When reading a news article on a website, a range of signals can be used in order to infer its trustworthiness: quantity and type of advertisement, professionalism of the design, pop-ups, etc. In contrast, when news articles are “posted" on Facebook, they are all formatted in the same, standardized and clean way, deprived of the signals originally attached to a news source. We argue that, as a consequence, citizens will be less likely to discern true from false information when they encounter it on Facebook than outside the platform. We test this hypothesis through a survey experiment where participants are randomly assigned into one of two conditions: they will judge the accuracy of news items either as they are shown on the source’s website, or as they would look like as Facebook posts. Besides this, we also focus on information verification behaviour, i.e. if and how people search online for information after reading a news headline and before making a final decision on its reliability. We study this outcome in an innovative way by incentivising subjects to share their browser history from during the experiment, with a procedure we pre-tested for validity. This project sheds light on a subtle, yet potentially consequential aspect of how the platform economy affects the public sphere.