1 Introduction

The climate crisis represents one of humanity’s defining challenges of the 21st century, yet public discourse about the environment remains mired in confusion, denial, and strategic misinformation [1]. Despite overwhelming scientific consensus on anthropogenic climate change, coordinated campaigns of misinformation continue to undermine public understanding and delay necessary action [2]. In his seminal work Misinformation & Society [3], Yotam Ophir provides a broad and comprehensive framework for understanding how misinformation manifests as a systemic social and political phenomenon rather than as merely isolated incidents of false information with limited spread. This essay extends Ophir’s more general misinformation analysis to project the future trajectory of climate misinformation specifically, arguing that we are witnessing a fundamental evolution in disinformation tactics that demands equally sophisticated countermeasures.

Ophir’s central contribution lies in his rejection of typical explanations that attribute misinformation solely to technological platforms or political actors. As he says [3, p. 10]: “Like many media effects, the influence of misinformation is not uniform, with the impact tending to be higher on the marginalized, those lacking political, social, economic, and cultural power.” By positioning misinformation as a social phenomenon within an already asymmetrical information ecosystem where structural inequalities in re-sources, attention, and credibility shape the production and circulation of false narratives, Ophir manages to prove that misinformation is a culturally salient threat, in addition to being a political one. As van der Linden et al. [4] find, increasing public perception of scientific consensus on human-caused climate change causally enhances belief in climate change, its human origin, and concern about it - beliefs that could bolster (climate) science in the face of systemic organized opposition.

Society must address the urgent need to mitigate climate misinformation in order to overcome the environmental challenges that will only continue to steeply increase economic costs with increasingly concerning veracity. Recent research demonstrates that exposure to climate misinformation significantly reduces support for mitigation policies and agents’ motivation to change their individual behavior to heal or lessen their own as well as broader social impacts on the environment [5]. The proliferation of misinformation through social media platforms has accelerated the speed and scale at which false narratives spread, creating what Treen et al. [6], Nguyen [7], or Munroe [8] describe as being echo chambers of denial, hotbeds for gaslighting, and conspiracy theory incubators that resist external influence and corrective epistemic interference via traditional fact-checking approaches. See Cook [9] for more on the topology of climate denialist communities.

This essay advances three primary arguments. First, climate misinformation is evolving from crude denial to more sophisticated narratives that accept the reality of climate change while undermining the urgency and feasibility of effective action. Second, emerging technologies, particularly generative artificial intelligence, will fundamentally transform the production and dissemination of climate misinformation in ways that current interventions cannot adequately address (on this, see Leippold et al. [10]). Third and finally, effective responses to misinformation must move beyond individual-level interventions to address the structural social and political conditions that enable misinformation to flourish.

2 Understanding climate misinformation

Ophir’s social science analysis demonstrates that misinformation is not a recent anomaly but a persistent feature of human communication [11], continuously adapting to new technological and social contexts. Ophir traces the genealogy of misinformation from early propaganda techniques through the rise of industrialized and institutionalized public relations and finally into the modern digital intelligence age. For a global history of propaganda and misinformation practices prior to the digital era, see Stanley [12]. The long view Ophir and others before him have proposed is essential for understanding climate misinformation, which emerged from deliberate campaigns modeled on tobacco industry strategies to manufacture scientific controversy [2,13], extending in the modern era to vaccines, health more generally, and, of course, fossil fuels and the environment [3, p. 146, 200].

Within this historically aware basis - an acknowledgment of the social continuity be-tween past and present epistemic struggles - Ophir develops a granular theory of the ways that manufactured doubt spreads as well as the causal mechanism between resistance to change and the extrapolation of fear into conspiracy [14, p. 42], building on the work of Proctor and Schiebinger [15], who coined the term “agnotology” to describe the strategic production of ignorance. In the climate domain, this manifests through three primary mechanisms: selectively citing outlier studies, amplifying scientific uncertainty, and elevating non-expert voices to create false sense of balance in media coverage of a scientifically uncontested subject [16]. These tactics have proven remarkably durable, persisting even as the scientific consensus on climate change has strengthened [17].

A key feature of Ophir’s framework is his argument that “...humanity [has] finally crossed the Rubicon into a new and frightening age of confusion, deception, and inability to discern truth from falsehood” [3, p. 6]. What Ophir suggests is that, instead of a continuity between past and present instances of engineered deception, the new era of misinformation - shaped and defined by social media and now AI [18] - represents a far more dangerous development in the study and practice of media, communications, and politics. This taxonomy is particularly relevant to climate discourse,where technically accurate information about natural climate variability is weaponized to sow doubt and uncertainty about the dominant role of man-made global warming within what is called the Anthropocene [19].

Building on this, Ophir also asks the question of why humans are susceptible to misinformation in the first place and what kinds of interventions might make us less vulnerable (Ophir [3, ch. 12]; see also McPhedran et al. [20] among many other works). Drawing on theories of cognition that are based in behavioral economics, Ophir’s arguments about misinformation could have further exploited the tension between intuitive (System 1) and analytical (System 2) thinking, pioneered by Kahneman [21]). This cognitive framing, prevalent in the literature (e.g., Zanartu et al. [22]), is at the forefront of efforts to understand how and why our brains are influenced by misinformation and conspiracy theories in the first place. Within the context of climate change, which has long temporal scales and is defined by probabilistic framing of the economic and social implications of the science itself, we are especially vulnerable to psychological biases that prioritize immediate, tangible threats over distant, abstract ones. For an overview of how cognitive biases interact with science communication challenges, see Scheufele [23]. Why digital biases manifest so prominently in behavioral research remains an open problem.

Ophir identifies several social mechanisms that facilitate the spread or acceptance of climate misinformation. Prominent among the causes of organized opposition to climate action are “personal attacks, intimidation, and harassment of climate scientists...” [3, p. 147]. This type of alienation of a sector of the scientific establishment (climate science) feeds into conspiracy by defining and demarcating epistemic territory and heritage. In other words, the general public cannot empathize with the plight of climate scientists because they are viewed as elite, self-interested, immoral, and therefore corrupt or complicit in a conspiracy. When fundamental beliefs are intertwined with political identity [24] and that identity is based on an inherited way of life (dependence on fossil fuels for energy) individuals cannot change their beliefs without radically altering their perceptions of their identity. In the U.S., climate change has become so politicized that party affiliation now predicts climate beliefs more strongly than scientific literacy [25]. Relatedly, individuals are also prone to rejecting social problems when they dislike, are unfamiliar with, or there is uncertainty surrounding the proposed solutions [26]. Because addressing climate change requires systemic economic reforms that challenge existing economic ideologies and production paradigms, those committed to existing modes of living are more likely to deny the problem altogether.

Temporal discounting of the damages derived from future climate impacts compounds these effects, as humans systematically undervalue future consequences relative to immediate costs [27] - obscure parts of climate economics are frequently unintelligible to the general public sowing unrest over what should be immutable and urgent action. Climate misinformation capitalizes on this simplicity bias by emphasizing the objective near-term economic costs of climate action while downplaying the (largely) speculative long-term climate risks. Moreover, climate change is perceived as psychologically distant along temporal, spatial, social, and hypothetical dimensions, reducing its perceived relevance and urgency [28]. Ophir shows how these individual-level biases interact with social and technological systems - predominantly the media - to form cognitive infrastructures that sustain misinformation [29]. In particular, Ophir demonstrates how social media algorithms amplify emotionally charged content, creating feedback loops that reinforce false beliefs [30]. On this note, Ophir [3, p. 115] writes that “...equipped with an unprecedented deluge of data, programmers and software engineers can instantaneously measure every reaction to every bit of information (or style); social media companies have perfected the formula like no other before.”

From the epistemic vantage point of media and communications studies, Ophir situates the cognitive and historical dynamics that drive the virality of misinformation within a broader political-economic context. One of his more significant contributions in this regard is the demonstration that misinformation is fundamentally asymmetrical in a twofold manner [14, ch. 6 shows the influence and persistence of misinformation from political and cultural elites]: conservative media and right-wing political actors disseminate climate misinformation at significantly higher rates than their liberal counterparts, particularly on issues such as climate change [31]. In addition, misinformation from social and cultural elites is more likely to be believed that misinformation with a more public origin because of perceptions of authority. This asymmetry, Ophir argues, stems from deeper structural factors surrounding power and the distribution of wealth and influence rather than individual moral behavior of the groups in question [32].

The political economy of climate misinformation is anchored in the climate change countermovement composed of conservative think tanks, front groups, and media outlets funded by fossil fuel interests [33,34]. As Ophir [3, p. 125] writes, “...the media, including the news, are often rife with misinformation, rumors, and politically biased reporting, often verging on acidic cruelty toward and de-humanization of the opposing political side.” Ophir extends prior analyses by showing how this network of conspiratorial agents and predatory institutions selling and dealing in lies has adapted to the digital era, using coordinated climate misinformation to amplify anti-establishment, anti-science, and anti-globalist messages [35].

Importantly, Ophir rejects a technologically deterministic view, arguing that “to understand how we perfected the vehicles through which we spread (mis)information, we must consider how media have changed over time” [3, p. 17]. Platforms such as Facebook and Twitter are not neutral conduits for information; rather, their engagement-driven business models make them active participants in the misinformation ecosystem [36]. By prioritizing viral content - often aligned with avant-garde cultural tropes and memetic media formats [37,38] - these platforms exhibit a systematic bias toward divisive, emotionally charged material, much of which is constituted or composed of misinformation [39]. In the next section, I examine communicative and psychological implications of climate misinformation, using a theoretical lens while drawing on Ophir’s work; I then go on to examine larger scale effects at a structural level.

3 Implications for climate communication

In the urgent context of climate change [40], climate communicators must recognize that misinformation and political predispositions primed through exposure to extremely compelling false narratives can strengthen false beliefs about global warming - among other issues - through motivated reasoning inspired by low quality online memetic and dynamic visual content including video [41,42]. Recognizing the shifting media environment moves the focus of misinformation corrections toward a more comprehensive set of solutions. AI may be a promising digital mechanism that can make a positive contribution to fighting climate misinformation on mainstream platforms, if used carefully and with reasonable restraint.

A further implication of the present heightened climate misinformation environment is the need to translate abstract communication about global temperature increases - based on high-level science - into actionable descriptions of locally salient impacts that help over-come psychological distance from esoteric research [43]. Framing climate impacts in locally relevant terms could increase perceived personal relevance and policy support for carbon emissions abatement and pollution mitigation because more effective conveyance of (health, physical, etc.) risks is often convincing [44].By acknowledging the severity of climate risks, communication strategies can emphasize feasible solutions to counteract aversion to challenging solutions and climate doomism [45]. Balancing anticipation for and resistance to these urgent and necessary changes is at the heart of socially impactful, constructive climate communication, which - if able to withstand the distortions of climate conspiracy-mongering and the regression toward hate, fear, and online social disruption - can effectively combine urgency with a sense of agency.

Ophir’s analysis of online polarization further underscores that meaningful climate action requires building strong online coalitions and cross-community ties that extend beyond traditional environmental constituencies. One such approach involves reframing climate policy to emphasize job creation, energy independence, and the economic benefits of a clean energy transition [46]. Evidence from Karlsson et al. [47] suggests that emphasizing co-benefits such as job creation can increase bipartisan support for climate policies. This economic framing can resonate with conservative audiences who may reject environmentalist rhetoric but are receptive to arguments about growth and prosperity. However, we still need solutions that address adverse incentives online which privilege “viral” content and sensational narratives which may be false. Ophir [3, p. 228] argues that “in an alternate universe, social media companies would find creative ways to reward the sharing of accurate information, the use of fact-checking.” I hope to have provided a more compelling sketch of this form of creative moderation and platform management than has previously been proposed in the literature, in the sections above.

Individual-level interventions—while valuable - cannot on their own address the systemic forces that sustain misinformation. Following Ophir [3, p. 262]’s call for structural and democratically aligned solutions, I would like to outline a few key systemic reforms that may reinforce our shared information ecosystem in order to prevent a regression to chaos, uncertainty, and ignorance. At the platform level, companies must be required to disclose how their algorithms prioritize content, with regular audits to detect and mitigate bias pushing the public unwittingly toward misinformation [48].The scale of online content is so vast, and the management of social media algorithms - even when supplemented (as they are now) by AI - is so complex that software and AI engineers and even product managers of social media platforms may not fully understand why content is surfacing in any one particular individual’s ecosystem. The prevailing advertising-based business model of mainstream platforms rewards engagement and time spent on the platform over accuracy, humanity, and the virtues of scientific truth, and must be reformed [49]. To enhance legitimacy and public trust, users themselves should be able to have meaningful input into platform policies through democratic governance structures embedded in community-based platform management and moderation practices [50]. This array of solutions might take the form of external representative bodies with authority to set content standards composed of members of the public, alongside appeals processes that weigh community norms alongside policies like the platform’s proprietary terms of service.

Finally, any long-term response to climate misinformation must prioritize building epistemic society-wide resilience - the capacity of politically exposed communities to sustain accurate beliefs in the face of persistent attacks peddling systemic and dangerous falsehoods. Education systems, therefore, should move beyond simply teaching scientific facts and instead cultivate scientific and critical thinking skills [51]. These forms of robust acknowledgment and measured reaction to misinformation entails teaching understanding and acceptance of fundamental uncertainty from a young age, and imparting the ability to evaluate the quality of online evidence, as well as an appreciation of the inherently social and objective nature of scientific knowledge production and the value of truly authentic science to society [52].

In parallel to these novel solutions, traditional media literacy efforts must evolve to address the reality of algorithmic curation, AI-generated media, and coordinated campaigns at a large scale [53]. Nyhan and Reifler [54] show that well-intentioned factual corrections can sometimes backfire, increasing misperceptions among ideologically motivated audiences. The scale of online misinformation belies the traditional individual-based reaction conditioning and psychological inoculation strategies. Here, teaching lateral reading skills - verifying online information across multiple independent sources - offers a practical safeguard. In conclusion, building networks of trusted community voices who can trans-late climate science for specific audiences [55] is essential. It is crucial to have information intermediaries as well as epistemic authorities, including religious leaders, healthcare providers, climatologists, economists, and political scientists who are uniquely positioned to communicate effectively across cultural boundaries. Polarization, partisan divisions, and the politicization of science aside, science is the most reliable tool we have to address and combat climate misinformation.

Finally, equally important to online mechanisms for mitigating misinformation harms is highlighting (through journalistic and scientific content) the immediate health benefits of climate action - particularly improvements in air quality - which can appeal to sustain-able grassroots communities as well as high-footprint urban elites across political divides [56]. Fairbrother [57] shows that framing elicits strong support for climate policy across partisan lines, partly because concerns over ecological sustainability transcend political identity in narrow cases related to acknowledgment of the benefits of regulatory climate instruments. Scientists and social scientists play a pivotal role in delivering messages of positivity and environmental hope. Tailoring communication to engage with diverse moral foundations, even and especially including resistant conservative values such as religious belief, populism, and fiscal, economic, and social austerity [58,59], can broaden support across ideological divides. Framing climate action as a way to preserve natural heritage for future generations or as an act of responsible stewardship can speak to shared bipartisan moral commitments, even among audiences with polarized political perspectives.

4 The landscape of climate misinformation

Existing research corroborates Ophir’s sentiment that climate misinformation has evolved beyond outright denial. For example, Lamb et al. [60] identify distinct strategies of climate action obstruction that acknowledge the reality of climate change but at the same time, oppose meaningful action. These efforts represent an evolutionary shift in obstruction tactics. McCright and Dunlap [61]’s earlier work shows how public acknowledgment of climate science coexisted with increasing political resistance to mitigation policies before the global rise in populism. Specifically, some climate deniers suggest that elites have too much confidence in future technological solutions –and assume that there is no way to immediately reduce emission with existing technology. The misinformation-based argument is that with no viable solution, we should do nothing and continue to exploit fossil fuels - the status quo.

Another discourse of delay promotes natural gas as a bridge fuel or markets synthetically derived “clean coal” technologies in ways that perpetuate fossil fuel dependence [62]. This strategy locks-in fossil fuel use and argues that the critical mass of fossil fuel power plants and internal combustion engines prevents rapid transition. Still discourses shift responsibility from systemic change to individual consumer choices, obscuring the role of fossil fuel corporations [63], or deflect Western, industrialized-country responsibility by highlighting other countries’ emissions, particularly those of China and India [64,65].

These evolving narratives are more difficult to counter than outright denial because they contain elements of truth and appeal to legitimate political concerns about the economic impacts and technological feasibility of the green transition. If these narratives define the content of contemporary climate misinformation, the dynamics of its spread are increasingly shaped by social media platforms. Since Ophir’s original analysis, the role of these platforms has intensified. Computational research now reveals sophisticated networks of coordinated accounts dedicated to disseminating climate misinformation [66], exploiting platform algorithms through multiple mechanisms.

At the level of social media content, misinformation is often deliberately engineered to maximize engagement by triggering emotional responses, making controversial or extreme claims, and using polarizing language [67], designed to trigger specific audiences. At the wider social (mis)information campaign level, actors coordinate across multiple platforms, taking advantage of each platform’s unique audience to amplify messages [68], tailoring their strategy to the form of media and type of communication popular on each platform. Sophisticated, platform-based audience segmentation (for example the unique community on TruthSocial [69]) enables tailored misinformation to reach specific demographic, socioeconomic, and politically affiliated profiles [70].

The recent emergence of generative AI has added an additional layer of complexity - one that Ophir’s framework only partially accounts for. Large language models can now produce persuasive misinformation at scale, providing synthesized “evidence” to bolster false environmental and economic claims [71]. Climate misinformation campaigns are already leveraging these tools to create synthetic documentaries denying climate change, fake expert testimonials and interviews, and manipulated data visualizations (graphs, charts, etc.) that are increasingly indistinguishable from authentic content.This has massive implications for the role of human research and authentic science communication in the age of generative AI. Ophir notably does not discuss this at great length [3], p. 85–89, arguing that many humans “perceive machines and algorithms to be inherently less biased and more accurate than humans” and asking whether “algorithms deserve our trust?”].

Beyond platform-based social engineering, climate misinformation has also expanded geographically, becoming an increasingly global phenomenon. While Ophir focuses primarily on the U.S. and Western context, other research highlights distinct regional patterns in the presence of misinformation - local environmental politics are often shaped by political communities and their narratives are sometimes informed by international policy but often are more isolated and autonomous [72]. In Brazil, misinformation often links climate action to threats against national sovereignty over the Amazon [73]. In India, narratives frame climate policy as a form of Western imperialism designed to constrain development [74]. In Europe and North America, opposition tends to emphasize the economic costs of any form of “green new deal” while downplaying climate risks, indeed often claiming that risks are overplayed or non-existent.

The global spread of climate misinformation is both parallel to the wider misinformation epidemic as well as interconnected with the structural and strategic media actors who perpetuate the phenomenon, often both involving carefully tailored economic narratives [75] as well as the ignorant and salacious spread of social discord through language and other media. In the international process of misinformation uptake, fake news originating from a single actor is legitimized through international networks - through reposting, liking, sharing and commenting in online denialist fora - before surfacing and, along with its source, having enhanced credibility because of its visibility within echo-chamber-like communities [76,77]. Russian state media, for instance, frequently amplifies Western climate skeptics, who are then cited by domestic misinformation networks as proof of international validation for their claims [78].

5 Globalized climate misinformation

The trajectory of climate misinformation will be profoundly shaped by rapid advances in artificial intelligence. I project three key developments in the near term. First, within two years, the majority of climate misinformation may be AI-generated, enabling the production of personalized false narratives at unprecedented scale [79,80]. Crucially, these systems will be capable of adapting in real time to fact-checking efforts, generating novel, fake, and malicious variations of truthful content faster than that content can be debunked. For an overview of how generative AI can automate misinformation production and personalization, see Helmus and Chandra [81].

Second, generative AI will facilitate the creation of convincing yet entirely false scientific data - beyond simply news-based, or entertainment-based content - including fabricated temperature data, manipulated satellite imagery, and synthetic “peer-reviewed” papers that mimic even top journals like Science and Nature [82,83]. This form of evidence-based mis-information - less viral but no less dangerous - will be especially challenging to counter because it closely mimics the structure and style of legitimate scientific communication while conveying abjectly false and deeply corrupting propaganda. Recently, Nicholas et al. [84] discusses the risks of AI-generated scientific fraud and falsified research outputs. We cannot yet understand the full environmental implications of these technologies.

In parallel with ongoing and disruptive technological shifts, future climate misinformation will increasingly target economic narratives that exploit genuine concerns about the costs of the green transition. Several themes are likely to emerge. One is already well within scope and involves framing climate action as an elite-imposed burden on working-class communities, linking renewable energy policies to job losses and energy poverty while urban centers transfer wealth, and (sustainable) expertise away from rural communities that still rely on fossil fuel based lifestyles [85]. Such narratives, not without a significant amount of truth, will gain traction, prompting public backlash against economic policies that are seen to favor a privileged agenda. When climate policy competes directly with urgent economic needs it will be difficult to overcome media campaigns suggesting “climate hypocrisy” and elite disconnection within insular wealthy and educated filter bubbles.

Another thread we can anticipate will likely focus on financial risk framing. As fossil fuel assets face devaluation, misinformation campaigns suggesting the harms of green infrastructure will intensify, portraying carbon divestment as economic self-harm and renewable investments as speculative bubbles and their construction as exploitative as fuel extraction and mining [86]. Indeed the 2019 independent film Planet of the Humans does exactly that, wrongly arguing that renewable energy is as harmful as mining and drilling and the subsequent burning and refining of oil and coal. In addition, sophisticated actors will increasingly exploit the genuine complexity and uncertainty inherent in climate modeling to suggest that action is premature [87,88] and that the environmental situation is not a crisis. By cherry-picking legitimate scientific debates, critics and extreme activists already seek to manufacture broader doubt about the credibility and urgency of climate science and this trend will likely continue. See the recent New York Times Magazine article: “It Isn’t Just the U.S.: The Whole World Has Soured on Climate Politics” [89].

Finally, climate misinformation will become an increasingly potent tool of geopolitical strategy. Nation-states already deploy discourse-degrading climatological narratives to justify non-cooperation with international environmental and climate change-related agreements, such as the Paris Accords, framing climate action as a direct threat to national sovereignty and as an undermining force harming international economic competitiveness [90]. It is becoming increasingly likely that internationally, climate nationalism - rooted in a regression to fossil fuel-based energy production and high carbon lock-in policies - will merge with existing populist movements producing powerful anti-climate action coalitions that deny escalating social and physical harms while simultaneously working to delay, deny, and obstruct both proactive political measures and reactive social and economic responses. As climate impacts intensify resource conflicts, misinformation campaigns will also emerge that attribute migration and conflict to causes other than climate change [91]. Climate change will cause wars to be increasingly fought over scare resources degraded by industrial processes harming access to environmental goods such as arable land and fresh water. Climate change will create political reasons to justify the militarization of borders and the hoarding of key economic, technological, and agricultural resources. Countries will increasingly engage in media-based, propaganda warfare, spreading misinformation about the causes of extreme weather events to deflect responsibility or legitimize inaction [92]. On the use of climate and disaster narratives in strategic misinformation campaigns, see Guenther [93]. Climate change misinformation further complicates international cooperation, undermining trust in foreign actors and making climate finance negotiations even more contentious due to vested interests and the presence of fossil fuel executives and billionaires.

6 Conclusion

Yotam Ophir’s Misinformation & Society provides an essential framework for understanding climate misinformation as a systemic phenomenon rather than isolated false beliefs that should be rooted out and individuals’ beliefs “fixed” [94]. Ophir’s integration of historical, sociological, psychological, and structural perspectives reveals how climate misinformation operates within deeper and broader patterns of online information disorder that threaten democratic deliberation about existential challenges. The application of this framework to climate misinformation could bring significant progress in combating the denial of climate science and solutions. Extending Ophir’s analysis reveals that misinformation is an evolving phenomenon where crude climate denial leads to sophisticated delay tactics [95], artificial intelligence enables synthetic climate and politically salient misinformation at unprecedented scale, and where international geopolitical actors weaponize climate narratives for strategic advantage [96]. This essay has suggested that sophisticated responses to misinformation that go beyond simple fact-checking and cautiously approach untested strategies of psychological inoculation can best address the political, social, economic, and structural conditions that enable misinformation to flourish online and offline.

Every day of delayed climate action locks in additional warming, increases adaptation costs, and reduces the feasibility of limiting temperature rise to safe levels [97]. Climate misinformation is one of the main causes of political delay and inaction - it undermines public support for necessary policies and regresses individual behavior change through obfuscation of the truth about climate change. Combating misinformation is not merely about correcting fine-grained false beliefs within individuals but about pre-serving the epistemic foundations necessary for collective social and political action on shared global challenges [14]. I have argued that the path forward requires integration across multiple levels of scale within the context of sustained and targeted social intervention. I have not systematically examined how psychological inoculation can build individual resilience against misinformation, developed elsewhere [98,99], but I have argued that platform governance reforms can also serve to reduce the structural incentives for the production and distribution of misinformation.

Ultimately, ad-dressing climate misinformation requires confronting the sector of the industrial economy that profits from doubt and delay. We need to challenge the concentration of media ownership, the influence of fossil fuel money in politics, and business models that prioritize engagement over truth. Action requires democratic renewal - strengthening the institutions and norms that enable societies to collectively determine truth and act on it. While the challenges are formidable, increased understanding of how climate change misinformation operates creates opportunities for more effective interventions and fundamental remedies that address the root of the problem. The still unanswered question is whether democratic societies can mobilize the political will to fight climate change and the spread of misinformation about it before cascading tipping points make ambitious mitigation and adaptation impossible. Addressing climate misinformation is the cornerstone to protecting future generations through effective sustainable economic transformation.

At this critical juncture, the current status of misinformation research serves as both warning and guide. The warning is clear: without concerted action, climate misinformation will continue to obstruct necessary climate action, with catastrophic consequences for human civilization and Earth’s ecosystems. As a guide, the science is equally clear: by diagnosing misinformation as a complex and systemic social malady, we can develop integrated responses that address its root causes not merely its symptoms. The challenge for future research is to translate the insights gained through the study of climate misinformation into rapid and timely environmental action before the window for effective climate mitigation closes forever.