Media and Information Literacy as Democratic Resilience: Combating AI-Driven Disinformation in Mexico’s Electoral Processes

Abstract

This article investigates the strategies employed by civil society and academic actors in Mexico to develop media and information literacy (MIL), fact-checking, and digital media observation in response to artificial intelligence-mediated disinformation during electoral processes. The analysis centers on the case of the fact-checking organization Verificado and the academic monitoring initiatives of the Digital Media Observatory at Tecnológico de Monterrey (OMD-Tec). The study adopts UNESCO’s MIL approach as its primary analytical framework, complemented by perspectives from Media Ecology and General Semantics. The article proposes a collaborative model between civil society organizations and universities to address technological and informational challenges in critical contexts, thereby contributing to the sustainability of democratic systems in Latin America. This research situates Latin American MIL experiences within the global information ecosystem, underscoring their significance for rethinking media governance, digital rights, and the cultural dimensions of democracy in the era of artificial intelligence.

The Democratization of the Digital Information Environment and Its Challenges to Democracy

The rapid and profound expansion of digital platforms and artificial intelligence technologies has fundamentally transformed the global information landscape, creating unprecedented challenges for democratic governance. Electoral processes have become particularly vulnerable to sophisticated disinformation campaigns that exploit algorithmic recommendation systems and generative AI tools to produce, circulate, and amplify false content at scale. The World Economic Forum’s Global Risks Report has identified AI-generated misinformation as one of the most significant threats facing democracies worldwide, highlighting how these technologies can distort public discourse and undermine trust in democratic institutions. In Mexico, these challenges are compounded by a complex media ecosystem, deep social inequalities, and a history of contested electoral processes. The convergence of these factors has created an environment where disinformation can spread rapidly across digital platforms, exploiting both technological vulnerabilities and pre-existing social fractures. This context has compelled various actors within Mexican civil society and academia to develop innovative responses that combine traditional media literacy approaches with emerging technologies and verification methodologies. The urgency of these efforts reflects a broader recognition that democratic resilience in the digital age depends not only on institutional safeguards but also on the capacity of citizens to navigate increasingly complex information environments where artificial intelligence can generate convincing synthetic content at scale, blurring the boundaries between authentic public discourse and manufactured deception.

The conceptual framework for understanding these challenges draws from multiple theoretical traditions. Information disorder theory distinguishes between misinformation, disinformation, and malinformation, providing a taxonomy that helps scholars and practitioners understand the various forms of harmful content. The World Economic Forum’s Global Risks Report has identified AI-generated misinformation as one of the most significant contemporary threats, alongside climate change and armed conflict. Within this landscape, UNESCO’s Media and Information Literacy framework has evolved from a basic set of competencies to a comprehensive approach encompassing access, evaluation, and content creation across diverse media platforms. This framework recognizes that citizens must develop critical capacities to navigate an increasingly complex information environment. The integration of fact-checking methodologies with MIL principles represents a significant evolution in countering disinformation. Traditional fact-checking approaches, while essential, have proven insufficient when confronted with the scale and speed of AI-generated content. Contemporary strategies increasingly incorporate prebunking techniques—proactively exposing audiences to weakened versions of misinformation to build cognitive resistance—alongside algorithmic literacy and critical evaluation of digital content. This comprehensive approach acknowledges that information disorders, including misinformation, disinformation, and malinformation, require multi-layered responses that address both the supply and demand sides of the information ecosystem (Wardle and Derakhshan, 2017). The article’s conceptual framework integrates these perspectives, emphasizing that MIL must evolve beyond traditional media literacy to encompass algorithmic awareness, digital rights, and the capacity to navigate hybrid media environments where human and automated content coexist. This evolution reflects the recognition that disinformation in the age of AI operates through complex sociotechnical systems that cannot be addressed through fact-checking alone.

The Mexican Information Landscape and Its Democratic Vulnerabilities

Mexico presents a particularly challenging context for information integrity. The digital information ecosystem in Mexico has been characterized by high levels of polarization, weakening institutional trust, and the pervasive influence of organized crime in certain regions. During the 2024 electoral cycle, these conditions were exacerbated by the increasing sophistication of disinformation operators who leveraged social media platforms such as X (formerly Twitter), Facebook, and TikTok to disseminate ideological messages and manipulate public opinion. The Digital Media Observatory at Tecnológico de Monterrey (OMD-Tec) documented a notable increase in the use of artificial intelligence and automated bot networks to influence political preferences, revealing an evolving threat landscape that combines traditional disinformation tactics with emerging AI-based strategies. The Complutense Observatory of Disinformation identified electoral processes in Mexico as particularly vulnerable, noting that electoral institutions themselves have been targets of coordinated attacks aimed at delegitimizing their authority and undermining public confidence in the democratic process (Rubio-Núñez et al., 2024). These findings underscore the urgent need for comprehensive responses that address both the technological dimensions of disinformation and the broader institutional and civic capacities required to counter them.

The Evolving Threat Landscape: AI, Bots, and Electoral Disinformation in Mexico

The 2024 Mexican electoral process exemplified the growing convergence of artificial intelligence and disinformation, creating unprecedented challenges for democratic governance. The Digital Media Observatory at Tecnológico de Monterrey documented increasing sophistication in the use of AI and automated bots to influence public opinion across platforms such as X, Facebook, and TikTok (OMD-Tec, 2024). These technologies have been employed to disseminate ideological messages, polarize the population, and attack electoral institutions’ legitimacy. The Complutense Observatory of Disinformation similarly identified technological threats compromising electoral integrity and transparency, noting that electoral processes in Mexico have been marked by persistent attacks aimed at delegitimizing democratic institutions (Rubio-Núñez et al., 2024b). The most common disinformation formats identified were tweets and hybrid content combining text with other media, suggesting that platform design and verification mechanisms significantly shape the disinformation landscape. This convergence of algorithmic amplification, political polarization, and institutional distrust creates what researchers describe as a “perfect storm” for democratic governance, making electoral periods particularly vulnerable to coordinated disinformation campaigns that exploit social media’s viral dynamics.

The Mexican Information Ecosystem and Electoral Vulnerabilities

Mexico’s democratic resilience faces distinctive challenges rooted in its media ecosystem and political context. The 2024 electoral process, widely regarded as one of the most complex in the nation’s history, occurred amid an environment characterized by deep political polarization and the proliferation of digital platforms as primary news sources for citizens. The electoral observation report by the Complutense Observatory on Disinformation documented that Mexican electoral processes have been systematically affected by information disorders, with the national electoral authority itself becoming a target of delegitimization campaigns. The analysis revealed that disinformation circulated primarily through Twitter (now X) and Facebook, with “tweets” and videos emerging as the most common formats for disseminating deceptive content. The predominant intent behind these campaigns was characterized as “distortion,” suggesting a sophisticated strategy aimed not merely at spreading falsehoods but at fundamentally warping public perception of political realities. The OMD-Tec at Tecnológico de Monterrey identified growing sophistication in the use of artificial intelligence and automated bots designed to influence public opinion, particularly during the 2024 electoral cycle Skin. These findings underscore the urgency of developing comprehensive institutional responses that combine immediate intervention with long-term educational strategies.

Theoretical Foundations and the Evolving Nature of Information Disorder

The conceptual framework for understanding these challenges draws on information disorder theory, which distinguishes among misinformation (false content without intent to harm), disinformation (false content created and disseminated with deliberate intent to deceive), and malinformation (genuine information used with malicious intent). This typology has been expanded by recent analyses highlighting artificial intelligence as an accelerator of these phenomena, with the World Economic Forum identifying AI-generated misinformation as a significant global risk. The COVID-19 pandemic demonstrated how the “infodemic” of false health information could have lethal consequences, while political contexts have shown how disinformation can undermine electoral legitimacy and democratic institutions. Within this landscape, fact-checking has emerged as a primary response mechanism, yet research indicates that debunking alone is insufficient. The speed, scale, and emotional resonance of disinformation often outpace verification efforts. This recognition has driven the evolution toward more comprehensive strategies that combine fact-checking with preemptive approaches such as prebunking and media literacy education. Drawing on UNESCO’s Media and Information Literacy framework, this article conceptualizes MIL as a set of competencies that empower citizens to understand how information systems function, critically evaluate content, and participate meaningfully in digital public spheres. This approach extends beyond individual cognitive skills to encompass understanding of media systems, algorithmic curation, and the political economy of digital platforms—capabilities increasingly essential in an era when AI can generate convincing synthetic content at scale.

Verificado and the Digital Media Observatory at Tecnológico de Monterrey

The article examines two complementary Mexican initiatives that illustrate the integration of fact-checking, MIL, and AI awareness. Verificado, a civil society organization dedicated to journalistic verification, has developed a comprehensive strategy that extends beyond debunking false content to include systematic educational programs, workshops, and learning platforms designed to strengthen critical evaluation skills among diverse audiences. This approach reflects a shift from purely reactive verification toward proactive capacity-building that acknowledges the structural dimensions of disinformation. The integration of media literacy into core operations represents an understanding that fact-checking alone cannot counter the scale and sophistication of AI-amplified disinformation. The organization has also developed monitoring capacities to track disinformation narratives across platforms, identifying patterns in how false content spreads through social networks during electoral periods.

The second case examined is the Digital Media Observatory at Tecnológico de Monterrey (OMD-Tec), which has established systematic observation protocols for monitoring electoral disinformation on platforms including X (formerly Twitter), Facebook, and TikTok. The Observatory has documented increasing sophistication in the use of artificial intelligence, coordinated bot networks, and computational propaganda techniques designed to manipulate public opinion. Its research has identified that X remains a primary vector for disinformation dissemination, with tweets and videos being the most common formats for misleading content. The Observatory’s work contributes empirical evidence on how disinformation networks operate, providing valuable data for understanding the evolving tactics employed to influence electoral processes. Together, these cases demonstrate how civil society organizations and academic institutions can complement regulatory efforts by developing monitoring capacities, educational programs, and verification mechanisms that operate independently of both government and platform governance structures. Their work exemplifies what the article terms “collaborative information governance,” wherein universities, civil society organizations, and media outlets create synergies that address immediate disinformation threats while building long-term societal resilience.

The Integration of Fact-Checking and Media and Information Literacy

The central argument advanced by the article is that fact-checking alone provides insufficient protection against the scale and sophistication of contemporary disinformation. While verification initiatives are essential, they operate largely as corrective mechanisms that address false content only after it has entered public circulation. The educational dimension represented by MIL programs offers a preventive complement by strengthening the critical capacities that allow citizens to evaluate information independently and recognize manipulative techniques before they exert influence. This dual approach—combining corrective and preventive strategies—acknowledges the structural nature of disinformation as a phenomenon rooted in media ecosystems, algorithmic amplification, and psychological vulnerabilities rather than merely as isolated instances of false content. The Verificado case illustrates how organizations can integrate these dimensions strategically, using fact-checking as a gateway to broader civic education initiatives that foster sustained critical engagement rather than episodic intervention during electoral periods MV.

The article also emphasizes the importance of what the researchers term “cognitive hygiene,” an epistemological approach to media literacy that helps citizens distinguish between facts, interpretations, and narratives within complex information environments. This framework acknowledges that democratic resilience depends not only on institutional mechanisms such as regulation and platform governance but equally on the development of informed citizenries capable of navigating increasingly sophisticated information manipulation. In an era where artificial intelligence enables the creation of highly realistic synthetic content—including deepfakes, automated propaganda networks, and algorithmically amplified divisive narratives—the capacity to critically evaluate digital information becomes as fundamental to democratic functioning as traditional civic competencies. The integration of academic research with civil society practice, exemplified by the collaboration between Verificado and OMT-Tec, demonstrates how universities and verification organizations can combine their complementary capacities, with academic institutions providing systematic observation and analysis while civil society organizations offer rapid response capabilities and direct civic engagement. This collaborative dynamic has proven particularly valuable in Mexico’s electoral context, where institutional capacity for information governance remains limited and where the combination of political polarization and technological sophistication has created conditions particularly conducive to disinformation.

Conclusions: Media Literacy as Democratic Infrastructure

The article concludes by situating these findings within broader debates on democratic resilience and platform governance. The researchers argue that MIL should be understood not merely as an educational strategy but as essential infrastructure for democratic functioning in the digital age. Their analysis of the Mexican cases demonstrates how the integration of fact-checking, educational programming, and technological observation can create synergistic responses that address both immediate information threats and the underlying vulnerabilities that make societies susceptible to manipulation. However, the article also acknowledges significant limitations, including the financial sustainability of fact-checking initiatives, the challenges of reaching populations beyond the digitally engaged middle class, and the persistent structural conditions—including media concentration, educational inequality, and political polarization—that constrain the transformative potential of informational interventions.

Conclusions and Future Research Directions

The article concludes by advocating for a broader understanding of Media and Information Literacy in the age of artificial intelligence—one that encompasses technical verification skills and critical understanding of platform algorithms, data governance, and the political economy of digital infrastructures. The researchers argue that democratic resilience in contemporary societies depends fundamentally on strengthening what they term “algorithmic literacy” among citizens: the capacity to recognize how platforms shape visibility, ranking, and recommendation systems in ways that may amplify division and misinformation. Electoral integrity, they contend, increasingly depends on both institutional safeguards and the development of informed publics capable of understanding the technological environments through which they receive political information laim.

The proposed collaborative model positions universities and civil society organizations as essential pillars of “information democracies,” particularly in contexts where state regulatory capacity remains limited or fragmented. Rather than constituting a weakness, the article suggests that this civil society–academic nexus may represent a comparative advantage, enabling flexible and innovative responses that adapt quickly to emerging threats. Educational institutions contribute research capacities, credibility, and access to specialized expertise, while civil society organizations bring community connections, operational agility, and deep understanding of local information ecologies. The article’s analytical framework draws on UNESCO’s Global Standards for Media and Information Literacy, which conceptualize these competencies as fundamental rights necessary for meaningful participation in contemporary democratic societies. However, the authors argue that this framework requires updating to address artificial intelligence’s specific challenges—particularly algorithmic manipulation, synthetic content, and computational propaganda. They propose an expanded understanding of MIL that incorporates algorithmic literacy, enabling citizens to recognize how platform architectures shape their information environments, and critical AI literacy, allowing them to identify machine-generated content and understand its implications.

Conclusions: Toward Collaborative Information Governance

The findings suggest that effective responses to electoral disinformation in the age of AI require coordinated action across multiple sectors: fact-checking organizations, universities, media outlets, civil society organizations, and public institutions. The collaboration between Verificado and the Observatorio de Medios at Tecnológico de Monterrey exemplifies how such multi-stakeholder approaches can integrate complementary capacities. While fact-checking provides immediate correction of false narratives, academic research contributes systematic monitoring, contextual analysis, and educational programming that build long-term resilience. This collaborative model also addresses the structural dimensions of disinformation that individual interventions cannot adequately tackle, including platform governance, journalistic practices, and educational curricula. However, significant challenges remain, particularly regarding sustainable financing, scaling successful initiatives beyond urban centers, maintaining editorial independence when verifying content produced by powerful political actors, and adapting to the rapidly evolving landscape of AI-generated content. Despite these obstacles, the experiences analyzed suggest that integrated approaches combining verification, education, and research offer the most promising pathways for strengthening democratic resilience in an era of AI-mediated communication.

The conclusions emphasize that MIL must be understood as a structural component of democratic governance rather than merely an educational supplement. In Mexico’s 2024 electoral context, where automated accounts amplify polarization and AI-generated content blurs the boundaries between authentic and synthetic communication, the capacities fostered through media literacy—source verification, recognition of manipulation techniques, understanding of algorithmic content curation, and critical evaluation of digital information—have become essential civic competencies. The article advocates for understanding these initiatives as part of broader efforts toward “information governance,” which involves not only regulatory frameworks and platform accountability but also the cultivation of informed citizenries capable of exercising their rights in increasingly contested information environments. The collaborative model proposed, integrating civil society organizations with academic institutions, offers valuable insights for other Latin American democracies confronting similar challenges, particularly where state capacities for information governance remain limited or where platform regulation is underdeveloped. However, the authors acknowledge significant limitations: institutional fragility, financial sustainability challenges, and the risk of fact-checking fatigue among audiences exposed to continuous streams of disinformation. Nevertheless, the article argues that these challenges strengthen the case for reimagining media literacy not merely as an individual skill set but as a structural component of democratic infrastructure in the digital agecars the proposal for future research emphasizes the need for comparative studies examining how different countries in the region, and more broadly across the Global South, are developing innovative strategies to address the interplay between AI and democracy. The Mexican case suggests that effective responses emerge not from top-down initiatives but from collaborative ecosystems involving civil society, academia, and increasingly, conscientious media organizations. The integration of fact-checking, MIL, and digital observation creates synergies that address different stages of the disinformation challenge: debunking false content, strengthening citizen resilience, and documenting the tactics of malicious actors. This comprehensive approach reflects the multidimensional nature of the threat and the need for equally multifaceted responses. The article positions media and information literacy not merely as an educational ideal but as a fundamental right that must be operationalized through institutional innovations capable of adapting to the evolving technological landscape. As artificial intelligence continues to transform the information environment, such collaborative models will become increasingly essential for sustaining democratic governance. The Mexican experience suggests that the combination of rigorous verification practices, educational initiatives, and strategic use of digital observation tools—all grounded in a commitment to information integrity—can contribute meaningfully to democratic resilience. However, the article also acknowledges persistent challenges, including sustainability of funding, political pressures, and the continuous adaptation required to address rapidly evolving disinformation tactics. Future research should examine the scalability and transferability of these models to other democratic contexts, particularly those facing similar technological and informational vulnerabilities. The protection of electoral integrity in the age of artificial intelligence ultimately depends on the development of robust institutional ecosystems capable of simultaneously addressing the immediate manifestations of disinformation and the underlying conditions that enable its proliferation.

The article concludes by emphasizing that democracy in the digital age requires not only technological solutions but also a renewed commitment to the values of critical thinking, informed citizenship, and institutional transparency. The experiences of Verificado and the Digital Media Observatory at Tecnológico de Monterrey demonstrate that Latin American civil society and academic institutions are developing innovative and contextually appropriate responses to the challenges of AI-mediated disinformation. These initiatives contribute not only to electoral integrity but also to the broader project of strengthening democratic cultures in an era of profound technological transformation. The collaborative model they represent offers valuable lessons for other societies confronting similar challenges, suggesting that the defense of democratic information ecosystems depends on the articulation of diverse actors, the integration of complementary strategies, and the recognition that literacy—in its broadest sense—remains the foundation of democratic resilience in the age of artificial intelligence.

Summary of the Article: Media and Information Literacy, Fact-Checking, and Digital Resilience in Mexico’s Electoral Context

Paragraph 1: Introduction to the Research Framework and Problem

This article investigates how civil society organizations and academic institutions in Mexico have developed media and information literacy (MIL), fact-checking, and digital media observation strategies to address artificial intelligence-mediated disinformation during electoral processes. The research examines the collaborative work of Verificado, a prominent Mexican fact-checking organization, and the Digital Media Observatory at Tecnológico de Monterrey (OMD-Tec), analyzing their initiatives through UNESCO’s MIL framework complemented by perspectives from Media Ecology and General Semantics. The study contextualizes these efforts within the broader Latin American landscape, where the rapid expansion of digital platforms has transformed the information ecosystem, creating unprecedented vulnerabilities during electoral periods. The research proposes a collaborative model between civil society and universities as a means of addressing technological and informational challenges while supporting democratic sustainability. By situating Mexican experiences within global conversations about media governance and digital rights, the article contributes to understanding how societies can respond to the convergence of artificial intelligence, algorithmic content distribution, and political communication. The findings carry particular significance for democracies in the Global South, where institutional capacity varies and where platform governance often remains beyond national regulatory reach, making civil society initiatives especially crucial for safeguarding information integrity during electoral processes.

The digital transformation of communication ecosystems has fundamentally altered the relationship between citizens, media, and democratic institutions. Artificial intelligence, including generative AI and automated content production, has dramatically reduced the cost and increased the speed at which disinformation can be created and disseminated. The proliferation of deepfakes, AI-generated text, and sophisticated bot networks has created an environment where citizens face unprecedented challenges in distinguishing authentic information from synthetic content. Electoral processes are particularly vulnerable because disinformation campaigns can target specific communities with precision, exploit emotional divides, and undermine confidence in the integrity of electoral systems. The article argues that these developments necessitate a reconceptualization of media and information literacy for the AI era. Traditional literacy frameworks focused on evaluating sources and identifying bias remain essential but insufficient. Contemporary MIL must incorporate algorithmic literacy—the capacity to understand how platform architectures, recommendation systems, and automated content moderation shape what citizens see, believe, and share. It must also address the cognitive effects of synthetic media that blur the boundaries between authentic and manufactured content. The integration of these competencies requires educational initiatives that move beyond abstract principles toward practical engagement with the technological realities of contemporary information ecosystems.

Given that the first paragraph introduces the research problem and theoretical framework, this substantive analysis of the Mexican cases and their implications constitutes the final core component. The article positions Mexico within the broader Latin American context, where the challenges of digital disinformation intersect with longstanding institutional weaknesses, high social inequality, and vibrant traditions of civil society mobilization. The collaborative model between Verificado and academic institutions demonstrates how MIL principles can be operationalized through concrete organizational practices. This includes not only educational workshops and published fact-checking guides but also the development of innovative tools for monitoring digital media. The integration of AI-literacy into these initiatives represents a significant adaptation to contemporary challenges, preparing citizens not merely to identify false content but to understand the algorithmic systems that shape their information environments. The article identifies the specific vulnerabilities of electoral processes to AI-amplified disinformation, including the use of synthetic media, automated amplification networks, and micro-targeted manipulation strategies. These threats require responses that combine technical sophistication with educational interventions capable of reaching diverse populations. The Mexican case also demonstrates the importance of sustained institutional collaboration beyond electoral cycles, with ongoing monitoring and educational efforts that build long-term societal resilience rather than merely responding to immediate crises. The article positions these efforts within broader debates about platform governance, digital rights, and the cultural dimensions of democracy in Latin America, suggesting that civil society and academic institutions will increasingly serve as critical intermediaries between citizens and the complex information ecosystems they navigate. While the challenges posed by AI-driven disinformation are formidable, the Mexican experience offers tentative evidence that collaborative, education-centered approaches can contribute meaningfully to democratic resilience. The integration of media and information literacy into fact-checking initiatives represents a promising evolution in the field, one that recognizes that sustainable solutions must strengthen citizens’ capacities to navigate complex information environments rather than merely attempting to police content. This dual commitment—both institutional and pedagogical—may ultimately prove more durable than technological fixes alone, particularly in contexts where regulatory frameworks remain nascent and platform accountability limited. The article thus contributes to a growing body of scholarship on media and information literacy as a structural component of democratic governance, offering lessons that extend well beyond the Mexican context to inform global debates on platform governance, digital citizenship, and the future of democratic institutions in the age of artificial intelligence.