reliance on English-language studies and Western contexts, and calls for more standardized definitions, better data access from tech companies, and cross-national, multilingual research to better inform policy interventions.

The IPIE analyzed 4,798 peer-reviewed publications, including a systematic review of 588 articles and a meta-analysis of 43 experiments, to evaluate strategies for improving the global information environment. The findings establish a scientific consensus that content labeling and corrective information are effective in reducing the impact of misinformation on user perceptions. While other interventions such as content moderation and media literacy are plausible, there is less consensus on their effectiveness due to inconsistent study designs and a lack of measurable impact data. The report highlights significant research gaps, noting that most studies are published in English and focus on Western countries, and calls for more standardized definitions, better access to platform data, and more diverse, multilingual research to better understand the global information landscape.

The document identifies content labeling and corrective information as the only two countermeasures with emerging scientific consensus and empirical validation for reducing the effects of misinformation on user perception. While other strategies like content moderation and media literacy are considered plausible, the report highlights a critical lack of robust, multi-lingual, and non-Western research, noting that less than one-fifth of studied countermeasures reported a measurable impact.

The International Panel on the Information Environment (IPIE) analyzed 4,798 peer-reviewed publications to identify effective countermeasures against digital misinformation. The synthesis, comprising a systematic review of 588 articles and a meta-analysis of 43 experiments from 18 publications, found emerging scientific consensus that content labeling and corrective information are effective in reducing the impact of misinformation on user beliefs. Other strategies, such as content moderation, media literacy, and reporting mechanisms, are considered acceptable but lack consistent evidence of effectiveness. The report highlights a critical need for more research involving non-English languages, diverse global geographies beyond Western countries, and access to real-world industry data to strengthen the global information environment.

The document examines the GHG footprints of soy production, emphasizing that land-use change (LUC) is the primary driver of emissions. It details emissions from farm-gate activities, processing, and transport, while comparing production systems and regional impacts, particularly in South America. Mitigation priorities focus on preventing deforestation and improving tillage and fertilizer practices.

The report examines how voluntary sustainability standards (VSSs) can support poverty reduction for smallholder farmers across three dimensions: access to resources, opportunities and choices, and power and voice. Through an analysis of 13 major VSSs and interviews in six countries, it finds that while VSSs can improve crop income, natural resource management, and skills development, their overall impact on poverty is inconclusive and context-specific. Significant barriers to smallholder access include high certification costs, limited financial resources, and asymmetrical power relations in supply chains. The report recommends that VSSs better integrate gender equality, support business diversification, and harmonize standards, while urging governments to provide better land tenure and financial support to enable smallholder compliance.

The report analyzes 11 recent studies, concluding that a transition to 80% clean electricity by 2030 in the U.S. is feasible, affordable, and critical for meeting national climate goals. Key findings indicate that such a transition would be driven primarily by wind, solar, and battery storage, resulting in significant job growth, reduced premature deaths, and substantial avoided health and climate damages, with minimal impact on consumer electricity bills.

The study analyzes 122 trials across 25 countries to evaluate interventions for reducing residential energy consumption, finding that while both monetary and non-monetary tools are effective, monetary incentives generally yield more pronounced results.

A meta-analysis of eight recent studies indicates that the United States can achieve approximately 80% clean electricity by 2030 at minimal cost. The findings suggest that such a transition would drive 500,000 to 1 million net new jobs, avoid up to $3 trillion in health and climate damages by 2050, and is essential for meeting the Biden administration's GHG emissions reduction targets. The analysis concludes that a strong national clean electricity standard (CES) is the most effective policy mechanism, primarily driving the deployment of wind, solar, and battery storage.

The Global Innovation Lab for Climate Finance (the Lab) has supported 49 instruments that mobilized over USD 2.3 billion. This document identifies four critical success factors for scaling these innovations: establishing a track record, building economies of scale, assembling a robust team and governance structure, and securing strategic long-term partnerships. Through case studies of Climate Investor One, Energy Savings Insurance, and Long-Term Foreign Exchange Risk Management, the brief demonstrates how these factors enable instruments to move beyond initial implementation to broader geographic or sectoral replication.

The report evaluates two ecotechnologies for nutrient recovery from anaerobic digestate: struvite precipitation and ammonia stripping. Findings indicate that struvite precipitation is highly effective, particularly around pH 9.5 and with a magnesium-to-limiting-reactant ratio up to 4:1. Struvite is found to be a suitable phosphorus fertiliser for various crops, often yielding results comparable to mineral fertilisers. Ammonia stripping is also identified as effective, though the evidence base is too heterogeneous for quantitative synthesis. The review highlights a need for more field-scale and long-term validation of these technologies, especially within the Baltic Sea Region.

The report identifies storage/cold storage, decentralized renewable energy, feeder roads, and irrigation as critical rural infrastructure for ending hunger. It argues that while these assets are essential for increasing agricultural productivity and farmer income, they face significant financing barriers due to high perceived risks and low population densities in rural areas. The authors propose a mix of donor aid, public spending, and private capital, utilizing innovative instruments such as availability payments, shadow tolls, blended finance, and viability gap funding to make these projects commercially viable and sustainable.