Generative AI and deceptive news consumption

In this paper, we analyze the effects of advancements in generative Artificial Intelligence (GenAI) on the news media market. We model a representative consumer who allocates their time between reading news and deceptive articles. We find that GenAI may induce consumers to inefficiently reallocate their time and increase the consumption of the lower value good, i.e. deceptive content (clickbait articles or fake news). Therefore, early-stage GenAI distorts the incentives of consumers and reduces their welfare. After GenAI technology reaches a certain threshold, however, consumers start benefiting from its advancements. Finally, we find that the negative effects of early-stage GenAI are exacerbated as they induce a lower level of investment in news production.

Sandrini, Luca and Robert Somogyi (2023), Generative AI and deceptive news consumption, Economics Letters 232 , 1-4