In the era of social media, the pace at which information spreads is faster than ever.
Twitter (now X), Telegram, and Facebook are just a few examples of platforms used daily by millions of users to keep track of what is happening around the globe.
While relying on fast and easily accessible sources of information is highly desirable in order to avoid lagging behind, the near continuous availability of content can also be seen as a double-edged sword.
As attention spans have been shrinking alongside the increasing number of hours spent behind screens,
both the quality and, most importantly, the truthfulness of the information we consume have suffered a noticeable decline.
In this environment, where speed often prevails over accuracy, information is no longer merely shared, it is engineered, amplified, and, at times, weaponized.
Narratives can be shaped within minutes, and false or misleading content can spread just as rapidly as verified facts, if not more so.
This article aims to explore the evolving relationship between information warfare, artificial intelligence, and the rise of disinformation as a meta-weapon in contemporary political and social landscapes.
Information warfare: not a novelty
Information warfare is far from a recent phenomenon. Throughout history, political actors have sought to shape perceptions, influence public opinion, and weaken adversaries through the strategic use of information.
During World War I, governments institutionalized propaganda through dedicated bodies such as the British War Propaganda Bureau and the U.S. Committee on Public Information, which produced posters, films, and press material designed to mobilize domestic support and demonize the enemy.
In World War II, propaganda reached an even greater level of sophistication, exemplified by the Nazi Ministry of Public Enlightenment and Propaganda under Joseph Goebbels, which tightly controlled media narratives, and by Allied efforts such as the BBC’s foreign broadcasts aimed at countering Axis messaging.
During the Cold War, information warfare evolved into systematic disinformation campaigns and psychological operations.
The Soviet Union, for instance, engaged in “active measures,” including Operation INFEKTION, a campaign that spread the false claim that HIV/AIDS was a U.S.-engineered biological weapon, disseminated through international media and sympathetic outlets.
Similarly, the United States conducted psychological operations through outlets such as Radio Free Europe and Radio Liberty, aiming to influence audiences behind the Iron Curtain.
Even prior to the twentieth century, rulers relied on pamphlets, rumors, and controlled narratives to consolidate power and undermine rivals, demonstrating that the manipulation of information has long been embedded in political strategy.
What distinguishes the present, however, is not the existence of information manipulation itself, but the unprecedented scale, speed, and reach enabled by modern technological developments, which have transformed it into a far more pervasive and difficult to contain force.
Furthermore, advancements in algorithmic technologies and the widespread diffusion of generative artificial intelligence tools represent a serious challenge when it comes to the production of fake content.
Machine learning systems are now capable of generating highly realistic text, images, audio, and video with minimal human intervention, significantly lowering the barrier to entry for the creation of deceptive material.
As a result, manipulated content is becoming increasingly sophisticated and more difficult to distinguish from authentic sources, not only for the general public but, in some cases, even for experts.
At the same time, algorithm-driven platforms tend to prioritize engagement, often amplifying sensational or emotionally charged content regardless of its accuracy.
This dynamic further accelerates the circulation of misleading narratives, creating an environment in which false information can spread rapidly and persist despite efforts to correct it.
Troll factories
The system of Russian “troll factories” or “web brigades,” whose structure, methods, and evolution have been documented across governmental reports, journalistic investigations, and open-source analyses is a particularly illustrative case of contemporary information warfare.
According to a UK Government press release, these operations consist of coordinated networks of paid operatives who actively disseminate pro-Kremlin narratives across social media platforms, often targeting politicians, journalists, and public figures in multiple countries, including the United Kingdom, South Africa, and India.
These actors do not operate randomly; rather, they follow organized, quasi-industrial workflows in which individuals are recruited, briefed, and instructed, frequently via platforms such as Telegram, to engage in “brigading” behavior, meaning the mass posting of coordinated comments on specific profiles or content in order to manipulate visibility and distort perceived public opinion.
The same report highlights how these networks deliberately prioritize commenting and amplification over original content production, a tactic designed to reduce detectability while exploiting platform algorithms that reward engagement.
The origins of such practices back to the early 2000s and links them to state-sponsored entities like the Internet Research Agency, a St. Petersburg-based organization associated with large-scale online influence campaigns and figures such as Yevgeny Prigozhin.
These groups are typically structured into teams that manage multiple fake or semi-authentic accounts, the so-called “sockpuppets”, and are often required to produce high volumes of content daily, blending political messaging with neutral or lifestyle topics in order to appear credible and avoid detection.
Their strategy is not necessarily to convince audiences directly, but, as noted in investigative accounts, to flood the information space with conflicting narratives, conspiracy theories, and emotionally charged content, thereby creating confusion, polarization, and informational fatigue.
More recent reporting, such as BBC Monitoring’s analysis of AI-driven disinformation campaigns, suggests that these tactics are now being significantly enhanced by technological developments.
In particular, the integration of generative AI has enabled the production of synthetic videos, deepfake audio, and highly realistic textual content at scale, dramatically increasing both the volume and sophistication of influence operations.
These tools allow actors to fabricate seemingly authentic personas and messages, lowering costs while expanding reach, and enabling campaigns to rapidly adapt to different linguistic and cultural contexts.
At the same time, the combination of automated content generation with human-coordinated amplification strategies creates a hybrid model of influence that is both scalable and resilient.
Taken together, these elements demonstrate that Russian troll operations are not merely instances of online harassment or propaganda, but rather complex, adaptive systems of information manipulation that integrate organizational discipline, platform-specific tactics, and emerging technologies to systematically shape and distort public discourse.
Inside Russian troll factories (CNN): https://www.youtube.com/watch?v=y2_V2VbpcKs
One of the offices of Prigozhin’s Internet Research Agency in Saint Petersburg, Russia
Policy-makers dilemma
This evolving landscape places policymakers at the center of a structural dilemma: how to contain the harms of disinformation without eroding the very foundations of democratic discourse.
The case discussed in the King’s College London Social Journal, concerning the viral spread and subsequent removal of misleading Covid-19 vaccine content, exemplifies this tension in concrete terms.
While platform intervention, through deletion or restriction can be effective in limiting immediate public harm, particularly in high-stakes contexts such as a global health crisis, it simultaneously raises concerns about the legitimacy, scope, and unintended consequences of such actions.
As the European Parliament study “The fight against disinformation and the right to freedom of expression” emphasizes, disinformation is often not illegal per se and may still fall within the protective ambit of freedom of expression, a cornerstone of democratic societies.
This legal and normative reality complicates any attempt at direct suppression: removing content risks overreach, private or state-driven censorship, and the amplification of mistrust among audiences already inclined to question institutional authority.
Indeed, as highlighted in the King’s College analysis, censorship may paradoxically reinforce conspiracy thinking by feeding narratives of hidden truths and systemic concealment.
At the same time, inaction is not a neutral alternative. The European Parliament report stresses that disinformation undermines the “discursive social space” necessary for democracy by distorting citizens’ ability to access accurate information, thereby weakening informed participation and collective decision-making. In this sense, the failure to intervene can be as damaging as excessive intervention.
The dilemma is therefore not binary but structural: policymakers must navigate between the risks of overregulation and the risks of systemic informational decay.
Contemporary regulatory thinking increasingly reflects this complexity, favouring proportional and layered responses, such as algorithmic transparency, content labelling, and the reduction of amplification, over blunt removal strategies.
Moreover, both sources converge on a crucial insight: the problem cannot be solved solely at the level of content moderation.
Rather, it is rooted in the architecture of the digital information ecosystem itself, particularly in attention-driven business models and engagement-maximising algorithms that incentivise the production and circulation of sensational and misleading content.
Ultimately, the challenge is not simply to draw a line between fake news and free speech, but to redesign the conditions under which information is produced, distributed, and consumed.
This requires a shift from reactive censorship to systemic governance, one that distributes responsibility across states, platforms, media institutions, and citizens, while preserving the normative commitment to freedom of expression.
Only by addressing these underlying dynamics can policymakers hope to reconcile the protection of democratic discourse with the need to mitigate the harms of disinformation.
Wrapping up the information sector
Over the past few years, the spectre of conflict has re-emerged with increasing intensity, both within and beyond European borders, while geopolitical instability, from the Middle East to other regions, has escalated at a worrying pace.
In an era marked by profound political polarization, the spread of misinformation and the construction of simplified, binary narratives represent a serious threat to public interest and to society as a whole.
These dynamics not only distort reality but also deepen divisions, making constructive dialogue increasingly difficult. At the same time, advancements in generative artificial intelligence have significantly amplified these risks.
The ability to produce highly realistic and potentially harmful content is no longer limited to state actors or specialized groups, but is increasingly accessible to a broad range of individuals.
This democratization of content creation, while offering new opportunities, also exacerbates the scale and complexity of disinformation, making it harder to detect and counter.
Within this context, policymakers are confronted with a fundamental challenge: how to limit the spread of false or misleading information without constraining the openness of the public sphere.
As discussed throughout this article, this is not merely a technical or regulatory issue, but a deeply normative one, requiring a careful balance between protecting democratic discourse and preserving freedom of expression.
While these challenges may appear overwhelmingly complex at the systemic level, responsibility also lies at the individual level.
Users play a crucial role in shaping the information environment, and greater awareness is essential. Avoiding the uncritical sharing of dubious content and engaging more thoughtfully with information are small but meaningful steps toward mitigating the spread of disinformation.
Admittedly, this is easier said than done in a fast-paced digital ecosystem designed to capture attention, yet it remains a necessary component of any broader solution.
Ultimately, addressing the problem of disinformation requires a collective effort that spans institutions, platforms, and individuals alike. Only through a combination of regulatory innovation, technological accountability, and informed civic behaviour can a more resilient and trustworthy information ecosystem be achieved.
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