News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News
Sujit Mandava, Deepak P, Sahely Bhadra

TL;DR
This paper uncovers a geo-political veracity gradient in news from the Global South, showing that news about Global North topics tends to be less fake, influenced by economic incentives and regional biases, with implications for AI fake news detection.
Contribution
It introduces the concept of the geo-political veracity gradient, providing empirical evidence and analyzing its impact on AI fake news detection across regions.
Findings
Global South news about Global North topics is less likely to be fake.
Fake news creation incentives vary by region and topic.
AI fake news detection models are affected by regional biases.
Abstract
While there has been much research into developing AI techniques for fake news detection aided by various benchmark datasets, it has often been pointed out that fake news in different geo-political regions traces different contours. In this work we uncover, through analytical arguments and empirical evidence, the existence of an important characteristic in news originating from the Global South viz., the geo-political veracity gradient. In particular, we show that Global South news about topics from Global North -- such as news from an Indian news agency on US elections -- tend to be less likely to be fake. Observing through the prism of the political economy of fake news creation, we posit that this pattern could be due to the relative lack of monetarily aligned incentives in producing fake news about a different region than the regional remit of the audience. We provide empirical…
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Taxonomy
TopicsInternational Relations and Foreign Policy · Media Studies and Communication
