Introduction Climate change misinformation refers to false or misleading information that contradicts established climate science and misleads the public or policymakers. This research topic is significant because misinformation is widely recognized as a barrier to effective climate action. Organized climate-change “contrarian” campaigns have played a major role in spreading misinformation and delaying meaningful policy responses . By sowing doubt about scientific consensus and creating confusion, misinformation erodes public understanding and support for mitigation policies . For instance, even small skeptical minorities can have large effects on the public’s beliefs and preferences regarding environmental regulations . Given the urgency of the climate crisis, it is crucial to understand how misinformation undermines climate change policy efforts and what can be done to counter it. This literature review covers studies from 2010 through 2024 that examine the impact of misinformation on climate change policy. The focus is on peer-reviewed research in English that directly addresses climate policy or public support for climate action. By synthesizing findings across disciplines – including climate communication, political science, and psychology – the review will elucidate the ways in which misinformation influences policy processes and outcomes. Studying this topic is highly relevant for both scholarship and policymaking: misperceptions about climate change can weaken public demand for action and provide political cover for delaying policies . Understanding these dynamics can inform better communication strategies and policy interventions to neutralize misinformation and build durable support for climate solutions. Search Strategy Development To capture relevant literature, a systematic search strategy was employed across multiple academic databases. Key databases included Web of Science, Scopus, and Google Scholar, chosen for their broad coverage of peer-reviewed journals and interdisciplinary content. In developing search queries, multiple keywords and Boolean operators were used to ensure comprehensive results. For example, combinations of terms like “climate change”, “misinformation”, “disinformation”, “climate policy”, “public opinion”, “climate denial”, and “support for climate action” were queried. Boolean operators helped refine the search (e.g., “climate change” AND misinformation AND policy, climate AND (misinformation OR disinformation) AND (policy OR public opinion)). Advanced search filters were applied to limit results to the 2010–2024 timeframe, English language, and scholarly sources. Inclusion criteria were defined to focus on high-quality and relevant studies. To be included, sources had to be peer-reviewed articles, books, or systematic reports presenting empirical research or substantive review on climate change misinformation with clear implications for policy or public support. We emphasized studies examining how misinformation affects people’s attitudes, perceptions, or support regarding climate policies, as well as research on communication strategies to address misinformation. Exclusion criteria were applied to omit non-scholarly content such as news articles, opinion essays, or commentary pieces lacking empirical evidence. We also excluded studies not substantially related to climate policy (for example, papers solely about climate science misconceptions without a policy angle). However, some credible gray literature (e.g. reports by research institutes) were cross-checked via Google Scholar to ensure important findings were not missed. By iteratively refining search terms and criteria, we developed a robust set of sources for review. Source Selection and Evaluation Identified sources underwent a screening process to select the most relevant and credible studies. Credibility criteria included the reputation of the publication (established journals and publishers), whether the work was peer-reviewed, and the authors’ expertise in climate communication or policy research. Each source’s methodology was evaluated to ensure rigor: for instance, we noted whether studies used experimental designs, surveys of representative samples, content analyses of media, or case studies of policy processes. Preference was given to studies with clear, transparent methods and sufficient sample sizes or data to support their conclusions. During selection, we prioritized sources that provided empirical insight into misinformation’s impact. For example, experimental studies demonstrating changes in public opinion after exposure to misinformation were deemed highly informative . We also included large-scale content analyses that traced misinformation campaigns over time or network analyses of climate denial actors, as these illuminate the sources and spread of misinformation  . On the other hand, sources were excluded if they lacked direct relevance (e.g. studies of climate knowledge without mention of misinformation), or if their quality was doubtful (such as non-peer-reviewed opinion pieces). In total, we selected a balanced set of empirical studies, literature reviews, and meta-analyses that together offer a comprehensive view of how climate misinformation originates, operates, and affects policy discourse. This careful selection and evaluation process strengthen the validity of the literature synthesis by ensuring that conclusions are drawn from reliable and pertinent research. Thematic Literature Synthesis Sources and Types of Misinformation Research indicates that climate change misinformation often stems from organized, well-funded campaigns with vested interests. Fossil fuel industry groups and allied political actors have long been identified as key sources spreading disinformation to sow doubt about climate science  . Historical analyses reveal that major fossil companies knew about climate risks but funded climate denial messaging to oppose environmental regulations . These efforts are part of what scholars have termed the “climate change counter-movement” or “denial machine”, consisting of a network of think tanks, lobbying organizations, and front groups that produce misleading narratives . For example, conservative think tanks and contrarian blogs have promulgated a steady stream of contrarian claims, often attacking the integrity of climate science and scientists  . Studies have traced how corporate and dark-money funding correlates with the prevalence of specific denial arguments in these outlets . Misinformation is disseminated through various media channels and influencers. Biased or partisan media outlets can amplify false or misleading climate claims, contributing to public confusion. One prominent example is “false-balance” coverage in news media – giving equal weight to a tiny minority of climate skeptics – which misleads the public into perceiving an evenly divided scientific debate and reduces understanding of the true scientific consensus  . Such practices were more common in earlier years but persist in some outlets, notably highly partisan ones . Additionally, social media has emerged as a fertile ground for climate misinformation: studies find that platforms like YouTube and Twitter host abundant anti-scientific climate content and echo chambers that reinforce false beliefs . Prominent public figures – including certain politicians, commentators, and bloggers – also act as misinformation vectors, repeating and legitimizing false claims. A recent review of online climate misinformation mapped the ecosystem as a network: corporate and ideological funders (especially in the fossil sector) fund think tanks and groups that create disinformation, which is then propagated by sympathetic media, politicians, and bloggers, ultimately reaching the general public  . This pipeline shows how misinformation flows from “actors” (funders/producers) to “influencers” to the public, often creating echo chambers that intensify polarizing narratives. Climate misinformation takes multiple forms and frames. A comprehensive taxonomy of contrarian climate claims identifies five major categories of misinformation: (1) denying that climate change is happening, (2) denying that humans are the cause, (3) downplaying the severity or impacts of climate change, (4) arguing that solutions (like renewable energy or policies) won’t work or are too costly, and (5) attacking the credibility of climate science and scientists . These align with common themes such as “it’s not real,” “it’s not us,” “it’s not bad,” “solutions are ineffective,” and “scientists are unreliable.” Within these broad types, specific tactics include casting doubt on temperature records, promoting conspiracy theories (e.g. climate change as a hoax), emphasizing uncertainties, and framing climate policies as economically disastrous or threatening to personal freedoms. For instance, industry-linked groups often deploy economic and political framing, portraying climate policies as harmful to jobs or as government overreach, thereby shifting debate from scientific facts to ideological preferences  . Overall, the literature documents a spectrum of misinformation, from outright false scientific claims to subtler distortion and framing techniques, all aimed at undermining the public’s sense of urgency and justification for climate action. Effects on Public Support for Climate Policies A dominant finding across studies is that exposure to climate misinformation can significantly reduce public support for climate change policies. Misinformation operates by changing individuals’ perceptions of facts and risks, which in turn influences their policy preferences. Experimental evidence demonstrates this effect clearly: when people are presented with even a small amount of contrarian information, their willingness to support climate policy drops. Even minimal exposure to climate misinformation can quickly and significantly degrade public support for environmental regulations . One survey experiment showed that introducing just a modest level of scientific dissent (for example, suggesting that only 80% of scientists agree on climate change rather than near-unanimous consensus) led to a measurable decline in approval for climate policies  . In the same vein, Aklin and Urpelainen (2014) found that “even small skeptical minorities can have large effects on the American public’s beliefs and preferences regarding environmental regulation” . These findings underscore how a handful of false or dissenting voices, amplified in public discourse, can erode confidence in climate action. Misinformation’s impact is often mediated through perceptions of scientific consensus and risk. By undermining the public’s understanding that there is overwhelming scientific agreement on human-caused climate change, misinformation reduces the sense of urgency. When people falsely believe that scientists are divided, they tend to view climate risks as less certain and are less inclined to back policy interventions. Research has shown that false-balance media coverage and skeptic talking points lower the perceived scientific consensus and seriousness of climate change, which correlates with lower support for mitigation policies  . Moreover, climate misinformation contributes to public polarization on climate issues . It often links to ideological cues (for example, framing climate change as a political or cultural wedge issue), causing people to align their climate opinions with partisan identities. Studies note that in the U.S., misinformation-laden narratives are tightly interwoven with partisan media ecosystems, exacerbating divides . As a result, citizens on different sides of the ideological spectrum not only disagree on policies but even on basic climate facts, making consensus on solutions harder to achieve. This polarization effect is compounded by social media echo chambers that reinforce one’s pre-existing beliefs  . Another documented effect of persistent misinformation is the phenomenon of “climate silence.” When misinformation clouds the issue or politicizes it, people may avoid discussing climate change at all, leading to lower salience of the issue. Researchers have observed that exposure to contrarian claims can reinforce a silence or ambivalence around climate change (e.g., people might doubt their knowledge or feel the topic is too controversial) . This dampening of public discourse in turn diminishes public pressure on elected officials to act. Misinformation can even influence the behavior of climate scientists and experts in policy debates – for instance, intense public criticism fueled by false claims has sometimes led scientists to use more cautious language or avoid advocacy, indirectly affecting how forcefully climate findings are communicated . At the policy-making level, legislators who are receptive to misleading narratives may cite debunked studies or fringe opinions to justify inaction. Historical analyses of U.S. climate policy debates have found that climate contrarian talking points (often originating from industry-funded sources) frequently surface in congressional hearings and media commentary, contributing to legislative gridlock  . In summary, the literature converges on the conclusion that climate misinformation reduces public knowledge, fosters skepticism, increases ideological polarization, and ultimately weakens support for climate policies . These effects pose a serious challenge to implementing the robust measures needed to address climate change. Strategies to Counteract Misinformation Confronted with the detrimental impacts of misinformation, scholars have explored a variety of strategies to counteract false climate narratives and protect public support for climate policies. The literature on countermeasures spans educational, communicative, technological, and policy-based approaches  . A first broad category involves education and media literacy. Many studies emphasize improving the public’s ability to critically evaluate information. This includes teaching critical-thinking skills and increasing climate science literacy so that individuals can better discern scientific facts from false claims . One approach, sometimes called agnotology-based education, actually uses common climate myths as examples in teaching, training people to recognize the rhetorical techniques of misinformation (though this must be done carefully to avoid unintentionally reinforcing the myths) . Building a baseline of knowledge – for example, about the scientific consensus on climate change – is shown to “inoculate” the audience against subsequent exposure to misinformation  . Simply put, a well-informed public is less likely to be swayed by falsehoods. Inoculation theory has indeed emerged as a leading strategy in climate misinformation research. Attitudinal inoculation involves exposing people to weakened doses of misinformation or forewarning them about misleading tactics, paired with refutations, in order to preemptively immunize them against full-blown falsehoods. Experiments have demonstrated that inoculation can neutralize the influence of misinformation. For example, providing a brief warning that “you may be exposed to politically motivated climate myths” or preemptively explaining the fallacy behind a common myth can significantly reduce the myth’s impact if and when people encounter it . One study found that informing participants about the techniques used in misinformation (such as cherry-picking data) reduced the persuasiveness of a climate denial article – essentially, the participants “resisted” the misinformation once they had been inoculated  . Moreover, highlighting scientific consensus is a powerful inoculating message; by repeatedly communicating that 97%+ of climate scientists agree on human-caused warming, communicators can raise public acceptance of the science and counter the effect of contrary claims . Overall, preventive strategies like prebunking (preemptive debunking) have shown promise in **“defanging” climate misinformation before it spreads . When misinformation has already taken hold, reactive strategies become important. One key approach is fact-checking and debunking false claims after they appear. Corrective information – for instance, media outlets or independent fact-checkers publishing rebuttals to viral climate myths – can mitigate misperceptions. Research suggests that debunking is more effective when it is timely, clear, and credible. It helps to provide a factual alternative to fill the mental gap left by the refuted myth, and to explain why the misinformation was wrong or misleading . However, scholars caution that debunking efforts face challenges like the “backfire effect” (in which corrections inadvertently reinforce false beliefs for some audiences) and the “continued influence effect” (where people retain echoes of the misinformation in memory even after acknowledging a correction)  . To minimize these risks, experts recommend framing corrections in a non-confrontational manner and using trusted messengers. For example, a correction delivered by a Republican meteorologist to a Republican audience about a climate myth may be more persuasive than the same correction coming from a partisan opponent  . In practice, combining approaches can be effective: one might issue a factual correction (e.g., “global warming has not paused; the past decade was the hottest on record”) while also pointing out the logical fallacy in the myth (thereby “vaccinating” the audience against similar claims). Beyond the content of messages, there is growing focus on structural and policy interventions to curb the spread of climate misinformation. Because so much misinformation proliferates online, some researchers advocate “technocognition” solutions – socio-technological measures that integrate tech fixes with cognitive insights . These include improving algorithms on social media to down-rank false or misleading content, early detection of bots or fake accounts that amplify disinformation, and platform policies to flag or remove demonstrably false claims  . For instance, an algorithm might be tweaked to promote authoritative climate information (like IPCC reports) in search results or feeds, while deprioritizing known conspiracy sites. However, such measures raise concerns about freedom of expression and who decides what qualifies as “misinformation,” leading to debates on potential over-censorship  . Some literature also discusses regulatory and governance approaches. These range from industry self-regulation (encouraging media outlets and social media platforms to adopt stricter standards on climate misinformation) to government policies that penalize orchestrated disinformation campaigns. In some countries, legal tools like fines have been considered for spreading proven falsehoods that harm public interests  . While outright punishment is controversial, transparency measures could be a middle ground – for example, requiring disclosure of funding sources for climate-related advertisements and content, to expose potential vested interests behind certain messages. Collaborative approaches have also been highlighted: initiatives where scientists, educators, policymakers, and media work together to increase the reach of accurate information and rapidly respond to viral myths . For example, climate scientists and policy experts might partner with local governments to run public webinars or information campaigns debunking prevalent myths in the community. In summary, the literature suggests a multipronged response to climate misinformation: prevention through education and inoculation, direct refutation of false claims, and structural changes to the information ecosystem. No single strategy is foolproof – each comes with caveats, and their effectiveness can vary by audience. Therefore, experts often recommend combining strategies (e.g., inoculation plus fact-checking plus improved information delivery) to create resilience against misinformation. The goal is not only to correct falsehoods, but to build long-term public immunity to misleading information so that societies can engage with climate policy debates on the basis of facts and informed values. Critical Analysis Strengths of existing research: Over the past decade, research on climate misinformation and policy has become increasingly rich and interdisciplinary. One strength is the diverse methodological approaches used to study the problem. Experimental studies (in both lab and field settings) have provided clear evidence of causal effects of misinformation on attitudes , while large-N surveys have charted the correlation between misinformation exposure and policy opinions across populations. Content analyses and network analyses, such as the classification of contrarian claims , offer detailed insight into the supply side of misinformation – identifying key actors, narratives, and tactics. The convergence of findings from these methods lends credibility to the conclusion that misinformation undermines climate policy support. Another strength is that researchers have drawn on established theories in psychology and communication, like inoculation theory, framing, and motivated reasoning, to design interventions and interpret results. This theoretical grounding helps integrate climate-specific findings into broader understandings of misinformation effects. Importantly, there is now a consensus within the scholarly community that climate misinformation is a significant obstacle to public engagement and policy progress , which has spurred a focused exploration of solutions (e.g., consensus messaging, debunking techniques). In terms of scope, the literature since 2010 has expanded beyond just documenting the existence of climate denial to examining its mechanisms and consequences, which marks a maturation of research on this topic. Despite these strengths, there are several weaknesses and limitations in the existing body of research. One notable issue is a geographical bias: much of the climate misinformation research is centered on the United States and other Western contexts, where partisan polarization on climate change is high  . As a recent scoping review protocol observed, the majority of findings to date apply to the U.S., limiting generalizability to other settings . Fewer studies have looked at misinformation impacts in developing countries or non-English media environments, where the dynamics might differ. Another limitation relates to methodological gaps. While experiments show short-term effects of misinformation on opinions, we know less about the long-term impact – do brief attitude changes translate into durable shifts in voting behavior or policy outcomes? Longitudinal studies are relatively scarce. Likewise, many intervention studies (e.g., testing an inoculation message) are done in controlled settings; their real-world effectiveness at scale is not fully established. There may also be a publication bias toward studies that find significant effects of misinformation, whereas instances where misinformation had negligible impact might be under-reported. This could overstate the average influence of false information. Additionally, some research relies on self-reported media consumption or beliefs, which can introduce response biases or inaccuracies. For example, survey respondents might not accurately recall their exposure to misinformation, making it hard to pin down cause-effect relationships outside the lab. Another challenge is disentangling correlation from causation in observational studies. As noted in media studies, people who watch certain news networks (like Fox News) tend to have lower acceptance of climate science and policy  , but it can be difficult to determine how much the media influenced them versus pre-existing attitudes leading them to select that media. Researchers attempt to address this with panel data or instrumental variables, but such analyses are complex and still relatively rare in this domain. Potential biases in existing research should also be considered. Climate misinformation studies often have an implicit normative stance (i.e., pro-science, pro-mitigation), which is understandable given the factual consensus on climate change. However, this can lead to framing biases where researchers might focus on certain types of misinformation (e.g., denial of science) while paying less attention to others. For instance, as one article pointed out, the literature on “climate alarmism” (exaggerated claims of climate impacts) is negligible compared to that on climate skepticism . Although alarmist misinformation is less common, the near-exclusive focus on denial could be broadened to ensure that misinformation on both extremes of the spectrum is studied. Gaps in the literature highlight opportunities for further investigation. One gap is understanding the effectiveness of policy-level interventions against misinformation. While we have substantial knowledge on communication techniques (inoculation, fact-checking, etc.), there is less research on what governments and institutions can do systemically – for example, how might climate misinformation be mitigated through education curricula, or what is the impact of regulatory actions like misinformation labels on social media? Another gap is the need for cross-cultural research: how does climate misinformation operate in countries with different media systems, or where climate change is less politicized? Early evidence suggests that tactics and impacts can vary (for instance, misinformation in some countries might center on different narratives, such as conflicts over climate justice, rather than science denial per se). Finally, researchers have noted the need for interdisciplinary and scalable solutions  . The complexity of online misinformation – involving algorithms, social psychology, and political behavior – means that no single field has all the answers. There is a growing call for collaboration between data scientists, climate scientists, social psychologists, and policymakers to develop tools that can monitor and counter misinformation in real time. In sum, while the existing literature robustly establishes that misinformation hampers climate policy progress, it is still evolving to fully address how to counter that influence in practice and how to adapt strategies to different contexts and future misinformation tactics. Conclusion and Future Research Directions In conclusion, the literature from 2010–2024 demonstrates that misinformation has a tangible, negative impact on climate change policy by distorting public perceptions and undermining support for mitigation and adaptation efforts. Through an array of studies, we see a consistent pattern: organized misinformation campaigns – often rooted in certain industries or ideological groups – have successfully introduced confusion and doubt into public discourse . This has led to lower acceptance of climate science, increased polarization, and delays in policy action, as evidenced by both experimental and observational research. Key findings from the reviewed studies include: (1) the identification of major misinformation sources and narratives (such as the fossil-fuel-funded climate denial network and its common arguments), (2) empirical proof that misinformation erodes public support for climate policies (even a small amount of false dissent can notably shift attitudes ), and (3) the development of various counter-strategies with demonstrated potential, like inoculation messages that preemptively blunt the effect of misleading claims  . Together, these insights highlight that combating misinformation is not ancillary but rather central to advancing climate policy, as public belief in climate change and willingness to act are foundational to enacting robust measures. The implications for future research and policymaking are multifaceted. For researchers, one clear direction is to address the gaps identified above. Comparative studies across different countries or cultural contexts would enrich our understanding of how misinformation’s impact may differ globally, and what countermeasures are most effective in various environments. There is also a need for more research on the longevity of misinformation effects – for instance, do one-time corrections have lasting influence, or must interventions be repeated regularly to reinforce accurate beliefs? Long-term panel studies could shed light on whether public opinion “rebounds” after misinformation campaigns subside, or whether early exposure has a lasting cohort effect on climate views. Additionally, as the tactics of misinformation evolve (e.g., the rise of deepfakes or more sophisticated bots), research will need to keep pace with emerging threats and test innovative responses (perhaps drawing from fields like network science and AI to detect and counter falsified content). For policymakers and communicators, the literature suggests several actionable insights. Firstly, integrating misinformation awareness into climate policy initiatives is crucial. This could mean that alongside proposing a new climate policy, governments invest in public education campaigns that preempt known myths about that policy (for example, if introducing a carbon tax, proactively counter the myth that it will “destroy the economy” by sharing evidence of economic resilience in other cases). Policymakers should also consider supporting independent fact-checking organizations and science communication efforts as part of the broader climate action strategy. Another implication is the value of trusted messengers: scientists, community leaders, or even unlikely allies (like climate-concerned conservatives speaking to conservative audiences) can be pivotal in correcting falsehoods in ways that resonate with different groups. Future research can assist policy by evaluating which messaging strategies best build bipartisan support in the face of misinformation, thereby helping to depolarize climate issues. It’s also recommended to explore policy-oriented solutions such as transparency requirements for social media (to make the sources of climate information clearer) or the promotion of quality journalism, and to study their effectiveness and any unintended consequences. In sum, tackling climate change effectively will require not only technological and economic solutions but also informational integrity. The literature reviewed makes clear that misinformation is not a trivial sideshow – it materially affects the trajectory of climate policy by shaping the social and political context in which decisions are made. As such, an important future direction is to create stronger links between research and practice: policymakers should utilize findings from misinformation studies to design communication campaigns and policies, and researchers should focus on pragmatic questions that can guide real-world interventions. By addressing the persistent influence of misinformation, society can better ensure that climate change policies are debated and decided on the basis of scientific evidence and shared values, rather than false narratives. This alignment of public understanding with reality is essential for mobilizing informed, democratic support for the ambitious policies needed to combat climate change. References (APA 7th edition): • Aklin, M., & Urpelainen, J. (2014). Perceptions of scientific dissent undermine public support for environmental policy. Environmental Science & Policy, 38, 173–183. https://doi.org/10.1016/j.envsci.2013.10.006 • Coan, T. G., Boussalis, C., Cook, J., & Nanko, M. O. (2021). Computer-assisted classification of contrarian claims about climate change. Scientific Reports, 11, 22320. https://doi.org/10.1038/s41598-021-01714-4 • Lewandowsky, S. (2021). Climate change disinformation and how to combat it. Annual Review of Public Health, 42, 1–21. https://doi.org/10.1146/annurev-publhealth-090419-102409 • Magar, N. T., Thapa, B. J., & Li, Y. (2024). Climate change misinformation in the United States: An actor–network analysis. Journal of Media, 5(2), 595–613. https://doi.org/10.3390/journalmedia5020040 • Treen, K. M. d. I., Williams, H. T. P., & O’Neill, S. J. (2020). Online misinformation about climate change. Wiley Interdisciplinary Reviews: Climate Change, 11(5), e665. https://doi.org/10.1002/wcc.665 • Vivion, M., Diallo, T., Amlani, A. A., Sauvageau, C., & Dubé, È. (2024). Misinformation about climate change and related environmental events on social media: Protocol for a scoping review. JMIR Research Protocols, 13(1), e59345. https://doi.org/10.2196/59345