Developing artificial intelligence (AI) equitably necessitates understanding how nonexperts
conceptualize and share news about technoscientific risk. We examine a model predicting …

This study investigates how balanced news coverage, presenting both the positive and
negative aspects of artificial intelligence (AI), may lead to attitudinal changes among the …

This study explored the factors influencing the US public's intent to seek risk information via
AI-powered channels, such as ChatGPT. It focused on cognitive and affective pathways that …

This study investigates how anticipating an artificial intelligence agent versus human
information source moderates the risk information seeking and processing model. It focuses …

The main goal of many political and intelligence forecasts is to effectively communicate risk
information to decision makers (ie consumers). Standard reporting most often consists of a …

Media exposure can shape audience perceptions surrounding novel innovations, such as
artificial intelligence (AI), and could influence whether they share information about AI with …

Online knowledge‐sharing platforms construct risk knowledge and provide the audience
with risk‐related scientific facts. We study how speakers organize narratives in past, present …

The spread of science misinformation harms efforts to mitigate threats like climate change or
coronavirus. Construal-level theory suggests that mediated messages can prime …

This study examines the influence of mass media, interpersonal communication, and
elaborative processing on public perception of benefits and risks of nanotechnology, based …

Research indicates that uncertainty in science news stories affects public assessment of risk
and uncertainty. However, the form in which uncertainty is presented may also affect …