Previous research on the perception of misinformation, or “fake news”, has usually been conducted in a one-time laboratory or online study where the news was prepared in advance. In the current study, however, the perception of misinformation will be investigated using a combination of experimental and experience sampling methods, in which participants evaluate real-time news on their smartphones throughout the day. We hypothesize that under time pressure, misinformation will be rated as more accurate than without time pressure. In addition, the situational context, such as a high level of distraction, may increase the belief in misinformation. To deliver real-time news, we have developed a mobile application. The messages are randomly assigned to either the “true” or “false” condition. In the true condition, the information is streamed from an official news channel. In the false condition, an original message is modified by a ChatGPT algorithm to contain false information. In the current study, we aim to replicate the finding that time pressure increases belief in false news and to extend previous research by examining the influence of situational variables. The results will be discussed at the conference.