Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
Mowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos

TL;DR
This paper analyzes how news media across six countries and different political orientations influence public and policy perceptions of AI risks, highlighting variations in risk prioritization and framing.
Contribution
It introduces a cross-national comparative analysis of news media coverage on AI risks, emphasizing the role of political and cultural differences in shaping risk perception.
Findings
AI risks are prioritized differently across countries.
Left and right-leaning outlets differ in risk framing.
Politicized language influences risk perception.
Abstract
Risk-based approaches to AI governance often center the technological artifact as the primary focus of risk assessments, overlooking systemic risks that emerge from the complex interaction between AI systems and society. One potential source to incorporate more societal context into these approaches is the news media, as it embeds and reflects complex interactions between AI systems, human stakeholders, and the larger society. News media is influential in terms of which AI risks are emphasized and discussed in the public sphere, and thus which risks are deemed important. Yet, variations in the news media between countries and across different value systems (e.g. political orientations) may differentially shape the prioritization of risks through the media's agenda setting and framing processes. To better understand these variations, this work presents a comparative analysis of a…
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Taxonomy
TopicsComputational and Text Analysis Methods
