-
As generative AI makes it easier to create synthetic visuals at scale and speed in digital information environments, AI-driven visual disinformation is becoming more common on social media. However, while […]
-
Journalists are regularly accused of being strongly left leaning, which critics claim leads to biased reporting. Previous research suggests this assumption may be over-simplistic, but direct empirical tests are rare, […]
-
When journalists perceive more misinformation from one side of the political spectrum, do they face a normative dilemma between truth and balance? Correcting one party more often in pursuit of […]
-
This article explores how AI-generated content reconfigures struggles over authenticity in witness media. Media witnessing is traditionally understood as a relational field of practice involving the performance through media of […]
-
Public trust in science may depend not only on the quality of the research but also on laypersons’ attitudes toward the underlying topic. Although Open Science practices are meant to […]
-
Despite concern about exposure to content from untrustworthy sources on social media, little is known about the frequency or effects of exposure to their content. We examine 2020 data from […]
-
More and more Americans are using AI chatbots, including turning to them for health information. These chatbot health users are motivated by a host of reasons, ranging from making diagnoses to learning […]
-
At the heels of the 2024 U.S. presidential election, public attention turned to the role social media influencers played in Donald J. Trump’s decisive win. In the United States, unlike […]
-
As AI systems increasingly claim sentience, the psychological impact of such claims on users—independent of their objective veracity—represents a critical frontier for understanding human–AI relationships. This research investigates how exposure […]
