Open AccessPolitical ScienceComputer SciencePsychology

S. Kreps, Miles McCain, Miles Brundage

2020.9.24Journal of Experimental Political Science

DOI: 10.1017/xps.2020.37

tlooto Summary

It is found that individuals are largely incapable of distinguishing between AI- and human-generated text; partisanship affects the perceived credibility of the story; and exposure to the text does little to change individuals’ policy views.

Abstract

Abstract Online misinformation has become a constant; only the way actors create and distribute that information is changing. Advances in artificial intelligence (AI) such as GPT-2 mean that actors can now synthetically generate text in ways that mimic the style and substance of human-created news stories. We carried out three original experiments to study whether these AI-generated texts are credible and can influence opinions on foreign policy. The first evaluated human perceptions of AI-generated text relative to an original story. The second investigated the interaction between partisanship and AI-generated news. The third examined the distributions of perceived credibility across different AI model sizes. We find that individuals are largely incapable of distinguishing between AI- and human-generated text; partisanship affects the perceived credibility of the story; and exposure to the text does little to change individuals’ policy views. The findings have important implications in understanding AI in online misinformation campaigns.

Citation format

KREPS, S.; MCCAIN, Miles; BRUNDAGE, Miles. All the news that’s fit to fabricate: AI-Generated text as a tool of media misinformation. Journal of Experimental Political Science, 2020, 9: 104–117.