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The Battle of Narratives in the 21st Century: How Social Media and Artificial Intelligence Are Shaping the Digital Information Landscape

Authors: Marsili, Marco;

The Battle of Narratives in the 21st Century: How Social Media and Artificial Intelligence Are Shaping the Digital Information Landscape

Abstract

The 21st century has witnessed an unprecedented transformation in how narratives are constructed, disseminated, and weaponized. This lecture examines the evolving dynamics of propaganda, political communication, and digital disinformation, focusing on the dual role of social media platforms and artificial intelligence (AI) in reshaping the global information ecosystem. Beginning with a historical overview of propaganda—from 20th-century state-controlled media to today’s decentralized digital networks—the discussion highlights how technological advancements have amplified the speed, scale, and sophistication of narrative manipulation. Central to the analysis is the exploitation of social media by governments and political actors to spread partisan narratives, including AI-generated content such as deepfakes, synthetic media, and algorithmically optimized messaging. Case studies illustrate how these tools are deployed to influence policymakers, polarize societies, and undermine democratic processes (e.g., election interference campaigns, viral disinformation during crises). The lecture also addresses regulatory and legislative responses to these challenges, contrasting national approaches with EU-wide initiatives such as the Digital Services Act (DSA) and the AI Act. By evaluating policies aimed at platform accountability, transparency in political advertising, and ethical AI governance, the talk critically assesses the balance between safeguarding free expression and curbing digital harms. Ultimately, this lecture underscores the urgent need for multidisciplinary strategies—combining technology literacy, robust policymaking, and international cooperation—to navigate the “post-truth” era. Safeguarding fundamental rights, including freedom of thought, expression, and access to information, must remain central to these efforts, while guarding against undue political censorship or authoritarian overreach. By fostering frameworks that balance democratic accountability, ethical innovation, and digital resilience, societies can mitigate manipulative practices while preserving the open exchange of ideas essential to democratic governance.

Lecture given at the 4th International Social Science Week, University of Sarajevo - Faculty of PoliticalSciences, 16 May 2025. https://fpn.unsa.ba/b/4th-international-social-science-week-at-the-university-of-sarajevo-faculty-of-political-sciences/

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Keywords

Machine Learning/ethics, Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Media Exposure/ethics, Journalism, Persuasive Communication, International law, Artificial Intelligence/standards, Journalism/instrumentation, International politics, Machine Learning, Artificial Intelligence/history, International conflict, Artificial Intelligence, Information, Cognitive psychology, Machine learning, Media Exposure, International Law, Artificial Intelligence/trends, Mass Media, Disinformation, Media Exposure/standards, Political violence, Artificial Intelligence/ethics, Communication, Communications Media, Political doctrine, Journalism/trends, Cognitive Psychology, Media Exposure/education, Political power, Artificial Intelligence/legislation & jurisprudence, International balance, Machine Learning/trends, Cognitive robots, machine learning, Political communication, Artificial Intelligence/classification, Communication policy, Cognitive Science, Propaganda, Political Activism, Interdisciplinary Communication, Political sciences, International relations, Social Media, Mass media

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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